A traffic efficiency-based vehicle delay condition analysis method

Abstract

The application provides a traffic efficiency-based vehicle delay condition analysis method, comprising the following steps: toll station exit lane data real-time feedback, and exit lane data table is created according to the data of each complete natural month; the latest basic data table of the month is extracted, and the shortest path table is generated according to the basic data table; relative delay and absolute delay are calculated according to the exit lane data table, the basic data table and the shortest path table, and the relative delay information and the absolute delay information are output on the application server. The application obtains the information such as vehicle starting location, travel path and travel time by summarizing the toll station exit lane data and basic data, and the delay time of vehicle driving can be summarized through the information, which can give the driver a reference and give the staff to understand the traffic condition and timely adjust the road policy.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of road traffic, in particular to a vehicle delay condition analysis method based on traffic efficiency. BACKGROUND

[0002] With the rapid development of economic society, passenger traffic and freight traffic increase year by year, and the pressure on the expressway is also increasing, especially during the peak traffic period, some small incidents can seriously affect the normal operation of the expressway, and traffic congestion is becoming a normal feature. Traffic congestion seriously affects the normal work and life of residents, and the more serious the traffic congestion, the longer the residents need to travel. Real-time observation of the congestion condition of traffic and analysis of the vehicle delay condition have great significance for the residents to reasonably choose the travel mode and the active control of the expressway. SUMMARY

[0003] Therefore, the present application provides a vehicle delay condition analysis method based on traffic efficiency, which can analyze and summarize the delay condition of each period between two places.

[0004] To solve the above technical problems, the present application provides a vehicle delay condition analysis method based on traffic efficiency, comprising the following steps:

[0005] The exit lane data of the toll station is transmitted back in real time, and an exit lane data table is created according to the data of each complete natural month;

[0006] The latest basic data table of the month is extracted, and a shortest path table is generated according to the basic data table;

[0007] The relative delay and absolute delay are calculated according to the exit lane data table, the basic data table and the shortest path table, and the relative delay information and the absolute delay information are output on the application server.

[0008] Further, the exit lane data of the toll station received by the production environment is transmitted to the data receiving server in real time, and after each natural month ends, the data of the complete natural month in the data receiving server is extracted to the Hadoop platform, and after data cleaning, an exit lane data table is created in the hive database to store valid data.

[0009] Further, the latest basic data table of the month is extracted to the Hadoop platform, and a basic data table is created in the hive database.

[0010] Further, the basic data table includes a node table, a section table and a road network topology relationship table.

[0011] Further, the node table contains the relevant basic information of toll stations and interchanges, records the id, name, stake number, lane number, opening time, belonging road section, belonging route, and belonging administrative district information of the toll station or interchange.

[0012] Further, the section table contains the section id, section name, section mileage, section lane number, opening time, belonging road section, belonging route, belonging administrative district, and section design speed information. The section refers to the interval between two adjacent toll stations, adjacent toll station and interchange, or two adjacent interchanges.

[0013] Further, the road network topology relationship table contains the current section id and adjacent previous section id information.

[0014] Further, based on the node table, section table, and road network topology relationship table, the Dijkstra algorithm is used to generate the shortest path table between any two toll stations in the expressway network. The shortest path table contains the entry toll station id, exit toll station id, shortest path, and shortest path mileage information. The shortest path table is a collection of the shortest paths between any two toll stations.

[0015] Further, the relative delay analysis compares the OD travel time of each vehicle with the relative delay threshold value of the time period based on the entry time. The vehicle with the OD travel time higher than the relative delay threshold value is the relative delay vehicle. The output of the relative delay information of the OD in the month includes the observation time period, average delay time, OD delay vehicle number, maximum delay time, total delay time, OD shortest path, and OD shortest distance. The delay vehicle number is all the OD vehicle numbers in the delay time period. The maximum delay time is the maximum actual travel time minus the delay time threshold value. The total delay time is the average delay time multiplied by the delay vehicle number.

[0016] Further, the relative delay threshold value calculation method is as follows:

[0017] Taking 1 hour as the time period, the median value of the actual travel time in the time period of each day in the month is calculated. The median value of these median values is taken as the delay time threshold value.

[0018] Further, the absolute delay analysis compares the OD travel time of each vehicle with the absolute delay threshold value of the time period based on the entry time. The vehicle with the OD travel time higher than the absolute delay threshold value is the absolute delay vehicle. The output of the absolute delay information of the OD in the month includes the observation time period, average delay time, OD delay vehicle number, maximum delay time, total delay time, OD shortest path, and OD shortest distance.

[0019] Further, the absolute delay threshold value calculation method is as follows:

[0020] According to the expressway section congestion degree grade division standard, the lower limit value of the speed in the congestion degree is the speed threshold value, and the time required by the speed threshold value in the OD shortest path is the absolute delay time.

[0021] Further, the analysis result display pushes the relative delay analysis result and the absolute delay analysis result to a business application server, so that a business application system displays the analysis result.

[0022] The beneficial effects of the above technical solutions of the present application are as follows:

[0023] The OD delay includes hotspot OD and OD between main cities. The hotspot OD refers to the delay of the first 100 ODs with the largest traffic flow, and the OD between cities refers to the OD vehicle delay between each two cities in 11 cities in Shaanxi Province.

[0024] The present application obtains the vehicle starting location, travel path, and travel time by summarizing the data of the toll station exit lane and the basic data, and the delay time of the vehicle travel can be summarized through these information, which provides a reference for the driver and provides the staff with the traffic situation to adjust the road policy in time.

[0025] Meanwhile, the present application also proposes relative delay analysis and absolute delay analysis. The relative delay analysis can obtain the absolute delay threshold value and the subsequent change relative to the absolute delay threshold value, that is, the change trend of the delay information can be provided. The absolute delay analysis is directly related to the expressway section congestion degree grade, which can directly reflect the road congestion situation, and the staff can obtain more comprehensive information. That is, when the delay occurs and the subsequent delay occurs, is the trend getting better or worse, and when the delay occurs and does not occur, the specific smoothness of the road. BRIEF DESCRIPTION OF DRAWINGS

[0026] Figure 1 The flowchart of the vehicle delay condition analysis method based on traffic efficiency of the present application;

[0027] Figure 2 The flowchart of the relative delay analysis of the present application;

[0028] Figure 3 The flowchart of the absolute delay analysis of the present application;

[0029] Figure 4 The screen diagram of the analysis result display of the present application;

[0030] Figure 5 The expressway section congestion degree grade division standard. DETAILED DESCRIPTION

[0031] In order to make the purposes, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions of the embodiments of the present application will be described clearly and completely below with reference to the drawings of the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments of the present application. Based on the described embodiments of the present application, all other embodiments obtained by a person of ordinary skill in the art belong to the scope of protection of the present application.

[0032] As shown in Figure 1 The present embodiment provides a traffic efficiency-based vehicle delay condition analysis method, comprising the following steps:

[0033] The toll station exit lane data is transmitted back in real time, and an exit lane data table is created according to the data of each complete natural month;

[0034] The latest basic data table of the month is extracted, and a shortest path table is generated according to the basic data table;

[0035] The relative delay and the absolute delay are calculated according to the exit lane data table, the basic data table and the shortest path table, and the relative delay information and the absolute delay information are output on the application server.

[0036] The toll station exit lane data received by the production environment in real time is transmitted to the data receiving server in real time, and the data of the complete natural month in the data receiving server is extracted to the Hadoop platform after each natural month ends. After data cleaning, an exit lane data table is created in the hive database to store valid data.

[0037] The latest basic data table of the month is extracted to the Hadoop platform, and a basic data table is created in the hive database. The basic data table includes a node table, a section table and a road network topology relationship table. The node table includes the related basic information of the toll station and the interchange, records the id, name, stake number, lane number, opening time, belonging road section, belonging route and belonging administrative district information of the toll station or the interchange. The section table includes the section id, section name, section mileage, section lane number, opening time, belonging road section, belonging route, belonging administrative district and section design speed information. The road network topology relationship table includes the current section id and the adjacent previous section id information. Taking the node table, the section table and the road network topology relationship table as the basic data table, the Dijkstra algorithm is used to generate the shortest path table between any two toll stations in the expressway network, and the shortest path table includes the entry toll station id, the exit toll station id, the shortest path and the shortest path mileage information.

[0038] As shown in Figure 2As shown: Relative delay analysis uses the entry time as a benchmark and compares the OD passage time of each vehicle with the relative delay threshold for that time period. Vehicles whose OD passage time is higher than the relative delay threshold are considered relatively delayed vehicles. The output of the OD relative delay information for the current month includes the observation period, average delay time, number of delayed OD vehicles, maximum delay time, total delay time, shortest OD path, and shortest OD distance.

[0039] The relative delay threshold is calculated as follows:

[0040] Using a 1-hour timeframe, calculate the median actual travel time for each day within that timeframe within the current month. Use this median as the delay time threshold. For example, consider the Xi'an-Yulin Expressway from point A to point B between 17:00 and 18:00 in April 2021. Calculate the average travel time for that time point each day over the 30 days of the month, and use the median value. For example, if it's 26.86 minutes, then the threshold is 26.86 minutes.

[0041] like Figure 3 and Figure 5 As shown, the absolute delay analysis uses the entry time as a benchmark and compares the OD passage time of each vehicle with the absolute delay threshold for that time period. Vehicles whose OD passage time is higher than the absolute delay threshold are considered absolutely delayed vehicles. The system outputs the absolute delay information for the current month, which includes the observation period, average delay time, number of delayed OD vehicles, maximum delay time, total delay time, shortest OD path, and shortest OD distance.

[0042] The absolute delay threshold is calculated as follows:

[0043] According to the standard for classifying the congestion level of highway sections, the lower limit of the speed required for smooth traffic flow is set as the speed threshold. The absolute delay time is the time required to complete the entire route using the speed threshold along the shortest OD path. Taking the Xi'an-Yulin Expressway from point A to point B as an example, the shortest distance is 41km, the design speed is 120km / h, and the speed threshold is 90km / h. Therefore, the delay time threshold is 27.33 minutes.

[0044] The analysis results are displayed by pushing the relative delay analysis results and absolute delay analysis results to the business application server for display by the business application systems. (See also...) Figure 4 This is a hotspot with absolute delay in OD display.

[0045] The above description represents the preferred embodiments of the present invention. It should be noted that those skilled in the art can make various improvements and modifications without departing from the principles of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A method for analyzing vehicle delays based on traffic efficiency, characterized in that: Includes the following steps: Data from tollbooth exit lanes is transmitted back in real time, and an exit lane data table is created based on data from each complete calendar month. Extract the latest basic data table for the current month, and generate a shortest path table based on the basic data table; Calculate relative and absolute delays based on the exit lane data table, basic data table, and shortest path table, and output the relative and absolute delay information on the application server; Absolute delay analysis uses the entry time as a benchmark and compares the OD passage time of each vehicle with the absolute delay threshold for that time period. Vehicles whose OD passage time is higher than the absolute delay threshold are considered absolutely delayed vehicles. The system outputs the absolute delay information for the current month, which includes the observation period, average delay time, number of delayed OD vehicles, maximum delay time, total delay time, shortest OD path, and shortest OD distance. The absolute delay threshold is calculated as follows: According to the classification standard of congestion level of highway sections, the lower limit of the speed for smooth congestion is the speed threshold, and the time required for the entire route to use the speed threshold when the OD shortest path is taken is the absolute delay time. The analysis results are displayed by pushing the relative delay analysis results and the absolute delay analysis results to the business application server for the business application system to display the analysis results.

2. The vehicle delay analysis method based on traffic efficiency as described in claim 1, characterized in that: The toll station exit lane data received in the production environment is transmitted to the data receiving server in real time. At the end of each calendar month, the data for the complete calendar month is extracted from the data receiving server and sent to the Hadoop platform. After data cleaning, an exit lane data table is created in the Hive database to store the valid data.

3. The vehicle delay analysis method based on traffic efficiency as described in claim 2, characterized in that: Extract the latest basic data table for the current month to the Hadoop platform and create basic data tables in the Hive database. The basic data tables include a node table, a cross-section table, and a road network topology table. The node table contains basic information about toll stations and interchanges, recording the ID, name, station number, number of lanes, opening time, road segment, route, and administrative region of the toll station or interchange. The cross-section table contains the cross-section ID, cross-section name, cross-section mileage, number of lanes, opening time, road segment, route, administrative region, and cross-section design speed. The road network topology table contains the current cross-section ID and the ID of the adjacent previous cross-section.

4. The vehicle delay analysis method based on traffic efficiency as described in claim 3, characterized in that: Using node tables, cross-section tables, and road network topology tables as basic data tables, the Dijkstra algorithm is used to generate a shortest path table between any two toll stations in the highway network. The shortest path table includes the entrance toll station ID, the exit toll station ID, the shortest path, and the shortest path mileage information.

5. The vehicle delay analysis method based on traffic efficiency as described in claim 4, characterized in that: Relative delay analysis uses the entry time as a benchmark and compares the OD passage time of each vehicle with the relative delay threshold for that time period. Vehicles whose OD passage time is higher than the relative delay threshold are considered relatively delayed vehicles. The monthly OD relative delay information is output, which includes the observation period, average delay time, number of delayed OD vehicles, maximum delay time, total delay time, shortest OD path, and shortest OD distance.

6. The vehicle delay analysis method based on traffic efficiency as described in claim 5, characterized in that: The relative delay threshold is calculated as follows: Using a 1-hour time period, calculate the median of the actual travel time for each day of the month within that time period, and take the median of these median values ​​as the delay time threshold.

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