Method, system and device for estimating passenger carrying capacity of bus rapid corridor and medium

Abstract

The application provides a bus lane passenger carrying capacity estimation method, system, device and medium, comprising the following steps: presetting a target interval of an area adjacent to a crossing and including a platform, collecting bus vehicle information and road section information of all vehicles running in the target interval within a preset unit time; presetting a station length in the target interval based on the bus vehicle information, and obtaining a preset traffic capacity of the station; presetting a length of a downstream road section of the station in the target interval based on the vehicle information, and obtaining an actual traffic capacity of the downstream road section and an actual traffic capacity of a downstream crossing; if the preset traffic capacity of the station is less than or equal to the sum of the actual traffic capacity of the downstream road section and the actual traffic capacity of the downstream crossing, and the length of the target interval is equal to the sum of the length of the station and the length of the downstream road section, then the actual traffic capacity of the target interval is the preset traffic capacity of the station; and the passenger carrying capacity of the target interval is the product of the actual traffic capacity of the vehicle and a rated passenger carrying capacity.

Description

TECHNICAL FIELD

[0001] Method, system, device and medium for estimating passenger carrying capacity of bus rapid corridor in coordination BACKGROUND

[0002] As the main line in the urban road network, the passenger carrying capacity of the bus rapid corridor restricts the overall service capacity of the entire urban public transportation system. At present, the bus rapid corridor also faces several problems in the process of further construction and development.

[0003] First, due to the increase in passenger demand and the expansion of the bus rapid line network, there is a phenomenon of mismatch between the intersection and station passing capacity in the bus rapid corridor. During peak hours, the vehicle queue at the intersection is too long, the overflow of the queue extends to the upstream station, causing other vehicles to be unable to leave the station and have to wait in the parking lot, affecting the entry of subsequent vehicles, further increasing the delay of vehicles at the station, and reducing the overall carrying capacity of the corridor.

[0004] Second, due to the unreasonable planning and construction of the corridor, there are large stations in the corridor. For example, in the Guangzhou Zhongshan Avenue bus rapid corridor, the longest station is 285 meters long, accounting for 1 / 3 of the length of the road section. The long station occupies too much road section, further reducing the number of vehicles that the road can accommodate.

[0005] Third, most urban bus corridors are not designed and developed in an integrated manner. For example, in a certain city, there are 4 bus lanes and 4 bus stations in some areas of the traffic corridor, and the rapid bus and the ordinary bus run separately, resulting in the occupation of too much road resource.

[0006] In summary, the existing research cannot cooperatively evaluate the passenger carrying capacity of the intersections, road sections and stations of the bus rapid corridor, and cannot be used to guide the integrated design and development of the bus rapid corridor. SUMMARY

[0007] To solve the problems in the prior art, the present application provides a method, system, device and medium for estimating the passenger carrying capacity of the bus rapid corridor in coordination, which can match the passing capacity of the intersection, road section and station, obtain the maximum passenger carrying capacity of each section of the bus rapid corridor, and promote the integrated development of the bus rapid corridor.

[0008] The present application is achieved by the following technical solutions:

[0009] The method for estimating the passenger carrying capacity of the bus rapid corridor in coordination comprises the following steps:

[0010] S1: preset a target section as an area adjacent to a station and including the station, collect information of bus operation in the target section, road section and intersection information in a preset unit time;

[0011] S2: preset a length of the station in the target section based on the information of bus operation, and obtain an estimated maximum capacity of the station;

[0012] S3: preset a length of a road section downstream of the station in the target section based on information of vehicle operation, obtain a maximum capacity of the road section downstream of the station, and obtain a maximum capacity of an intersection downstream of the station based on signal timing information of the intersection;

[0013] S4: establish a total road section length constraint model and a constraint condition of smooth operation of the bus lane, obtain a maximum vehicle capacity of the section, the total road section length constraint model is that the length of the target section is equal to the sum of the length of the station and the length of the downstream road section, and the constraint condition of smooth operation of the bus lane is that the estimated capacity of the station is less than or equal to the sum of the maximum capacity of the downstream road section and the capacity of the downstream intersection;

[0014] S5: the passenger carrying capacity of the target section is the product of the maximum vehicle capacity and the rated passenger carrying capacity.

[0015] Further, the information of all forms of bus operation in the target section in step S1 includes bus type information, rated passenger carrying capacity information of the bus type, bus arrival interval, stop time information and total road section length information, the road section and intersection information includes road section length information, speed limit information and intersection signal timing scheme information.

[0016] Further, the length of the station in step S2 is the sum of the occupied lengths of all vehicles to be driven into the station, wherein the vehicles to be driven into the station are grouped according to the minimum parking distance and the maximum berth utilization rate, and the minimum arrival interval and the actual arrival frequency information between different bus groups are obtained, based on the vehicle information in the group and the actual arrival frequency information of different bus groups, the estimated capacity of the station length of the platform is obtained.

[0017] Further, the maximum capacity of the road section downstream of the station is:

[0018] The group vehicle in the road section downstream of the station is taken as a target, based on the vehicle information in the group and the vehicle following model, the road section speed limit and the vehicle length information, the maximum capacity of the unit length road section is obtained, the number of vehicles in the group vehicle is greater than or equal to 1.

[0019] Further, the maximum capacity of the downstream intersection is:

[0020] The maximum passing capacity of the downstream intersection is obtained according to the passing capacity estimation method of the intersection.

[0021] Further, the fluctuation threshold is set in the steps S2 and S3, and the fluctuation threshold is the bus that does not normally arrive in the target interval and drives into the target interval by uncontrollable factors;

[0022] The fluctuation threshold is based on the bus arrival interval and the stop time information, the distribution fitting is carried out, the distribution type is judged, and the fluctuation threshold is obtained based on the Laiyida criterion;

[0023] The length of the station is the sum of the length of the station occupied by the average normally arriving vehicle and the length of the station occupied by the fluctuation threshold;

[0024] The length of the downstream road section is the sum of the length of the downstream road section occupied by the average normally arriving vehicle and the length of the downstream road section occupied by the fluctuation threshold.

[0025] Further, the preset unit time is divided into a plurality of different time granularities, the vehicle passing capacity of the target interval under different time granularities is obtained respectively, the maximum vehicle passing capacity in each time granularity is taken as the upper limit value of the vehicle passing capacity in the target interval, and the upper limit value of the passenger carrying capacity of the target interval is obtained.

[0026] The system for cooperatively estimating the passenger carrying capacity of the rapid bus corridor comprises:

[0027] The collection module is used for taking a region including a platform and adjacent to a platform intersection as a target interval, collecting information of all bus vehicles and road section information in the target interval in a preset unit time;

[0028] The station information processing module is used for presetting the length of the station in the target interval based on the bus vehicle information, and obtaining the preset passing capacity of the station;

[0029] The downstream information processing module is used for presetting the length of the downstream road section of the station in the target interval based on the vehicle information, and obtaining the maximum passing capacity of the downstream road section of the station and the maximum passing capacity of the downstream intersection;

[0030] The judgment module is used for judging that the vehicle passing capacity of the target interval is the preset passing capacity of the station if the preset passing capacity of the station is less than or equal to the sum of the passing capacity of the downstream road section of the station and the passing capacity of the downstream intersection, and the length of the target interval is equal to the sum of the length of the station and the length of the downstream road section.

[0031] The output module is used for taking the passenger carrying capacity of the target interval as the product of the vehicle passing capacity and the rated passenger carrying capacity.

[0032] A computer device comprises a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the steps of the method for estimating the passenger carrying capacity of a rapid bus corridor when executing the computer program.

[0033] A computer readable storage medium stores a computer program, and the computer program implements the steps of the method for estimating the passenger carrying capacity of a rapid bus corridor when executed by a processor.

[0034] Compared with the prior art, the present application has the following beneficial technical effects:

[0035] The present application provides a method, system, device and medium for estimating the passenger carrying capacity of a rapid bus corridor, comprising the following steps: presetting a target interval as an area adjacent to a platform and including the platform, collecting information of bus operation in the target interval, road section and intersection information in a preset unit of time; presetting a length of the station in the target interval based on the information of bus operation, and obtaining the estimated maximum passing capacity of the station; estimating the length of the downstream road section of the station in the target interval based on the information of vehicle departure operation, obtaining the maximum passing capacity of the downstream road section of the station, and obtaining the maximum passing capacity of the downstream intersection based on the signal timing information of the intersection; establishing a total road length constraint model and a constraint condition for smooth operation of the rapid bus corridor, obtaining the maximum vehicle passing capacity of the interval, the total road length constraint model is: the length of the target interval is equal to the sum of the length of the station and the length of the downstream road section; the constraint condition for smooth operation of the rapid bus corridor is: the estimated passing capacity of the station is less than or equal to the sum of the maximum passing capacity of the downstream road section and the passing capacity of the downstream intersection; and the passenger carrying capacity of the target interval is the product of the maximum passing capacity of the vehicle and the rated passenger carrying capacity. On the one hand, the present application can match the passing capacities of the intersection, the downstream road section and the station to obtain the maximum passenger carrying capacity of the rapid bus corridor, so that the bus corridor runs more smoothly; on the other hand, the present application can integrate the design and development of the bus corridor in the traffic corridor, increase the input-output ratio of the bus system, and promote the coordinated development of multi-mode transportation in the corridor to alleviate the congestion of the traffic corridor. BRIEF DESCRIPTION OF DRAWINGS

[0036] Figure 1 The flowchart of the method for estimating the passenger carrying capacity of a rapid bus corridor according to the present application;

[0037] Figure 2 The normal distribution fitting diagram in the preferred embodiment of the present application. DETAILED DESCRIPTION

[0038] The present application will be further described in detail below in conjunction with specific embodiments, which are an explanation of the present application rather than a limitation.

[0039] In order to make the person skilled in the art better understand the technical scheme of the present application, the technical scheme in the embodiments of the present application will be described clearly and completely below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by the person skilled in the art without creative labor should belong to the protection scope of the present application.

[0040] It should be noted that the terms "first", "second", and the like in the specification and claims of the present application and the above-described drawings are used to distinguish similar objects, and do not necessarily have to be used to describe a specific order or sequence. It should be understood that the data thus used can be interchanged under appropriate circumstances, so that the embodiments of the present application described herein can be implemented in an order other than that illustrated or described herein. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion, for example, a process, method, system, product, or device including a series of steps or units does not have to be limited to only those steps or units clearly listed, but can include other steps or units not clearly listed or inherent to these processes, methods, products, or devices.

[0041] The present application provides a rapid bus corridor passenger carrying capacity cooperative estimation method, as shown in the figure, comprising the following steps: Figure 1 S1: presetting a region adjacent to the intersection and including the station as a target interval, collecting information of bus operation in the target interval, road section and intersection information in a preset unit time;

[0042] S1: presetting a region adjacent to the intersection and including the station as a target interval, collecting information of bus operation in the target interval, road section and intersection information in a preset unit time;

[0043] S2: presetting the length of the station in the target interval based on the information of bus operation, and obtaining the estimated maximum passing capacity of the station;

[0044] S3: estimating the length of the downstream road section of the station in the target interval based on the information of vehicle departure operation, obtaining the maximum passing capacity of the downstream road section of the station, and obtaining the maximum passing capacity of the downstream intersection based on the signal timing information of the intersection;

[0045] S4: establishing a total road section length constraint model and a constraint condition for smooth operation of the rapid bus corridor, obtaining the maximum vehicle passing capacity of the interval, and the total road section length constraint model is: the length of the target interval is equal to the sum of the length of the station and the length of the downstream road section; the constraint condition for smooth operation of the rapid bus corridor is: the estimated passing capacity of the station is less than or equal to the sum of the maximum passing capacity of the downstream road section and the passing capacity of the downstream intersection;

[0046] S5: the passenger carrying capacity of the target interval is the product of the maximum passing capacity of the vehicle and the rated passenger carrying capacity.

[0047] Preferably, the information of all forms of bus operation in the target interval in step S1 includes: bus type information, bus type rated passenger capacity information, bus interval, stop time information and total road length information; the road section and intersection information includes road length information, speed limit information and intersection signal timing scheme information.

[0048] Preferably, the station length is the sum of the occupation lengths of all vehicles to be driven into the marshalling; wherein the vehicles to be driven into are marshalled according to the minimum parking distance and the maximum berth utilization rate, and the minimum arrival interval and the actual arrival frequency information between different bus marshalling are obtained, and based on the vehicle information in the marshalling and the actual arrival frequency information of different bus marshalling, the estimated passing capacity of the platform of the station length is obtained, and the method also uses single arrival vehicles.

[0049] It should be noted that the marshalling process according to the minimum parking distance and the maximum berth utilization rate is as follows:

[0050] The process of obtaining the length information of the target platform berth space and the bus type information served by the platform is as follows:

[0051] Under the consideration of completely occupying the berth space length, all vehicle type combination types t i are listed which can be simultaneously served by the platform, wherein each vehicle type combination type includes the number, order and parking distance between vehicles of each vehicle type in the group;

[0052] The first door of each combination type t i is aligned, the coordinates of the left and right boundaries of the door in each combination are counted with the boundary position on one side of the first door as the origin, and the coordinates of all door left and right boundaries are projected onto the same coordinate axis;

[0053] The door projection set of each vehicle type combination is divided along the coordinate axis direction, and the position relationship between the door projections contained in each projection set area is judged;

[0054] According to the door projection boundary in the door projection set area, the set area is divided into several door body areas, a preset minimum threshold of door body area width is compared with the several divided door body areas and updated, and the configuration mode smaller than the minimum threshold is updated;

[0055] An upward platform door is configured in the updated door projection set area according to the size of the set area, the upward platform door is composed of one or more independently liftable door bodies, and the number of independently liftable door bodies is the ratio of the size of the set area to the number of independently liftable door bodies.

[0056] The above scheme is used to determine the vehicle marshalling type and estimate the passing capacity of the station.

[0057] When the vehicle to be driven into the station, preferably using a dynamic method for berth allocation, the process is:

[0058] Collect the length and quantity information of the vehicle to be driven into the station in the mixed vehicle formation, and calculate the original berth total waste length of direct entry into the berth according to the information of the mixed vehicle formation;

[0059] Enter the length and quantity information of the vehicle in the mixed vehicle formation into the berth dynamic allocation function calculation to obtain the berth allocation scheme, and calculate the total waste length of the dynamically allocated berth;

[0060] Compare the original berth total waste length and the dynamically allocated berth total waste length, if they are equal, the mixed vehicle formation directly enters the berth, if they are not equal, the mixed vehicle formation enters the berth according to the berth allocation scheme;

[0061] The allocation scheme of the vehicle to be driven into the station into the berth is transmitted to the vehicle to be driven into the station and the BRT station shield door control system, and the vehicle to be driven into the station enters the specified berth according to the berth allocation scheme, and the shield door control system controls the opening and closing degree of the shield door according to the berth allocation scheme, and completes the dynamic adjustment of the berth. It should be noted that the shield door preferably adopts a multi-stage longitudinal pull-out type structure arrangement, and the adjacent stages of the shield door can be opened and closed separately, and thus can be suitable for the combination of different length vehicle models.

[0062] The above scheme is used to determine the vehicle formation type for station passing capacity estimation.

[0063] The process of obtaining the estimated passing capacity of the station is:

[0064] Collect the length information of the berth space of the target station and the bus model information served by the station, and the minimum arrival interval and actual arrival frequency information between different bus formations;

[0065] Under the condition of completely occupying the berth space length of the station, list the vehicle model combination types that can be simultaneously served by the station, and convert the number of each vehicle model in each vehicle model combination type into the number of standard buses;

[0066] According to the vehicle model combination types that can be simultaneously served by the target station and the minimum arrival interval information between different bus formations, an estimation model of the adaptive station maximum vehicle passing capacity is established, and a converted maximum vehicle passing capacity model is calculated based on the conversion into standard buses;

[0067] According to the vehicle model combination types that can be simultaneously served by the target station, the actual arrival frequency and the completion degree information of the formation between different bus formations, an estimation model of the adaptive station actual vehicle passing capacity is established, and a converted actual vehicle passing capacity model is calculated based on the conversion into standard buses;

[0068] The maximum passenger traffic capacity and the actual passenger traffic capacity are obtained based on the maximum vehicle traffic capacity and the actual vehicle traffic capacity.

[0069] The above scheme is used for station traffic capacity estimation to determine the vehicle marshalling type.

[0070] The vehicle following model is:

[0071] The vehicle driving scenarios in road traffic are divided, and the driving scenarios are classified into vehicle approaching area corresponding driving scenarios and vehicle following area corresponding driving scenarios according to the vehicle longitudinal running state, and the minimum parking distance of the vehicle is determined according to the measured data analysis;

[0072] Based on the vehicle minimum parking distance and the speed optimization model, the scenario driving trajectory data set of the approaching area and the following area is obtained;

[0073] The longitudinal motion model is calibrated based on the trajectory data, and the vehicle following model is obtained.

[0074] The above scheme is used for station downstream length determination and downstream road section traffic capacity estimation to determine the vehicle expected distance.

[0075] Preferably, the maximum traffic capacity of the downstream road section is:

[0076] The marshalling vehicle in the downstream road section of the station is taken as the target, i.e. the marshalling vehicle leaving the station, and based on the vehicle information in the marshalling vehicle and the vehicle following model, the road section speed limit and the vehicle length information, the maximum traffic capacity of the unit length road section is obtained, and the number of vehicles in the marshalling vehicle is greater than or equal to 1; it should be noted that the processing process of the vehicle following model and the maximum traffic capacity is consistent with the corresponding processing process of the station estimated traffic capacity;

[0077] Preferably, the maximum traffic capacity of the downstream intersection is:

[0078] The marshalling vehicle that has merged into the downstream intersection of the station is taken as the target, and the maximum traffic capacity of the downstream intersection is obtained according to the intersection traffic capacity estimation method.

[0079] Preferably, the station and the road section length in steps S2 and S3 are provided with a fluctuation threshold, and the fluctuation threshold indicates that the public bus in the non-marshalling vehicle in the target interval drives into the target interval due to uncontrollable factors.

[0080] The fluctuation threshold is obtained based on the distribution fitting of the bus arrival interval and the stop time information, the judgment of the distribution type, and the Laplace criterion.

[0081] The station length needs to be updated as: the sum of the average normal arrival vehicle occupied station length and the fluctuation threshold occupied station length; the downstream road section length is: the sum of the average normal arrival vehicle occupied downstream road section length and the fluctuation threshold occupied length; based on the above, the station estimated maximum traffic capacity without fluctuation threshold and the station downstream road section maximum traffic capacity without fluctuation threshold, and the station downstream intersection maximum traffic capacity are obtained, and the maximum vehicle traffic capacity of the target interval is obtained through the total road section length constraint model and the constraint condition of the smooth operation of the rapid bus corridor.

[0082] Further, since the vehicle arrival in a preset unit time has randomness and can cause uneven distribution of vehicle arrival under different time granularity, the preset unit time is divided into a plurality of different time granularity, and the vehicle traffic capacity of the target interval under different time granularity is obtained respectively, the maximum vehicle traffic capacity in each time granularity is taken as the upper limit value of the vehicle traffic capacity in the target interval, and the upper limit value of the passenger carrying capacity of the target interval is obtained.

[0083] The present application provides a preferred embodiment as:

[0084] The rapid bus corridor is divided into a series of continuous intervals, and the operation bus type information, the rated passenger carrying capacity information of the bus type, the total road section length information, the road speed limit information and the intersection signal timing scheme information in the target interval are collected;

[0085] The fluctuation threshold is set, the distribution fitting of the bus "arrival interval + stop time" is carried out, as shown in Figure 2 It can be seen from the figure that the fitting of the bus "arrival interval + stop time" conforms to the normal type, and the overall mean and variance of the "arrival interval + stop time" are calculated as μ and σ 2 The probability in the range of (μ-3σ, μ+3σ) is 0.9974, and the vehicle departure fluctuation number z is determined as 1 based on the Laplace criterion.

[0086] The number of different bus type stop berths is x and y respectively, wherein:

[0087] Scheme one: 12m bus type + 18m bus type, and the number of 18m bus type y is 2, then:

[0088] L1=L0+z·12

[0089] Wherein:

[0090] L0=x·12+2·18+l3

[0091] Scheme two: 12m bus type + 31.64m bus type, and the number of 31.64m bus type y is 1, then:

[0092] L1=L0+z·12

[0093] wherein:

[0094] L0=x·12+31.64+l3

[0095] wherein, in the formula: L1 is the length of the station, ; L0 is the average length of the station occupied by the arriving vehicle, meters; l3 is the length corresponding to the passenger entering and exiting the station and ticket selling, etc., meters; z is the number of off-station fluctuations of the vehicle, pieces.

[0096] The type of vehicle formation that the station with the length of L0 can stop is:

[0097] Scheme one: x·12m+2·18m;

[0098] Scheme two: x·12m+31.64m;

[0099] The average departure interval between vehicle formations is 2 min, and the average departure interval of a single vehicle is the same as the departure interval between vehicle formations. It should be noted that those skilled in the art can determine the length information of the operating vehicle type according to the methods of the invention patents CN 113284363 A, CN 114529222 A, CN 116084807 A and CN 116245229 A.

[0100] According to the method in the preferred embodiment, the actual traffic capacity B of the platform system with the length of L0 is estimated r ;

[0101] Specifically, the estimation model of the adaptive platform actual vehicle traffic capacity is:

[0102] B r =B ro +B ry ;

[0103] wherein:

[0104]

[0105]

[0106] wherein: B r represents the preset vehicle traffic capacity of the adaptive platform, veh / h; B ro represents the preset vehicle traffic capacity of the adaptive platform after improvement of the original formation scheme, veh / h; B ry represents the preset vehicle traffic capacity of the adaptive platform of the new formation scheme, veh / h; δ m represents the actual arrival frequency of the mth formation scheme per unit hour, times; α mdenotes the actual completion degree of the mth marshalling, m = 1, 2, …, n1+n2.

[0107] The length of the road section downstream of the station is determined as L2+L3;

[0108] Specifically, the length of the road section occupied by the average number of arriving vehicles is L2, and the length of the road section occupied by the fluctuation number of vehicles leaving is L3.

[0109] According to the bus following model, the speed limit of the road section, and the length of the vehicle, the maximum traffic capacity of the unit length road section is determined.

[0110] Specifically, the IDM model of the bus following model is:

[0111]

[0112]

[0113] s p,i (t) = x p,i-1 (t) - x p,t (t) - l p,i-1 ;

[0114] Δv p,i (t) = v p,i (t) - v p,i-1 (t) ;

[0115] In the formula: a p,i (t) is the distance between buses in the marshalling p; v0 is the acceleration of bus i; s * (v p,i (t), Δv p,i (t)) is the expected distance between buses; s min，y is the static safety distance parameter of the marshalling p, which is related to the type y of the marshalling p; a is the maximum acceleration; b is the comfortable deceleration; ΔT is the safety headway; δ is the acceleration coefficient; s p,i (t) is the distance between adjacent buses in the marshalling p; l p，i-1 is the length of the vehicle body of bus i in the marshalling p.

[0116] According to the obtained data and the IDM model of the above bus following model, the following is obtained:

[0117] s * (v p,i (t), Δv p,i (t)) = 43.682 m;

[0118] The maximum traffic capacity of the unit length road section is 0.341 vehicles / hour;

[0119] According to the maximum traffic capacity of the unit length section and the average number of vehicles arriving at the section length L2 determined above, the average departure interval between vehicle marshalling is 2 min, the average departure interval of single vehicle is the same as the departure interval between vehicle marshalling, the maximum traffic capacity B of the section downstream of the station is determined m , B m = 0.341 * L2 vehicles / hour

[0120] According to the intersection traffic capacity estimation method, the bus vehicle traffic capacity B of the signal intersection in the target interval is estimated c ;

[0121] The intersection bus vehicle traffic capacity model is as follows:

[0122]

[0123] In the formula: B c is the intersection bus vehicle traffic capacity, vehicles / hour; T c is the intersection signal cycle, seconds; t g is the green light time, seconds; t0 is the time of the first vehicle passing the stop line after the green light is on (generally 2.3 seconds, which can be appropriately extended for bus vehicles); t i is the average time of vehicles passing the stop line (the value is 3.5 seconds); is the reduction coefficient, which can be 0.9.

[0124] According to the obtained intersection signal timing scheme information, the above model is used to calculate: B c = 244 (vehicles / hour);

[0125] According to the established total section length constraint equation: L = L1 + L2 + L3;

[0126] and the constraint condition of smooth operation of the bus corridor; B r ≤ B m + B c ;

[0127] Substituting the above parameters, x = 10 is obtained by simultaneous solution, and the maximum vehicle traffic capacity of the interval is;

[0128] Scheme one: B r = 390 vehicles / hour;

[0129] Scheme two: B r = 400 vehicles / hour;

[0130] In summary, using a 31.64 m vehicle type can obtain a larger vehicle traffic capacity than using an 18 m vehicle type.

[0131] Further refine the time period, respectively, 30min, 15min, 10min, 5min and 3min as the research time period, repeat the above steps, get the maximum vehicle capacity of different time granularity, then take the maximum value as the maximum vehicle capacity of the interval;

[0132] Specifically, the maximum vehicle capacity of different time granularity is as follows:

[0133] B r30min = 412.2 vehicles / hour;

[0134] B r15min = 418.4 vehicles / hour;

[0135] B r10min = 420.4 vehicles / hour;

[0136] B r5min = 422.5 vehicles / hour;

[0137] B r3min = 423.5 vehicles / hour;

[0138] It can be concluded that the maximum vehicle capacity of 3min as the research time period is the maximum vehicle capacity of the interval.

[0139] According to the station vehicle capacity and the rated passenger capacity information of different bus types, the maximum passenger carrying capacity of the station is determined as:

[0140] P r = B r ·P·f fload

[0141] In the formula: P r The unit is the passenger carrying capacity of the station per hour, people / hour; B r The vehicle capacity of the station is vehicles / hour; P is the rated passenger capacity of the bus type, people / vehicle; f fload The vehicle full load rate.

[0142] Specifically, the maximum passenger carrying capacity of the rapid bus corridor in the interval is calculated as: P r = 31069 (people / hour).

[0143] The present application provides a rapid bus corridor passenger carrying capacity cooperative estimation system, comprising:

[0144] The acquisition module is used for collecting all the bus vehicle information and road section information of the target interval in the preset unit time.

[0145] The station information processing module is configured to preset a length of a station in a target section based on bus information, and obtain a preset traffic capacity of the station.

[0146] The downstream information processing module is configured to preset a length of a downstream road section of the station in the target section based on the bus information, and obtain an actual traffic capacity of the downstream road section of the station and an actual traffic capacity of a downstream intersection;

[0147] The judging module is configured to determine that, if the preset traffic capacity of the station is less than or equal to a sum of the actual traffic capacity of the downstream road section of the station and the actual traffic capacity of the downstream intersection, and the length of the target section is equal to a sum of the length of the station and the length of the downstream road section, then the actual traffic capacity of the bus in the target section is the preset traffic capacity of the station.

[0148] The output module is configured to determine that the passenger carrying capacity of the target section is a product of the actual traffic capacity of the bus and a rated passenger carrying capacity.

[0149] In still another embodiment of the present application, a computer device is provided, which comprises a processor and a memory, the memory is configured to store a computer program, the computer program comprises program instructions, and the processor is configured to execute the program instructions stored in the computer storage medium. The processor can be a central processing unit (CPU), and can also be other general-purpose processors, digital signal processors (DSP), application specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The processor is the computing core and control core of the terminal, and is suitable for implementing one or more instructions, and is specifically suitable for loading and executing one or more instructions in the computer storage medium to implement a corresponding method flow or a corresponding function. The processor in the embodiment of the present application can be used for the operation of the fast bus corridor passenger carrying capacity cooperative estimation method.

[0150] In still another embodiment of the present application, the present application also provides a storage medium, specifically a computer readable storage medium (Memory), which is a memory device in a computer device, used for storing programs and data. It can be understood that the computer readable storage medium here can include the built-in storage medium in the computer device, and of course can also include the extended storage medium supported by the computer device. The computer readable storage medium provides a storage space, which stores the operating system of the terminal. In addition, one or more instructions suitable for being loaded and executed by the processor are also stored in the storage space, and these instructions can be one or more computer programs (including program codes). It should be noted that the computer readable storage medium here can be a high-speed RAM memory, or a non-volatile memory such as at least one disk memory. One or more instructions stored in the computer readable storage medium can be loaded and executed by the processor to realize the corresponding steps of the above-mentioned embodiment about the fast bus corridor passenger carrying capacity collaborative estimation method.

[0151] Those skilled in the art should understand that embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the present application can take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROMs, optical storage, etc.) containing computer-usable program code.

[0152] The present application is described with reference to flowcharts and / or block diagrams of the method, device (system), and computer program product according to the embodiments of the present application. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, and the combination of flows and / or blocks in the flowcharts and / or block diagrams can be implemented by computer program instructions. These computer program instructions can be provided to a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to produce a machine, so that the instructions executed by the computer or other programmable data processing devices produce a device that implements the functions specified in the flowcharts and / or block diagrams. Figure 1 The functions specified in one or more flows and / or blocks Figure 1 The means for performing the functions specified in one or more flows and / or blocks.

[0153] These computer program instructions can also be stored in a computer readable storage medium that can guide the computer or other programmable data processing devices to work in a specific manner, so that the instructions stored in the computer readable storage medium produce a product including instruction means, which implements the functions specified in the flowcharts and / or block diagrams. Figure 1 The functions specified in one or more flows and / or blocksFigure 1 the function specified in the one or more blocks.

[0154] These computer program instructions can also be loaded into computer or other programmable data processing devices, so that a series of operation steps are performed on the computer or other programmable data processing devices to generate computer-implemented processes, so that the instructions executed on the computer or other programmable data processing devices provide processes for implementing the flows Figure 1 the flows or the flows and / or blocks Figure 1 the steps of the function specified in the one or more blocks.

[0155] Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand: it can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacement for part or all of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present application.

Claims

1. A collaborative estimation method for passenger carrying capacity of a rapid transit corridor, characterized in that, Includes the following steps: S1: The area adjacent to the platform and including the platform is preset as the target interval. Information on bus operation, road segment and intersection information in the target interval is collected within a preset unit time. S2: Based on bus operation information, preset the station length within the target section and obtain the estimated maximum throughput capacity of the station; S3: Based on the vehicle departure operation information, estimate the length of the downstream road segment within the target section of the station, obtain the maximum traffic capacity of the downstream road segment, and obtain the maximum traffic capacity of the downstream intersection based on the intersection signal timing information; S4: Establish a total road segment length constraint model and constraints for the smooth operation of the BRT corridor to obtain the maximum vehicle capacity of the section. The total road segment length constraint model is: the length of the target section is equal to the sum of the station length and the downstream road segment length. The constraint for smooth operation of the BRT corridor is that the estimated capacity of the station is less than or equal to the sum of the maximum capacity of the downstream road segment and the capacity of the downstream intersection. S5: The passenger carrying capacity of the target section is the product of the maximum vehicle capacity and the rated passenger capacity.

2. The method for collaborative estimation of passenger carrying capacity of a rapid transit corridor according to claim 1, characterized in that, The information on all forms of bus operation in the target section in step S1 includes: information on the type of bus in operation, information on the rated passenger capacity of the bus type, information on the bus arrival interval, information on the stopping time, and information on the total length of the road segment; the information on the road segment and intersection includes information on the length of the road segment, information on the speed limit, and information on the signal timing scheme of the intersection.

3. The method for collaborative estimation of passenger carrying capacity of a rapid transit corridor according to claim 2, characterized in that, In step S2, the station length is the total length occupied by all vehicles waiting to enter; wherein, the vehicles waiting to enter are grouped according to the minimum parking distance and the maximum berth utilization rate, and the minimum arrival interval and actual arrival frequency information between different bus groups are obtained. Based on the vehicle information within the group and the actual arrival frequency information of different bus groups, the estimated throughput capacity of the platform for the station length is obtained.

4. The method for collaborative estimation of passenger carrying capacity of a rapid transit corridor according to claim 1, characterized in that, The maximum traffic capacity of the downstream section of the station is: Taking the train sets in the downstream section of the station as the target, based on the vehicle information in the train set, the vehicle following model, the speed limit of the section, and the vehicle length information, the maximum traffic capacity of the section per unit length is obtained, wherein the number of vehicles in the train set is greater than or equal to 1.

5. The method for collaborative estimation of passenger carrying capacity of a rapid transit corridor according to claim 1, characterized in that, The maximum traffic capacity of the downstream intersection is: Taking the vehicles that have already merged into the downstream intersection as the target, the maximum capacity of the downstream intersection is obtained according to the intersection capacity estimation method.

6. The method for collaborative estimation of passenger carrying capacity of a rapid transit corridor according to claim 1, characterized in that, Both steps S2 and S3 are set with a fluctuation threshold, which is the threshold for buses that arrive abnormally within the target range due to uncontrollable factors entering the target range. The fluctuation threshold is obtained by performing distribution fitting based on bus arrival interval and stop time information, determining the distribution type, and based on the Raida criterion. The station length is then the sum of the station length occupied by the average normal arrival vehicles and the station length occupied by the fluctuation threshold. The downstream road segment length is the sum of the average length of the downstream road segment occupied by normally arriving vehicles and the length occupied by the fluctuation threshold.

7. The method for collaborative estimation of passenger carrying capacity of a rapid transit corridor according to claim 6, characterized in that, The preset unit time is divided into multiple different time granularities to obtain the vehicle traffic capacity of the target section under different time granularities. The largest vehicle traffic capacity in each time granularity is taken as the upper limit of the vehicle traffic capacity in the target section, and the upper limit of the passenger carrying capacity of the target section is obtained accordingly.

8. A collaborative estimation system for passenger carrying capacity of a rapid transit corridor, characterized in that, The method for collaborative estimation of passenger carrying capacity of a rapid transit corridor based on any one of claims 1-7 includes: The data collection module is used to preset the area adjacent to the platform and including the platform as the target interval, and collect information on all buses and road segments traveling in the target interval within a preset unit of time. The station information processing module is used to preset the station length within the target section based on bus vehicle information and obtain the preset station capacity. The downstream information processing module is used to obtain the maximum traffic capacity of the downstream road segment and the maximum traffic capacity of the downstream intersection based on the length of the downstream road segment within the target interval of the station, which is preset based on vehicle information. The judgment module is used to determine the vehicle capacity of the target section as the station's preset capacity if the station's preset capacity is less than or equal to the sum of the downstream road section capacity and the downstream intersection capacity, and the length of the target section is equal to the sum of the station length and the downstream road section length. The output module is used to determine that the passenger carrying capacity of the target section is the product of the vehicle traffic capacity and the rated passenger capacity.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the collaborative estimation method for passenger carrying capacity of the rapid transit corridor as described in any one of claims 1-7.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the steps of the collaborative estimation method for passenger carrying capacity of the rapid transit corridor as described in any one of claims 1-7.

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