Container port planning container truck parking classification demand calculation method based on container truck operation process

Abstract

The invention discloses a container port planning container truck parking classification demand calculation method based on a container truck operation process, which avoids traditional errors and is more accurate in result, and comprises the following steps of: S11, acquiring related data of a certain existing wharf, an empty container yard outside a certain existing port, a certain existing container truck parking lot and an existing full-port container truck; inputting the data into a parameter processing module for data processing; s12, inputting the operation result of the stage S11 into a wharf construction parking demand calculation module and an out-port empty container storage yard construction parking demand calculation module for data processing; s13, inputting the operation results of the stages S11 and S12 into a daytime operation link public parking demand calculation module for data processing; s14, running results of the stages S11, S12 and S13 are input into a night rest link public parking demand calculation module for data processing; and S15, inputting the operation results of the stages S12, S13 and S14 and related data into a B / S architecture parking gap early warning module, and outputting an early warning result.

Description

Technical Field

[0001] The invention belongs to the technical field of port transportation, and in particular refers to a method for calculating container truck parking classification requirements for container port planning based on a container truck operation process. Background Art

[0002] The classification of container truck parking is the premise for determining the parking demand of container trucks. At present, there is no unified industry standard for the classification of container truck parking demand in container ports, and there are also large differences in the actual operation of various port cities. Generally speaking, there are three classification methods: ① Classification by parking lot service objects, represented by Ningbo and Qingdao. Ningbo and Qingdao refer to the urban car parking classification method and divide the parking demand of container trucks into two categories: public parking and supporting parking according to the parking lot service objects.

[0003] ② Classification by vehicle operation process, represented by Shenzhen and Dalian. Shenzhen divides the parking demand of container trucks into three categories according to the purpose of parking: fixed parking generated during night rest or vehicle overhaul, temporary parking during intermittent rest and refueling and repair during production, and operational parking for handling procedures and loading and unloading of goods in port areas and logistics land. Dalian divides the parking demand of container trucks into four categories according to the place where the parking demand is generated: parking demand for inspection when vehicles enter the terminal from the overpass, parking demand for queuing before vehicles enter the terminal, parking demand at the container inspection station, and parking demand for customs inspection when container trucks enter and leave the terminal. This classification method is also based on the classification method of the operation process of container trucks to a certain extent.

[0004] ③ A mixed classification of the two, represented by Shanghai. The parking demand for container trucks in Shanghai Waigaoqiao area is divided into four categories: parking for enterprises around the port, parking demand for external vehicles waiting for new orders on the spot after completing their work, parking demand for vehicles waiting in line before entering the yard, and parking demand for vehicles waiting in line before entering the port area. This classification method is a mixture of Ningbo and Shenzhen.

[0005] The difference in the classification of container truck parking has directly led to the obvious differentiation in the calculation path of container truck parking demand in various places. Generally speaking, it can be divided into the following two categories: ① "Determine parking demand based on vehicle scale", directly calculate the parking demand for container trucks based on the number of container trucks in stock, represented by Ningbo and Qingdao. Ningbo basically refers to the method for calculating parking demand for urban cars, and according to the principle of "one car, one parking space" for container trucks, equates the total parking demand for port container trucks with the total vehicle scale of port container trucks, and proposes a parking structure for container trucks with a public parking share of 70% and a parking space of 30%. Qingdao believes that local truck parking can be solved through its own enterprise construction, and foreign trucks are the main source of public parking for port container trucks, while only 10% of foreign trucks need parking, so the scale of foreign vehicle scale and parking space turnover rate are directly used to determine the scale of public parking demand for container trucks.

[0006] ② "Determine parking demand based on the volume of container and distribution traffic", calculate parking demand based on the volume of container truck traffic, represented by Shenzhen, Dalian and Shanghai. First, calculate the peak hour container truck traffic volume based on the port throughput and the proportion of highway container and distribution, and then determine the parking turnover rate based on surveys or relevant experience, so as to calculate parking demand.

[0007] Since domestic container ports basically adopt a 24-hour, all-weather operation mode throughout the year, and the container trucks serving the ports also follow the same operation mode, and the operation process of the container trucks involves many operation links, and the traffic characteristics of each link vary greatly. This is significantly different from the traffic characteristics of urban cars, which mainly travel between work and work, and the parking time far exceeds the driving time. Therefore, it can be considered that the study of container truck parking demand without operating procedures in Ningbo and Qingdao will lead to deviations in the calculation results, while the parking classification method based on vehicle operation procedures in Shenzhen and Dalian is more suitable for ports. However, in actual applications, the parking demand calculation method of "determining parking demand based on the volume of collection and distribution traffic" in Shenzhen and Dalian has deviated from the influence of vehicle operation procedures and needs to be revised. Summary of the invention

[0008] In view of the shortcomings of the prior art in container ports, such as inconsistent classification of container truck parking and incorrect calculation path of container truck parking demand, the main purpose of the present invention is to provide a method for calculating classification demand of container truck parking in container port planning based on the container truck operation process. The method starts with the analysis of the container truck operation process at the container port, finds the link where the container truck parking demand is generated at the source, and finds out the parking characteristics of each link according to the operation characteristics of different links, and then finds out a method for calculating the parking demand.

[0009] In order to achieve the above object, the solution of the present invention is: A method for calculating the classification demand of container truck parking for container port planning based on the container truck operation process includes: S11. Obtain vehicle entry and exit record data of an existing terminal, vehicle entry and exit record data of an existing empty container yard outside the port, entry and exit record data of an existing truck parking lot, GPS sample data of existing trucks in the port, and input the parameter processing module for data processing to obtain the required parameters; the specific steps include: S11-1. Obtain vehicle entry and exit record data of a certain terminal, input the terminal road transport parameter processing module, and obtain three groups of parameters. Parameter group 1 includes road transport sharing ratio, monthly imbalance coefficient, daily imbalance coefficient, number of boxes per vehicle, empty driving rate of vehicles entering and leaving the terminal, imbalance coefficient of transportation direction, peak hour coefficient, parameter group 2 includes assembly ratio, parameter group 3 includes the average number of single vehicle entry and exit times per day; S11-2 obtain an existing port empty container yard vehicle in and out of record data, input port empty container yard road transport parameter processing module to obtain parameter group 4, parameter group 4 includes road transport share ratio, monthly imbalance coefficient, daily imbalance coefficient, single vehicle number of containers, in and out of the yard vehicle empty rate, transport direction imbalance coefficient, peak hour coefficient, container vehicle in the proportion of ship vehicles; S11-3 obtain an existing truck parking lot in and out of the record data, input truck parking lot daytime operation parameter processing module to obtain parameter group 5, parameter group 5 includes parking lot daytime parking turnover rate; S11-4. Obtain GPS sample data of existing container trucks in the port, and input the container truck night parking characteristic parameter processing module to obtain parameter group 6, which includes the maximum parking vehicle ratio at night.

[0010] S12. Input the operation results of stage S11 into the terminal parking demand calculation module and the port empty container yard parking demand calculation module to obtain the planned terminal parking berth scale, the planned port empty container yard parking berth scale and the data required for the operation of stages S13 and S14; the specific steps include: S12-1. Input the parameter group 1 of the S11 stage and the annual container throughput of each planned terminal in the port, the number of operating days of the terminal throughout the year, the average hourly operation volume of the yard bridge in the terminal, the number of yard bridge operation lines, and the number of container truck parking spaces waiting for operation in the yard into the terminal parking demand calculation module to obtain the scale of parking spaces for the planned terminal and the number of empty vehicles leaving the planned terminal in one direction on the peak day required for the operation of the S13 stage, and the number of vehicles entering and leaving the planned terminal in two directions on the peak day required for the operation of the S14 stage; S12-2. Input parameter group 4 of stage S11 and the annual container throughput and annual operation days of each planned off-port empty container yard in the port into the off-port empty container yard parking demand calculation module to obtain the scale of planned off-port empty container yard parking spaces and the number of one-way empty vehicle departures from the planned off-port empty container yard on peak days required for the operation of stage S13.

[0011] S13. Input the operation results of S11 and S12 into the public parking demand calculation module for the daytime operation phase to obtain the planned scale of public parking spaces for the daytime operation phase in Hong Kong; the specific steps include: Input parameter group 2 and parameter group 5 of stage S11 and the planned number of empty vehicles departing in one direction at the peak day of the terminal and the planned number of empty vehicles departing in one direction at the empty container yard outside the port on the peak day into the public parking demand calculation module during daytime operation to obtain the planned scale of public parking spaces for the entire port during daytime operation.

[0012] S14. Input the operation results of S11, S12 and S13 into the public parking demand calculation module for the night rest period to obtain the planned scale of public parking spaces for the night rest period in Hong Kong; the specific steps include: Input parameter group 3 and parameter group 6 of stage S11, the planned two-way inbound and outbound vehicles on peak days of the terminal in stage S12, and the planned scale of public parking spaces for the daytime operation phase of the entire port in stage S13 into the public parking demand calculation module for the night rest phase to obtain the planned scale of public parking spaces for the night rest phase of the entire port.

[0013] S15. Input the operation results of S12, S13 and S14, the original planned parking space scale values ​​of each terminal and each empty container yard outside the port, and the original planned daytime and nighttime public parking space scale values ​​of the port into the B / S architecture parking gap warning module, and output the warning results; the specific steps include: S15-1. When the original planned parking space scale of the planned terminal is smaller than the planned parking space scale of the terminal in stage S12, the terminal operator will be warned and informed of the scale of berths to be supplemented, and the competent department will be notified at the same time to facilitate supervision; S15-2. When the original planned parking space scale of the planned off-port empty container yard is less than the planned parking space scale of the off-port empty container yard in stage S12, the operator of the off-port empty container yard will be warned and informed of the scale of berths that need to be supplemented, and the competent department will be informed at the same time to facilitate supervision; S15-3. If the original planned scale of daytime public parking spaces in Hong Kong is less than the planned scale of daytime public parking spaces in Hong Kong in the S13 stage, the competent authorities will be warned and informed of the scale of parking spaces that need to be supplemented; S15-4. When the original planned scale of nighttime public parking spaces in Hong Kong is smaller than the planned scale of nighttime public parking spaces in Hong Kong in the S14 stage, the competent authorities will be warned and informed of the scale of parking spaces that need to be supplemented.

[0014] The specific calculation process S11.1 of the parameter processing module is: Obtain vehicle entry and exit record data of a certain terminal in the past year, clean the data, remove abnormal data, and obtain data set 1; By identifying the license plate information in dataset 1 and filtering it, the internal container truck data of the terminal is eliminated, and dataset 2 containing only the entry and exit records of social vehicles is obtained; Extract the vehicle information of each entry / exit in data set 2 and define it as follows: entry / exit time, number of boxes , operation behavior, whether to assemble , Cargo box situation , vehicle license plate, number of samples in dataset 2 , is the sample number, and its value range is , get data set 3; According to Dataset 3, the annual road transport container throughput is calculated by entry / exit time and number of containers. According to data set 3, the annual container throughput of the terminal is calculated by the entry / exit time and the number of containers. ; Calculate the road transport share of the terminal , superscript It means pier; According to data set 3, the monthly container throughput is obtained by counting the entry / exit time and the number of containers. , calculate the annual maximum monthly container throughput , the month with the highest monthly container throughput of the year , Average monthly container throughput throughout the year , is the month, the value range is ; Calculate the monthly imbalance coefficient of the terminal ; According to data set 3, filter All the data of the month are obtained as data set 4, record The number of days in the month is ; According to data set 4, the daily container throughput is obtained by counting the entry / exit time and the number of containers , calculate the maximum daily container volume for the whole month , Average daily container throughput for the whole month , is the day, the value range is ; Calculate the daily imbalance coefficient of the terminal ; According to data set 4, all daily train trips are counted according to entry / exit time. ; Calculate the number of containers per vehicle at the terminal ; According to data set 4, the number of empty trucks per day is calculated based on the entry / exit time and the loading status. ; Calculate the empty driving rate of vehicles entering and leaving the terminal ; According to data set 4, the number of entries and exits per day for each vehicle is calculated based on the vehicle license plate and entry / exit time. , Total number of vehicles entering / exiting per day ; Calculate the average daily number of vehicles entering and leaving the terminal ; According to data set 4, the total number of vehicles entering / exiting each hour per day is counted according to the entry / exit time. , is the hour, the value range is ; Through Processing gets daily peak hours , take the largest value as the peak hour of the terminal ; According to Dataset 4, the total number of vehicles entering the terminal during the daily peak hour is counted according to the operation behavior and entry / exit time. , Total number of vehicles leaving the terminal ;if , calculate the unbalanced coefficient of the transport direction of the terminal ,otherwise ; According to data set 4, the daily peak hour throughput is counted by entry / exit time ; Calculate the peak hour coefficient of the terminal ; According to data set 4, the number of daily consolidated heavy containers is counted according to whether they are consolidated and the container loading conditions. 、Daily number of heavy boxes ; Calculate the assembly ratio .

[0015] Preferably, the specific calculation process S11.2 of the parameter processing module is: Obtain vehicle entry and exit record data of an existing empty container yard outside a port for the past year, clean the data, remove abnormal data, and obtain data set 5; Extract the vehicle information of each entry / exit in data set 5 and define it as follows: entry / exit time, number of boxes , operation behavior, whether to receive the ship vehicle , Cargo box situation , vehicle license plate, number of samples in dataset 5 , is the sample number, and its value range is , get data set 6; According to Dataset 6, the annual road transport container throughput is calculated by entry / exit time and number of containers. According to data set 6, the annual container throughput of the empty container yard is calculated by year according to the entry / exit time and the number of loaded containers. ; Calculate the road transport share ratio of the empty container yard , superscript Indicates empty container yard; According to data set 6, the monthly container throughput is obtained by counting the entry / exit time and the number of containers. , calculate the annual maximum monthly container throughput , the month with the highest monthly container throughput of the year , Average monthly container throughput throughout the year , is the month, the value range is ; Calculate the monthly imbalance coefficient of the empty container yard ; According to data set 6, filter All the data of the month are obtained as data set 7, record The number of days in the month is ; According to data set 7, the daily container throughput is obtained by counting the entry / exit time and the number of containers , calculate the maximum daily container volume for the whole month , Average daily container throughput for the whole month , is the day, the value range is ; Calculate the daily imbalance coefficient of the empty container yard ; According to data set 7, all daily train trips are counted according to entry / exit time. ; Calculate the number of containers per vehicle in the empty container yard ; According to data set 7, the number of empty trucks per day is calculated based on the entry / exit time and the loading status. ; Calculate the empty driving rate of vehicles entering and leaving the yard ; According to data set 7, the total number of vehicles entering / exiting each hour per day is counted according to the entry / exit time. ; Through Processing gets daily peak hours , take the largest value as the peak hour of the yard ; According to Dataset 7, the total number of vehicles entering the yard during the daily peak hour is counted according to the operation behavior and entry / exit time. 、Total number of vehicles leaving the yard ;if , calculate the transport direction imbalance coefficient of the empty container yard ,otherwise ; According to data set 7, the daily peak hour throughput is counted by entry / exit time ; Calculate the peak hour coefficient of the empty container yard ; According to data set 7, the number of daily pick-up vehicles is counted according to the entry / exit time and whether the vehicle is a pick-up vehicle. , Total number of vehicles entering / exiting per day ; Calculate the proportion of ship-receiving vehicles among container-carrying vehicles .

[0016] Preferably, the specific calculation process S11.3 of the parameter processing module is: Obtain the entry and exit record data of an existing truck parking lot, clean the data, delete invalid and missing data rows in the original data, extract data including license plate number and vehicle entry / exit time, and obtain data set 8; According to data set 8, the parking records are traversed and sorted by license plate number according to vehicle entry / exit time to obtain data set 9; According to data set 9, compare the entry time and exit time of two adjacent records, calculate the time difference between the two records, and get the parking time of each vehicle. , is the vehicle serial number, and the data set 10 is obtained; According to data set 10, the parking records with parking time between 06:00 and 24:00 during the day are screened to obtain data set 11; According to data set 11, calculate the average parking time for each vehicle during daytime parking. ; Calculate the parking lot daytime parking space turnover rate .

[0017] Preferably, the specific calculation process S11.4 of the parameter processing module is: Obtain GPS sample data of existing trucks in Hong Kong, clean the data, delete invalid and missing data rows in the original data, and calculate the number of valid vehicle samples. , extracting data including license plate number, vehicle color, data receiving time, longitude and latitude, direction, direction angle, and system time, and obtaining data set 12; According to data set 12, according to the GPS records of the same vehicle, if the difference in longitude and latitude of the continuous system time does not exceed the error range, it is considered as a continuous stop in one place, and the stay time exceeds 5 minutes as one parking for the sample, the start time and end time of each parking of each vehicle are obtained, and the parking start time is sorted to obtain data set 13; According to data set 13, the number of parked vehicles at the initial time is set to 0. When a vehicle starts to park, the number of parked vehicles at that time is increased by 1. When a vehicle stops parking, the number of parked vehicles at that time is reduced by 1. The number of parked vehicles at each time of the day is counted to obtain data set 14. According to data set 14, the number of parked vehicles at the time when the maximum number of parked vehicles is ; Calculate the maximum parking ratio for night rest .

[0018] The specific calculation formula of the parking demand calculation module for the terminal is: ; in, The scale of parking spaces built for the terminal is is the annual container throughput of the terminal, is the road transport share of the terminal, is the monthly imbalance coefficient of the terminal, is the daily imbalance coefficient of the terminal, is the transport direction imbalance coefficient of the terminal, is the peak hour coefficient of the terminal, The number of days the terminal is in operation throughout the year. is the number of containers per vehicle at the terminal, is the empty driving rate of vehicles entering and leaving the terminal, is the average hourly operation volume of the terminal bridge, is the number of terminal bridge operation lines, It is the number of container truck spaces waiting for operation in the terminal yard.

[0019] The specific calculation formula of the parking demand calculation module for the empty container yard outside the port is: ; in, The scale of parking spaces to be built for the empty container yard outside the port, is the annual container throughput of the empty container yard outside the port, is the road transport share of the empty container yard, is the monthly imbalance coefficient of the empty container yard outside the port, is the daily imbalance coefficient of the empty container yard outside the port, is the transport direction imbalance coefficient of the empty container yard outside the port, is the peak hour coefficient of the empty container yard outside the port, is the proportion of container vehicles to ship-receiving vehicles, is the number of operating days of the empty container yard outside the port throughout the year, is the number of containers loaded on a single vehicle at the empty container yard outside the port, It is the empty driving rate of vehicles entering and leaving the yard.

[0020] The specific calculation formula of the public parking demand calculation module in the daytime operation phase is: ; in, The scale of public parking spaces in Hong Kong during daytime operation. This is the number of empty vehicles leaving the terminal in one direction on peak days. This is the number of empty trucks departing from the empty container yard outside the port in one direction on peak days. For the assembly ratio, It is the parking space turnover rate during the day.

[0021] The specific calculation formula of the public parking demand calculation module in the night rest phase is: ; in, The scale of public parking spaces for nighttime rest in Hong Kong. This is the number of vehicles entering and leaving the terminal in both directions on peak days. For night rest, the maximum parking ratio is It is the average number of bicycles entering and leaving the port per day.

[0022] After adopting the above technical solution, the present invention has the following technical effects: The present invention classifies and calculates parking requirements for container truck planning in container ports based on the container truck operation process. The calculation process is closer to the actual situation, avoids the errors of crude estimation in traditional methods, and the calculation results are more accurate. The calculation results of the present invention are used to warn objects with missing parking berths in container ports and inform parking berths that need to be supplemented, and the invention is generalizable. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 The present invention is a flow chart of empty container and full container flow in a container port according to the prior art.

[0024] Figure 2 The present invention is a flow chart of container port truck operation in the prior art.

[0025] Figure 3 The following is a rough flow chart of a specific embodiment of the present invention.

[0026] Figure 4 It is a detailed flow chart of a specific embodiment of the present invention.

[0027] Figure 5 It is a module schematic diagram of a specific embodiment of the present invention.

[0028] Figure 6 This is an operation flow chart of a parking demand calculation module for a terminal according to a specific embodiment of the present invention.

[0029] Figure 7 This is an operation flow chart of a parking demand calculation module for an empty container yard outside a port according to a specific embodiment of the present invention.

[0030] Figure 8 This is an operation flow chart of the public parking demand calculation module in the daytime operation phase according to a specific embodiment of the present invention.

[0031] Fig. 9 This is a flowchart of the operation of the public parking demand calculation module for the night rest phase in a specific embodiment of the present invention. DETAILED DESCRIPTION

[0032] In order to further explain the technical solution of the present invention, the present invention is described in detail below through specific embodiments.

[0033] refer to Figure 1As shown in the figure, the empty and full container flow processes of container ports are slightly different. Taking Xiamen Port as an example, Xiamen Port's empty container throughput in 2020 was about 3.01 million TEUs and its full container throughput was about 8.06 million TEUs, with the empty container and full container throughput ratios of 27%:73%. In the composition of import and export container flows, 90% of empty containers need to be transferred to the empty container yard outside the port, only 10% go directly to the hinterland, 30% of full containers need to be transferred to the assembly center, and 70% are directly collected and distributed between the hinterland and the terminal.

[0034] The circulation of empty and loaded containers mentioned above must be realized by means of container trucks. Figure 1 After adding the operation process of container trucks to the flow chart, it is found that the operation process of container trucks for FCL and LCL is different. Figure 2 As shown in a and 2b, full container transportation business, including empty container import and export transportation and heavy container transportation between the hinterland and the terminal, is carried out by social container trucks. There is a waiting period between placing and placing orders, so social public parking lots are required. Figure 2 As shown in c and 2d, the consolidation business in the heavy container transportation is entirely carried out by the hinterland cargo owner's own vehicles or the consolidation center's own vehicles. The parking needs generated during the transportation process can be solved within the consolidation center and the terminal, without the need to use public parking lots.

[0035] No matter how busy a port is, it needs to rest at night. During the night rest phase, the operating intensity of the terminal and the yard is lower than that of the daytime, which will inevitably generate a higher parking demand than the daytime operation phase. The parking demand during the night rest phase is caused by the drivers resting at night and the vehicles stopping operations, and the parking time is longer. From the perspective of maximizing the use of parking resources, the night parking of container trucks should first consider making full use of the parking facilities in the daytime operation phase, and the shortfall should be made up by the competent department through the construction of additional night public parking lots. Because the intensity of night parking demand in each port is different, the wider the hinterland of the port, the busier the terminal, the higher the intensity of transportation tasks at night, and the corresponding night parking demand will be lower. Therefore, the night parking demand should be calculated in combination with the port operation characteristics.

[0036] Based on the above analysis, we can know that the parking demand of container ports is generated in three links: the short-term parking demand generated by vehicles entering the yard and checking and verifying documents before the terminal during the daytime operation belongs to the parking demand for supporting facilities, including the parking demand for supporting facilities at the terminal and the parking demand for supporting facilities at the yard; the parking demand generated by vehicles waiting for cargo sources during the daytime operation because the previous order has ended and the next order has not yet started belongs to the public parking demand; the parking demand generated during the night rest period because the driver rests and the vehicle stops working also belongs to the public parking demand. See the table below for details: Table 1. Container port parking demand table

[0037] Based on the parking demand classification and the reasons for each parking demand shown in the above table, the present invention proposes a method for calculating the classification demand for container truck parking in container port planning based on the container truck operation process, which can improve the problem of insufficient precision in the calculation of container truck parking demand. It has urgent practical significance for solving the parking difficulties of container trucks in various container ports, and can provide more accurate reference and reference for the container truck parking planning in port cities. The calculation results of the present invention are used to warn objects that are missing parking berths in container ports and inform them of the parking berths that need to be supplemented, which has the necessity and urgency of promotion. Specifically, with reference to Figure 3-5 As shown, the present invention includes: S11. Obtain vehicle entry and exit record data of a certain terminal, vehicle entry and exit record data of an existing empty container yard outside a port, entry and exit record data of an existing truck parking lot, and GPS sample data of existing trucks in the entire port, and input the data into the parameter processing module 110 for data processing to obtain the required parameters; among them, "a certain terminal", "an empty container yard outside a port", and "a truck parking lot" can select relatively representative existing scenes as data sources according to needs to ensure the rationality of the final calculation results; the specific steps include: S11-1. Obtain vehicle entry and exit record data of a certain terminal, input the terminal road transport parameter processing module, and obtain three groups of parameters. Parameter group 1 includes road transport sharing ratio, monthly imbalance coefficient, daily imbalance coefficient, number of boxes per vehicle, empty driving rate of vehicles entering and leaving the terminal, imbalance coefficient of transportation direction, peak hour coefficient, parameter group 2 includes assembly ratio, parameter group 3 includes the average number of single vehicle entry and exit times per day; S11-2 obtain an existing port empty container yard vehicle in and out of record data, input port empty container yard road transport parameter processing module to obtain parameter group 4, parameter group 4 includes road transport share ratio, monthly imbalance coefficient, daily imbalance coefficient, single vehicle number of containers, in and out of the yard vehicle empty rate, transport direction imbalance coefficient, peak hour coefficient, container vehicle in the proportion of ship vehicles; S11-3 obtain an existing truck parking lot in and out of the record data, input truck parking lot daytime operation parameter processing module to obtain parameter group 5, parameter group 5 includes parking lot daytime parking turnover rate; S11-4. Obtain GPS sample data of existing container trucks in the port, and input the container truck night parking characteristic parameter processing module to obtain parameter group 6, which includes the maximum parking vehicle ratio at night.

[0038] S12. Input the operation results of stage S11 into the terminal parking demand calculation module 120 and the port empty container yard parking demand calculation module 130 to obtain the planned terminal parking berth scale, the planned port empty container yard parking berth scale and the data required for the operation of stages S13 and S14; the specific steps include: S12-1. Input the parameter group 1 of the S11 stage and the annual container throughput of each terminal planned in the port, the number of operating days of the terminal throughout the year, the average hourly operation volume of the yard bridge in the terminal, the number of yard bridge operation lines, and the number of container truck parking spaces to be operated in the yard into the terminal parking demand calculation module 120, and obtain the scale of the planned terminal parking berths and the number of one-way empty vehicle departures on the planned terminal peak day required for the operation of the S13 stage, and the number of two-way in and out vehicles on the planned terminal peak day required for the operation of the S14 stage; S12-2. Input parameter group 4 of stage S11 and the annual container throughput and annual operation days of each planned off-port empty container yard in the port into the off-port empty container yard parking demand calculation module 130 to obtain the scale of the planned off-port empty container yard parking berths and the number of one-way empty vehicle departures from the planned off-port empty container yard on peak days required for the operation of stage S13.

[0039] S13. The operation results of the S11 and S12 stages are input into the public parking demand calculation module 140 for the daytime operation to obtain the scale of the public parking spaces for the daytime operation of the whole Hong Kong; the specific steps include: Parameter group 2 and parameter group 5 of stage S11 and the planned number of empty vehicles departing one-way from the terminal on peak days and the planned number of empty vehicles departing one-way from the empty container yard outside the port on peak days are input into the public parking demand calculation module 140 for the daytime operation phase to obtain the planned scale of public parking spaces for the daytime operation phase of the entire port.

[0040] S14. The operation results of the S11, S12 and S13 stages are input into the nighttime rest phase public parking demand calculation module 150 to obtain the planned scale of public parking spaces for the nighttime rest phase of the whole Hong Kong; the specific steps include: Parameter group 3 and parameter group 6 of stage S11, the planned two-way inbound and outbound vehicles on the peak day of the terminal in stage S12, and the planned scale of public parking spaces for the daytime operation phase of the entire port in stage S13 are input into the public parking demand calculation module 150 for the nighttime rest phase to obtain the planned scale of public parking spaces for the nighttime rest phase of the entire port.

[0041] S15. Input the operation results of S12, S13 and S14, the original planned parking space scale values ​​of each terminal and each empty container yard outside the port, and the original planned daytime and nighttime public parking space scale values ​​of the port into the B / S architecture parking gap warning module 160, and output the warning results; the specific steps include: S15-1. When the original planned parking space scale of the planned terminal is smaller than the planned parking space scale of the terminal in stage S12, the terminal operator will be warned and informed of the scale of berths to be supplemented, and the competent department will be notified at the same time to facilitate supervision; S15-2. When the original planned parking space scale of the planned off-port empty container yard is less than the planned parking space scale of the off-port empty container yard in stage S12, the operator of the off-port empty container yard will be warned and informed of the scale of berths that need to be supplemented, and the competent department will be informed at the same time to facilitate supervision; S15-3. If the original planned scale of daytime public parking spaces in Hong Kong is less than the planned scale of daytime public parking spaces in Hong Kong in the S13 stage, the competent authorities will be warned and informed of the scale of parking spaces that need to be supplemented; S15-4. When the original planned scale of nighttime public parking spaces in Hong Kong is smaller than the planned scale of nighttime public parking spaces in Hong Kong in the S14 stage, the competent authorities will be warned and informed of the scale of parking spaces that need to be supplemented.

[0042] Through the above scheme, the present invention classifies and calculates the parking demand of container trucks in container ports based on the container truck operation process. The calculation process is closer to the actual situation, avoiding the errors of rough estimation in traditional methods, and the calculation results are more accurate. The calculation results of the present invention are used to warn objects with missing parking berths in container ports and inform parking berths that need to be supplemented, which is generalizable.

[0043] Specific embodiments of the present invention are shown below.

[0044] The specific calculation process S11.1 of the parameter processing module 110 is as follows: Obtain vehicle entry and exit record data of a certain terminal in the past year, clean the data, remove abnormal data, and obtain data set 1; By identifying the license plate information in dataset 1 and filtering it, the internal container truck data of the terminal is eliminated, and dataset 2 containing only the entry and exit records of social vehicles is obtained; Extract the vehicle information of each entry / exit in data set 2 and define it as follows: entry / exit time, number of boxes , operation behavior, whether to assemble , Cargo box situation , vehicle license plate, number of samples in dataset 2 , is the sample number, and its value range is , get data set 3; According to Dataset 3, the annual road transport container throughput is calculated by entry / exit time and number of containers. According to data set 3, the annual container throughput of the terminal is calculated by the entry / exit time and the number of containers. ; Calculate the road transport share of the terminal , superscript It means pier; According to data set 3, the monthly container throughput is obtained by counting the entry / exit time and the number of containers. , calculate the annual maximum monthly container throughput , the month with the highest monthly container throughput of the year , Average monthly container throughput throughout the year , is the month, the value range is ; Calculate the monthly imbalance coefficient of the terminal ; According to data set 3, filter All the data of the month are obtained as data set 4, record The number of days in the month is ; According to data set 4, the daily container throughput is obtained by counting the entry / exit time and the number of containers , calculate the maximum daily container volume for the whole month , Average daily container throughput for the whole month , is the day, the value range is ; Calculate the daily imbalance coefficient of the terminal ; According to data set 4, all daily train trips are counted according to entry / exit time. ; Calculate the number of containers per vehicle at the terminal ; According to data set 4, the number of empty trucks per day is calculated based on the entry / exit time and the loading status. ; Calculate the empty driving rate of vehicles entering and leaving the terminal ; According to data set 4, the number of entries and exits per day for each vehicle is calculated based on the vehicle license plate and entry / exit time. , Total number of vehicles entering / exiting per day ; Calculate the average daily number of vehicles entering and leaving the terminal ; According to data set 4, the total number of vehicles entering / exiting each hour per day is counted according to the entry / exit time. , is the hour, the value range is ; Through Processing gets daily peak hours , take the largest value as the peak hour of the terminal ; According to Dataset 4, the total number of vehicles entering the terminal during the daily peak hour is counted according to the operation behavior and entry / exit time. , Total number of vehicles leaving the terminal ;if , calculate the unbalanced coefficient of the transport direction of the terminal ,otherwise ; According to data set 4, the daily peak hour throughput is counted by entry / exit time ; Calculate the peak hour coefficient of the terminal ; According to data set 4, the number of daily consolidated heavy containers is counted according to whether they are consolidated and the container loading conditions. 、Daily number of heavy boxes ; Calculate the assembly ratio .

[0045] The specific calculation process S11.2 of the parameter processing module 110 is as follows: Obtain vehicle entry and exit record data of an existing empty container yard outside a port for the past year, clean the data, remove abnormal data, and obtain data set 5; Extract the vehicle information of each entry / exit in data set 5 and define it as follows: entry / exit time, number of boxes , operation behavior, whether to receive the ship vehicle , Cargo box situation , vehicle license plate, number of samples in dataset 5 , is the sample number, and its value range is , get data set 6; According to Dataset 6, the annual road transport container throughput is calculated by entry / exit time and number of containers. According to data set 6, the annual container throughput of the empty container yard is calculated by year according to the entry / exit time and the number of loaded containers. ; Calculate the road transport share ratio of the empty container yard , superscript Indicates empty container yard; According to data set 6, the monthly container throughput is obtained by counting the entry / exit time and the number of containers. , calculate the annual maximum monthly container throughput , the month with the highest monthly container throughput of the year , Average monthly container throughput throughout the year , is the month, the value range is ; Calculate the monthly imbalance coefficient of the empty container yard ; According to data set 6, filter All the data of the month are obtained as data set 7, record The number of days in the month is ; According to data set 7, the daily container throughput is obtained by counting the entry / exit time and the number of containers , calculate the maximum daily container volume for the whole month , Average daily container throughput for the whole month , is the day, the value range is ; Calculate the daily imbalance coefficient of the empty container yard ; According to data set 7, all daily train trips are counted according to entry / exit time. ; Calculate the number of containers per vehicle in the empty container yard ; According to data set 7, the number of empty trucks per day is calculated based on the entry / exit time and the loading status. ; Calculate the empty driving rate of vehicles entering and leaving the yard ; According to data set 7, the total number of vehicles entering / exiting each hour per day is counted according to the entry / exit time. ; Through Processing gets daily peak hours , take the largest value as the peak hour of the yard ; According to Dataset 7, the total number of vehicles entering the yard during the daily peak hour is counted according to the operation behavior and entry / exit time. 、Total number of vehicles leaving the yard ;if , calculate the transport direction imbalance coefficient of the empty container yard ,otherwise ; According to data set 7, the daily peak hour throughput is counted by entry / exit time ; Calculate the peak hour coefficient of the empty container yard ; According to data set 7, the number of daily pick-up vehicles is counted according to the entry / exit time and whether the vehicle is a pick-up vehicle. , Total number of vehicles entering / exiting per day ; Calculate the proportion of ship-receiving vehicles among container-carrying vehicles .

[0046] The specific calculation process S11.3 of the parameter processing module 110 is as follows: Obtain the entry and exit record data of an existing truck parking lot, clean the data, delete invalid and missing data rows in the original data, extract data including license plate number and vehicle entry / exit time, and obtain data set 8; According to data set 8, the parking records are traversed and sorted by license plate number according to vehicle entry / exit time to obtain data set 9; According to data set 9, compare the entry time and exit time of two adjacent records, calculate the time difference between the two records, and get the parking time of each vehicle. , is the vehicle serial number, and the data set 10 is obtained; According to data set 10, the parking records with parking time between 06:00 and 24:00 during the day are screened to obtain data set 11; According to data set 11, calculate the average parking time for each vehicle during daytime parking. ; Calculate the parking lot daytime parking space turnover rate (i.e. parking lot daytime parking space turnover rate The length of time the parking lot is in operation during the day (18 hours) and the average parking time ratio).

[0047] The specific calculation process S11.4 of the parameter processing module 110 is as follows: Obtain GPS sample data of existing trucks in Hong Kong, clean the data, delete invalid and missing data rows in the original data, and calculate the number of valid vehicle samples. , extracting data including license plate number, vehicle color, data receiving time, longitude and latitude, direction, direction angle, and system time, and obtaining data set 12; According to data set 12, according to the GPS records of the same vehicle, if the difference in longitude and latitude of the continuous system time does not exceed the error range, it is considered as a continuous stop in one place, and the stay time exceeds 5 minutes as one parking for the sample, the start time and end time of each parking of each vehicle are obtained, and the parking start time is sorted to obtain data set 13; According to data set 13, the number of parked vehicles at the initial time is set to 0. When a vehicle starts to park, the number of parked vehicles at that time is increased by 1. When a vehicle stops parking, the number of parked vehicles at that time is reduced by 1. The number of parked vehicles at each time of the day is counted to obtain data set 14. According to data set 14, the number of parked vehicles at the time when the maximum number of parked vehicles is ; Calculate the maximum parking ratio for night rest .

[0048] See also Figure 6 The specific calculation formula of the above-mentioned terminal parking demand calculation module 120 is: ; in, The scale of parking spaces built for the terminal is is the annual container throughput of the terminal, is the road transport share of the terminal, is the monthly imbalance coefficient of the terminal, is the daily imbalance coefficient of the terminal, is the transport direction imbalance coefficient of the terminal, is the peak hour coefficient of the terminal, The number of days the terminal is in operation throughout the year. is the number of containers per vehicle at the terminal, is the empty driving rate of vehicles entering and leaving the terminal, is the average hourly operation volume of the terminal bridge, is the number of terminal bridge operation lines, It is the number of container truck spaces waiting for operation in the terminal yard.

[0049] See also Figure 7 The specific calculation formula of the above-mentioned off-port empty container yard parking demand calculation module 130 is: ; in, The scale of parking spaces to be built for the empty container yard outside the port, is the annual container throughput of the empty container yard outside the port, is the road transport share of the empty container yard, is the monthly imbalance coefficient of the empty container yard outside the port, is the daily imbalance coefficient of the empty container yard outside the port, is the transport direction imbalance coefficient of the empty container yard outside the port, is the peak hour coefficient of the empty container yard outside the port, is the proportion of container vehicles to ship-receiving vehicles, is the number of operating days of the empty container yard outside the port throughout the year, is the number of containers loaded on a single vehicle at the empty container yard outside the port, It is the empty driving rate of vehicles entering and leaving the yard.

[0050] See also Figure 8 The specific calculation formula of the public parking demand calculation module 140 in the daytime operation phase is: ; in, The scale of public parking spaces in Hong Kong during daytime operation. This is the number of empty vehicles leaving the terminal in one direction on peak days. This is the number of empty trucks departing from the empty container yard outside the port in one direction on peak days. For the assembly ratio, It is the parking space turnover rate during the day.

[0051] See also Fig. 9 The specific calculation formula of the public parking demand calculation module 150 during the night rest period is: ; in, The scale of public parking spaces for nighttime rest in Hong Kong. This is the number of vehicles entering and leaving the terminal in both directions on peak days. For night rest, the maximum parking ratio is It is the average number of bicycles entering and leaving the port per day.

[0052] The above embodiments and drawings do not limit the product form and style of the present invention. Any appropriate changes or modifications made by ordinary technicians in the relevant technical field should be deemed to be within the patent scope of the present invention.

Claims

1. A method for calculating the classification demand of container truck parking in container port planning based on the container truck operation process, characterized in that include: S11. Obtain vehicle entry and exit record data of an existing terminal, vehicle entry and exit record data of an existing empty container yard outside the port, entry and exit record data of an existing truck parking lot, GPS sample data of existing trucks in the port, and input the parameter processing module for data processing to obtain the required parameters; the specific steps include: S11-1. Obtain vehicle entry and exit record data of a certain terminal, input the terminal road transport parameter processing module, and obtain three groups of parameters. Parameter group 1 includes road transport sharing ratio, monthly imbalance coefficient, daily imbalance coefficient, number of boxes per vehicle, empty driving rate of vehicles entering and leaving the terminal, imbalance coefficient of transportation direction, peak hour coefficient, parameter group 2 includes assembly ratio, parameter group 3 includes the average number of single vehicle entry and exit times per day; S11-2 obtain an existing port empty container yard vehicle in and out of record data, input port empty container yard road transport parameter processing module to obtain parameter group 4, parameter group 4 includes road transport share ratio, monthly imbalance coefficient, daily imbalance coefficient, single vehicle number of containers, in and out of the yard vehicle empty rate, transport direction imbalance coefficient, peak hour coefficient, container vehicle in the proportion of ship vehicles; S11-3 obtain an existing truck parking lot in and out of the record data, input truck parking lot daytime operation parameter processing module to obtain parameter group 5, parameter group 5 includes parking lot daytime parking turnover rate; S11-4 obtain the existing port truck GPS sample data, input the truck night parking characteristic parameter processing module to obtain parameter group 6, parameter group 6 includes the maximum parking vehicle ratio at night rest; S12. Input the operation results of stage S11 into the terminal parking demand calculation module and the port empty container yard parking demand calculation module to obtain the planned terminal parking berth scale, the planned port empty container yard parking berth scale and the data required for the operation of stages S13 and S14; the specific steps include: S12-1. Input the parameter group 1 of the S11 stage and the annual container throughput of each planned terminal in the port, the number of operating days of the terminal throughout the year, the average hourly operation volume of the yard bridge in the terminal, the number of yard bridge operation lines, and the number of container truck parking spaces waiting for operation in the yard into the terminal parking demand calculation module to obtain the scale of parking spaces for the planned terminal and the number of empty vehicles leaving the planned terminal in one direction on the peak day required for the operation of the S13 stage, and the number of vehicles entering and leaving the planned terminal in two directions on the peak day required for the operation of the S14 stage; S12-2. Input parameter group 4 of the S11 stage and the annual container throughput and annual operation days of each planned off-port empty container yard in the port into the off-port empty container yard parking demand calculation module to obtain the scale of parking spaces planned for the off-port empty container yard and the number of empty vehicles leaving the planned off-port empty container yard in one direction on the peak day required for the operation of the S13 stage; S13. Input the operation results of S11 and S12 into the public parking demand calculation module for the daytime operation phase to obtain the planned scale of public parking spaces for the daytime operation phase in Hong Kong; the specific steps include: Input the number of empty vehicles departing from the terminal on peak days in one direction and the number of empty vehicles departing from the empty container yard outside the port on peak days in parameter group 2 and parameter group 5 of the S11 stage and the S12 stage into the public parking demand calculation module for the daytime operation phase, and obtain the planned scale of public parking spaces for the daytime operation phase of the whole port; S14. Input the operation results of S11, S12 and S13 into the public parking demand calculation module for the night rest period to obtain the planned scale of public parking spaces for the night rest period in Hong Kong; the specific steps include: Input parameter group 3 and parameter group 6 of stage S11, the planned two-way inbound and outbound vehicles on the peak day of the terminal in stage S12, and the planned scale of public parking spaces in the daytime operation phase of the whole port in stage S13 into the public parking demand calculation module of the night rest phase, and obtain the planned scale of public parking spaces in the night rest phase of the whole port; S15. Input the operation results of S12, S13 and S14, the original planned parking space scale values ​​of each terminal and each empty container yard outside the port, and the original planned daytime and nighttime public parking space scale values ​​of the port into the B / S architecture parking gap warning module, and output the warning results; the specific steps include: S15-1. When the original planned parking space scale of the planned terminal is smaller than the planned parking space scale of the terminal in stage S12, the terminal operator will be warned and informed of the scale of berths to be supplemented, and the competent department will be notified at the same time to facilitate supervision; S15-2. When the original planned parking space scale of the planned off-port empty container yard is less than the planned parking space scale of the off-port empty container yard in stage S12, the operator of the off-port empty container yard will be warned and informed of the scale of berths that need to be supplemented, and the competent department will be informed at the same time to facilitate supervision; S15-3. If the original planned scale of daytime public parking spaces in Hong Kong is less than the planned scale of daytime public parking spaces in Hong Kong in the S13 stage, the competent authorities will be warned and informed of the scale of parking spaces that need to be supplemented; S15-4. When the original planned scale of nighttime public parking spaces in Hong Kong is smaller than the planned scale of nighttime public parking spaces in Hong Kong in the S14 stage, the competent authorities will be warned and informed of the scale of parking spaces that need to be supplemented.

2. The method for calculating the parking requirements for container trucks in container port planning based on the container truck operation process according to claim 1 is characterized in that The specific calculation process S11.1 of the parameter processing module is: Obtain vehicle entry and exit record data of a certain terminal in the past year, clean the data, remove abnormal data, and obtain data set 1; By identifying the license plate information in dataset 1 and filtering it, the internal container truck data of the terminal is eliminated, and dataset 2 containing only the entry and exit records of social vehicles is obtained; Extract the vehicle information of each entry / exit in data set 2 and define it as follows: entry / exit time, number of boxes , operation behavior, whether to assemble , Cargo box situation , vehicle license plate, number of samples in dataset 2 , is the sample number, and its value range is , get data set 3; According to Dataset 3, the annual road transport container throughput is calculated by entry / exit time and number of containers. ; According to Dataset 3, the annual container throughput of the terminal is calculated by year according to the entry / exit time and the number of containers. ; Calculate the road transport share of the terminal , superscript It means pier; According to data set 3, the monthly container throughput is obtained by counting the entry / exit time and the number of containers. , calculate the annual maximum monthly container throughput , the month with the highest monthly container throughput of the year , Average monthly container throughput throughout the year , is the month, the value range is ; Calculate the monthly imbalance coefficient of the terminal ; According to data set 3, filter All the data of the month are obtained as data set 4, record The number of days in the month is ; According to data set 4, the daily container throughput is obtained by counting the entry / exit time and the number of containers. , calculate the maximum daily container volume for the whole month , Average daily container throughput for the whole month , is the day, the value range is ; Calculate the daily imbalance coefficient of the terminal ; According to data set 4, all daily train trips are counted according to entry / exit time. ; Calculate the number of containers per vehicle at the terminal ; According to data set 4, the number of empty trucks per day is calculated based on the entry / exit time and the loading status. ; Calculate the empty driving rate of vehicles entering and leaving the terminal ; According to data set 4, the number of entries and exits per day for each vehicle is calculated based on the vehicle license plate and entry / exit time. , Total number of vehicles entering / exiting per day ; Calculate the average daily number of vehicles entering and leaving the terminal ; According to data set 4, the total number of vehicles entering / exiting each hour per day is counted according to the entry / exit time. , is the hour, the value range is ; Through Processing gets daily peak hours , take the largest value as the peak hour of the terminal ; According to Dataset 4, the total number of vehicles entering the terminal during the daily peak hour is counted according to the operation behavior and entry / exit time. , Total number of vehicles leaving the terminal ;if , calculate the unbalanced coefficient of the transport direction of the terminal ,otherwise ; According to data set 4, the daily peak hour throughput is counted by entry / exit time ; Calculate the peak hour coefficient of the terminal ; According to data set 4, the number of daily consolidated heavy containers is counted according to whether they are consolidated and the container loading conditions. 、Daily number of heavy boxes ; Calculate the assembly ratio .

3. The method for calculating the classification demand for container truck parking in container port planning based on the container truck operation process according to claim 2 is characterized in that The specific calculation process S11.2 of the parameter processing module is: Obtain vehicle entry and exit record data of an existing empty container yard outside a port for the past year, clean the data, remove abnormal data, and obtain data set 5; Extract the vehicle information of each entry / exit in data set 5 and define it as follows: entry / exit time, number of boxes , operation behavior, whether to receive the ship vehicle , Cargo box situation , vehicle license plate, number of samples in data set 5 , is the sample number, and its value range is , get data set 6; According to Dataset 6, the annual road transport container throughput is calculated by entry / exit time and number of containers. ; According to Dataset 6, the annual container throughput of the empty container yard is calculated by year according to the entry / exit time and the number of loaded containers. ; Calculate the road transport share of the empty container yard , superscript Indicates empty container yard; According to data set 6, the monthly container throughput is obtained by counting the entry / exit time and the number of containers. , calculate the annual maximum monthly container throughput , the month with the highest monthly container throughput of the year , Average monthly container throughput throughout the year , is the month, the value range is ; Calculate the monthly imbalance coefficient of the empty container yard ; According to data set 6, filter All the data of the month are obtained as data set 7, record The number of days in the month is ; According to data set 7, the daily container throughput is obtained by counting the entry / exit time and the number of containers , calculate the maximum daily container volume for the whole month , Average daily container throughput for the whole month , is the day, the value range is ; Calculate the daily imbalance coefficient of the empty container yard ; According to data set 7, all daily train trips are counted according to entry / exit time. ; Calculate the number of containers per vehicle in the empty container yard ; According to data set 7, the number of empty trucks per day is calculated based on the entry / exit time and the loading status. ; Calculate the empty driving rate of vehicles entering and leaving the yard ; According to data set 7, the total number of vehicles entering / exiting each hour per day is counted according to the entry / exit time. ; Through Processing gets daily peak hours , take the largest value as the peak hour of the yard ; According to Dataset 7, the total number of vehicles entering the yard during the daily peak hour is counted according to the operation behavior and entry / exit time. 、Total number of vehicles leaving the yard ;if , calculate the transport direction imbalance coefficient of the empty container yard ,otherwise ; According to data set 7, the daily peak hour throughput is counted by entry / exit time ; Calculate the peak hour factor of the empty container yard ; According to data set 7, the number of daily pick-up vehicles is counted according to the entry / exit time and whether the vehicle is a pick-up vehicle. , Total number of vehicles entering / exiting per day ; Calculate the proportion of ship-receiving vehicles among container-carrying vehicles .

4. The method for calculating the parking requirements for container trucks in container port planning based on the container truck operation process according to claim 3 is characterized in that The specific calculation process S11.3 of the parameter processing module is: Obtain the entry and exit record data of an existing truck parking lot, clean the data, delete invalid and missing data rows in the original data, extract data including license plate number and vehicle entry / exit time, and obtain data set 8; According to data set 8, the parking records are traversed and sorted by license plate number according to vehicle entry / exit time to obtain data set 9; According to data set 9, compare the entry time and exit time of two adjacent records, calculate the time difference between the two records, and get the parking time of each vehicle. , is the vehicle serial number, and the data set 10 is obtained; According to data set 10, the parking records with parking time between 06:00 and 24:00 during the day are screened to obtain data set 11; According to data set 11, calculate the average parking time for each vehicle during daytime parking. ; Calculate the parking lot daytime parking space turnover rate .

5. The method for calculating the classification demand for container truck parking in container port planning based on the container truck operation process according to claim 4 is characterized in that The specific calculation process S11.4 of the parameter processing module is: Obtain GPS sample data of existing trucks in Hong Kong, clean the data, delete invalid and missing data rows in the original data, and calculate the number of valid vehicle samples. , extracting data including license plate number, vehicle color, data receiving time, longitude and latitude, direction, direction angle, and system time, and obtaining data set 12; According to data set 12, according to the GPS records of the same vehicle, if the difference in longitude and latitude of the continuous system time does not exceed the error range, it is considered as a continuous stop in one place, and the stay time exceeds 5 minutes as one parking for the sample, the start time and end time of each parking of each vehicle are obtained, and the parking start time is sorted to obtain data set 13; According to data set 13, the number of parked vehicles at the initial time is set to 0. When a vehicle starts to park, the number of parked vehicles at that time is increased by 1. When a vehicle stops parking, the number of parked vehicles at that time is reduced by 1. The number of parked vehicles at each time of the day is counted to obtain data set 14. According to data set 14, the number of parked vehicles at the time when the maximum number of parked vehicles is ; Calculate the maximum parking ratio of vehicles for night rest .

6. The method for calculating the parking requirements for container trucks in container port planning based on the container truck operation process according to claim 1 is characterized in that The specific calculation formula of the parking demand calculation module for the terminal is: ； in, The scale of parking spaces built for the terminal is is the annual container throughput of the terminal, is the road transport share of the terminal, is the monthly imbalance coefficient of the terminal, is the daily imbalance coefficient of the terminal, is the transport direction imbalance coefficient of the terminal, is the peak hour coefficient of the terminal, The number of days the terminal is in operation throughout the year. is the number of containers per vehicle at the terminal, is the empty driving rate of vehicles entering and leaving the terminal, is the average hourly operation volume of the terminal bridge, is the number of terminal bridge operation lines, It is the number of container truck spaces waiting for operation in the terminal yard.

7. The method for calculating the parking requirements for container trucks in container port planning based on the container truck operation process according to claim 1 is characterized in that The specific calculation formula of the parking demand calculation module for the empty container yard outside the port is: ； in, The scale of parking spaces to be built for the empty container yard outside the port, is the annual container throughput of the empty container yard outside the port, is the road transport share of the empty container yard, is the monthly imbalance coefficient of the empty container yard outside the port, is the daily imbalance coefficient of the empty container yard outside the port, is the transport direction imbalance coefficient of the empty container yard outside the port, is the peak hour coefficient of the empty container yard outside the port, is the proportion of container vehicles to ship-receiving vehicles, is the number of operating days of the empty container yard outside the port throughout the year, is the number of containers loaded on a single vehicle at the empty container yard outside the port, It is the empty driving rate of vehicles entering and leaving the yard.

8. The method for calculating the classification demand for container truck parking in container port planning based on the container truck operation process according to claim 1 is characterized in that The specific calculation formula of the public parking demand calculation module in the daytime operation phase is: ； in, The scale of public parking spaces in Hong Kong during daytime operation. This is the number of empty vehicles leaving the terminal in one direction on peak days. This is the number of empty trucks departing from the empty container yard outside the port in one direction on peak days. For the assembly ratio, It is the parking space turnover rate during the day.

9. The method for calculating the parking requirements for container trucks in container port planning based on the container truck operation process according to claim 1 is characterized in that The specific calculation formula of the public parking demand calculation module in the night rest phase is: ； in, The scale of public parking spaces for nighttime rest in Hong Kong. This is the number of vehicles entering and leaving the terminal in both directions on peak days. For night rest, the maximum parking ratio is It is the average number of bicycles entering and leaving the port per day.

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