Methods, systems, and electronic equipment for determining the reliability indicators of urban road network operation

Abstract

This invention discloses a method, system, and electronic equipment for determining the operational reliability indicators of urban road networks, relating to the field of urban road network reliability assessment. The method mainly includes: determining the road segment travel time reliability results based on historical traffic data, road chain-road segment correspondence tables, and road network structure data in line layers; calculating the path travel time reliability index for each path within the urban area based on the road segment travel time reliability results, OD travel data, and urban boundary information; calculating the road network travel time reliability index corresponding to the central urban area road network based on the road segment travel time reliability results and central urban area boundary information; and calculating the commuter travel time reliability index corresponding to the central urban area based on the road segment travel time reliability results, central urban area boundary information, and OD travel data. This invention is applicable to large-scale road networks and nationwide urban road network operational reliability assessment.

Description

Technical Field

[0001] This invention relates to the field of urban road network reliability assessment, and in particular to a method, system, and electronic equipment for determining the operational reliability indicators of urban road networks. Background Technology

[0002] Transportation networks are crucial systems for the stable operation of megacities. However, urban transportation networks are often affected by periodic or random disturbances, leading to traffic problems such as supply chain disruptions and increased personal travel costs. Transportation network reliability, as a probabilistic expression of system risk, is defined as the probability that the transportation network will provide a satisfactory level of service under random disturbances. Among these, travel time reliability is an important indicator of road network reliability, which can be represented by the travel time distribution of vehicles. Real-time estimation of the travel time reliability of the transportation network can support dynamic control and management optimization, thereby further improving the service level of the urban transportation network.

[0003] Operational reliability is a crucial indicator for evaluating road network performance, with travel time reliability being the most widely used. First proposed by Iida in 1999, travel time reliability represents a shift in road network operational reliability research from abstract road networks to those loaded with traffic flow. It no longer solely considers the physical structure of the road network but also takes into account the interaction between travel demand and road network capacity, as well as the travel behavior of road users. In actual road operation, due to various traffic events, driving behaviors, and weather conditions, the operational status of the same road within the same time period often differs. Travel time reliability typically refers to the probability that the travel time between origin-destination (OD) pairs does not exceed a certain threshold.

[0004] The existing methods for calculating road network operational reliability indicators are mostly mathematical analysis methods such as sensitivity analysis, Monte Carlo simulation, and traffic simulation methods. These methods are usually based on travel demand to allocate traffic flow on the road network, obtain the variance of travel time, and then estimate its reliability. They are not suitable for large-scale road networks and nationwide urban road network operational reliability assessments. Summary of the Invention

[0005] The purpose of this invention is to provide a method, system, and electronic equipment for determining the operational reliability indicators of urban road networks, which are intended to be applied to reliability assessments at the city and national levels. The proposed indicators are operable for urban road networks, comparable between different cities, and easy to implement and replicate.

[0006] To achieve the above objectives, the present invention provides the following solution:

[0007] In a first aspect, the present invention provides a method for determining the operational reliability index of an urban road network, comprising:

[0008] Obtain user requirements and the corresponding target data; the target data includes road network structure data in line layers, urban boundary information, historical traffic data, road chain-road segment correspondence table, OD travel data, and central urban area boundary information; the user requirements at least include the scope of operational reliability index analysis;

[0009] Based on historical traffic data, road chain-road segment correspondence tables, and road network structure data in the target data, the reliability results of road segment travel time are determined. The reliability results of road segment travel time include multiple road segments corresponding to the user's needs and the road network line layer corresponding to each time period for each road segment. The road network line layer is a line layer with off-peak travel time, extreme travel time, and road segment travel time reliability indicators.

[0010] Based on the road segment travel time reliability results and the OD travel data and urban boundary information in the target data, calculate the path travel time reliability index corresponding to the shortest path between each OD pair in the urban area.

[0011] Based on the road segment travel time reliability results and the central urban area boundary information in the target data, calculate the road network travel time reliability index corresponding to the central urban area road network;

[0012] Based on the reliability results of travel time for road segments, as well as the central urban area boundary information and OD travel data in the target data, the reliability index of commuting travel time for the central urban area is calculated.

[0013] Secondly, the present invention provides a system for determining the operational reliability indicators of an urban road network, comprising:

[0014] The user information input module is used to obtain user needs and the target data corresponding to those user needs; the target data includes road network structure data in line layers, urban boundary information, historical traffic data, road chain-road segment correspondence table, OD travel data, and central urban area boundary information; the user needs at least include the scope of operational reliability index analysis;

[0015] The road segment travel time reliability result calculation module is used to determine the road segment travel time reliability result based on historical traffic data, road chain-road segment correspondence table, and road network structure data in the target data. The road segment travel time reliability result includes multiple road segments corresponding to the user's needs and a road network line layer corresponding to each time period for each road segment. The road network line layer is a line layer with off-peak travel time, extreme travel time, and road segment travel time reliability indicators.

[0016] The path travel time reliability index calculation module is used to calculate the path travel time reliability index corresponding to the shortest path between each OD pair in the urban area based on the road segment travel time reliability results and the OD travel data and urban boundary information in the target data.

[0017] The road network travel time reliability index calculation module is used to calculate the road network travel time reliability index corresponding to the central urban area road network based on the road segment travel time reliability results and the central urban area boundary information in the target data.

[0018] The commuting time reliability index calculation module is used to calculate the commuting time reliability index corresponding to the central urban area based on the road segment travel time reliability results and the central urban area boundary information and OD travel data in the target data.

[0019] Thirdly, the present invention provides an electronic device, including a memory and a processor, wherein the memory is used to store a computer program, and the processor runs the computer program to cause the electronic device to perform a method for determining the operational reliability index of an urban road network according to the first aspect.

[0020] According to specific embodiments provided by the present invention, the present invention discloses the following technical effects:

[0021] This invention is based on statistical analysis of historical travel times of road segments, taking buffer time as the starting point, to analyze the operational reliability level of road segments in the road network, and to evaluate the operational reliability of critical paths and the road network as a whole. Attached Figure Description

[0022] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0023] Figure 1 A flowchart illustrating the method for determining the operational reliability index of urban road networks provided in an embodiment of the present invention;

[0024] Figure 2 The flowchart for calculating the reliability index of road segment travel time provided by the present invention;

[0025] Figure 3 The flowchart for calculating the path travel time reliability index provided by this invention;

[0026] Figure 4 The flowchart for calculating the road network travel time reliability index provided by this invention;

[0027] Figure 5 The flowchart for calculating the reliability index of commuting travel time provided by the present invention is shown. Detailed Implementation

[0028] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0029] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0030] Example 1

[0031] From an application perspective, the most practical method for studying travel time reliability is based on data statistics. This involves calculating travel times using a large amount of historical data and studying their distribution characteristics, such as percentile travel time, standard deviation, and buffer time. The operational reliability indicators proposed in this embodiment are intended for application in city-level and national-level reliability assessments. The proposed indicators are operable for city-level road networks, comparable across different cities, and easy to implement and replicate.

[0032] like Figure 1 As shown in the figure, this embodiment provides a method for determining the operational reliability index of an urban road network, which includes the following steps.

[0033] Step 100: Obtain user requirements and the target data corresponding to the user requirements; the target data includes road network structure data in line layer, urban boundary information, historical traffic data, road chain-road segment correspondence table, OD travel data, and central urban area boundary information; the user requirements include at least the scope of operational reliability index analysis.

[0034] Step 200: Based on the historical traffic data, road chain-road segment correspondence table, and road network structure data in the target data, determine the road segment travel time reliability result. The road segment travel time reliability result includes multiple road segments corresponding to the user's needs and the road network line layer corresponding to each time period for each road segment. The road network line layer is a line layer with off-peak travel time, extreme travel time, and road segment travel time reliability indicators. The off-peak travel time is the 50th percentile travel time; the extreme travel time is the 95th percentile travel time.

[0035] Step 300: Based on the road segment travel time reliability results and the OD travel data and urban boundary information in the target data, calculate the path travel time reliability index corresponding to the shortest path between each OD pair within the urban area.

[0036] Step 400: Based on the road segment travel time reliability results and the central urban area boundary information in the target data, calculate the road network travel time reliability index corresponding to the central urban area road network.

[0037] Step 500: Based on the road segment travel time reliability results and the central urban area boundary information and OD travel data in the target data, calculate the commuting travel time reliability index corresponding to the central urban area.

[0038] In one preferred embodiment, step 200 specifically includes:

[0039] (1) Statistically analyze the travel time in historical traffic data according to the set time interval to obtain the off-peak travel time and extreme travel time of each road chain. (2) Determine the road chain attribute of each road segment corresponding to the user demand according to the road chain-road segment correspondence table. (3) Match the road chain and road segment according to the road chain-road segment correspondence table and the road chain attribute of each road segment to obtain the length of each road segment in the matched road chain. (4) Allocate the travel time corresponding to the road chain according to the proportion of the length of the road segment in the road chain, and obtain the off-peak travel time and extreme travel time of each road segment. (5) Calculate the road segment travel time reliability index corresponding to each road segment according to the off-peak travel time and extreme travel time of each road segment. (6) Match the off-peak travel time, extreme travel time and road segment travel time reliability index of each road segment with the road network structure data of the line layer to obtain the road segment travel time reliability result.

[0040] Furthermore, the calculation process for the road segment travel time reliability index is as follows: calculate the difference between the extreme travel time and the off-peak travel time, and determine the ratio of the difference to the off-peak travel time as the road segment travel time reliability index.

[0041] One example is as follows: First, historical traffic data is categorized, distinguishing between weekdays, weekends, and holidays. The day is divided into 144 time periods at 10-minute intervals. Travel times for the same road segment over the past quarter are selected within the same time period. The rate of change between the 50th and 95th quantile travel times is calculated to obtain the road segment travel time reliability index, denoted as TTR. r (Travel Time Reliability of r), TTR r The product of the travel time and the 50th percentile travel time is denoted as the buffer time BT. r (Buffer Time of r).

[0042] The formula for calculating the reliability index of road segment travel time is as follows:

[0043]

[0044] Where: t 95％，r，a The 95th percentile of travel time for segment r within the past quarter during time period a; t 50％，r，a This represents the 50th percentile of travel time for road segment r within the past quarter during time period a.

[0045] In one preferred embodiment, step 300 specifically includes:

[0046] (1) Based on the OD travel data and urban boundary information in the target data, search for the shortest path between the origin and destination points within the urban area, i.e., search for the shortest path between each OD pair within the urban area; (2) Filter out the road chain attributes of the road segments in congestion in each shortest path, and use the road chain attributes of the road segments in congestion as keywords to match with the road segment travel time reliability results to obtain the sum of the buffer times of all road segments in congestion under each shortest path; (3) Filter out the road chain attributes of all road segments in each shortest path, and use the road chain attributes of all road segments in each shortest path as keywords to match with the road segment travel time reliability results to obtain the sum of the off-peak travel times of all road segments under each shortest path; (4) Based on the sum of the buffer times of all road segments in congestion under the shortest path and the sum of the off-peak travel times of all road segments under the shortest path, determine the path travel time reliability index corresponding to the shortest path between each OD pair within the urban area. The buffer time for a congested road segment is the difference between the extreme travel time and the off-peak travel time for that segment.

[0047] An example: In a road network S, the shortest path for an OD pair (r, s) is l, and the number of road segments it passes through is set r. l : {r1, r2, r3...r n}, where the road segments that are in a congested state are set r. l，c According to set r l，c The shortest path travel time reliability index (TTR) is obtained by calculating the buffer time of road segments. l The buffer time BT is the product of the 50th percentile travel time of all road segments. l .

[0048] The formula for calculating the path travel time reliability index is:

[0049]

[0050] In one preferred embodiment, step 400 specifically includes:

[0051] (1) Based on the central urban area boundary information in the target data, the road network of the central urban area is screened to determine all road segments in the central urban area that are in a congested state. The road chain attribute of the road segments in the central urban area is used as the keyword to match the road segment travel time reliability results to obtain the road segment travel time reliability index and peak travel time corresponding to all road segments in the central urban area that are in a congested state. (2) Based on the road segment travel time reliability index and peak travel time corresponding to all road segments in the central urban area that are in a congested state, the road network travel time reliability index corresponding to the road network of the central urban area is calculated.

[0052] The process for determining the road network travel time reliability index corresponding to the road network in the central urban area is as follows: calculate the product of the road segment travel time reliability index corresponding to each congested road segment in the central urban area and the off-peak travel time, and sum them up. Then, the ratio of the summation result to the sum of the off-peak travel times corresponding to all congested road segments in the central urban area is determined as the road network travel time reliability index corresponding to the road network in the central urban area.

[0053] An example: In a road network S, the set of all road segments is r. n The road segments that are congested at different times are set r. s，c According to set r s，c The travel time reliability index (TTR) of road network S is obtained from the buffer time of road segments. S The product of the travel times of all road segments and the 50th percentile travel times is denoted as the road network buffer time BT. S .

[0054] The formula for calculating the road network travel time reliability index is:

[0055]

[0056] In one preferred embodiment, step 500 specifically includes:

[0057] (1) Based on the central urban area boundary information and OD travel data in the target data, filter the commuter OD points in the central urban area and map the commuter OD points into the central urban area grid to obtain multiple commuter grid OD pairs; (2) Determine the shortest path and traffic volume between each commuter grid OD pair, and calculate the travel time reliability index of the shortest path corresponding to each commuter grid OD pair based on the shortest path between commuter grid OD pairs; (3) Calculate the product of the traffic volume corresponding to the commuter grid OD pair and the travel time reliability index of the shortest path and sum them to obtain the sum result; (4) Determine the ratio of the sum result to the sum of the traffic volume between all commuter grid OD pairs as the commuter travel time reliability index corresponding to the central urban area.

[0058] For origin-destination (OD) pairs whose purpose is commuting, the path travel time reliability at a specific time is calculated, and a weighted average is performed based on the grid OD quantity to obtain the commuting travel time reliability index, denoted as TTR. C (Travel Time ReliabilityOf Commuter).

[0059] The formula for calculating the reliability index of commuting travel time is:

[0060]

[0061] Where, N odi The traffic volume between the OD pairs of the i-th commuter grid; Let be the travel time reliability index of the shortest path l between the i-th commuting grid OD pairs; n is the total number of grid OD pairs within the commuting distance range being evaluated.

[0062] The present invention will now be illustrated by a specific example. This example includes the following steps.

[0063] (1) Input data, as shown in Table 1, Table 2, Table 3, Table 4, Table 5, Table 6 and Table 7.

[0064] Table 1. Description of Road Network Structure Data in Line Layers

[0065]

[0066]

[0067] Table 2 Example of Road Network Structure Data in Line Layers

[0068]

[0069] Table 3. Road Condition Data and Link-Road Segment Correspondence Table Description

[0070]

[0071]

[0072] Table 4 Example of Road Condition Data

[0073]

[0074] Table 5 Example of Link-Segment Correspondence Table Data

[0075]

[0076]

[0077] Table 6 Description of OD Data Structure

[0078]

[0079] Table 7 Example of OD data

[0080]

[0081] (2) Calculation indicators.

[0082] Among them, such as Figure 2 As shown, the calculation process for the road segment travel time reliability index is as follows:

[0083] 1) Statistical analysis of travel time in historical road condition data from the past quarter was performed at 10-minute intervals to obtain the off-peak travel time (50th percentile) and extreme travel time (95th percentile) for each road chain.

[0084] 2) The key fields of the road chain-road condition correspondence table, namely secondary grid coordinates, road chain category and road chain number, are concatenated to obtain the road chain attribute corresponding to each road segment, namely rticID in Table 8, which is used to match road chains and road segments, and the road chain attribute is used as the key field to match road chains and road segments.

[0085] 3) Assuming that the vehicle travels at a constant speed in the road chain, the travel time of each road segment is allocated based on the proportion of the road segment's length in the road chain, and the off-peak travel time (50th percentile) and extreme travel time (95th percentile) of each road segment are obtained.

[0086] 4) Calculate the road segment travel time reliability index according to the above formula, and match the road segment travel time reliability index with the road network structure data of the line layer to obtain the road network line layer with off-peak travel time, extreme travel time and road segment travel time reliability index, that is, the road segment travel time reliability result.

[0087] like Figure 3 As shown, the calculation process for the path travel time reliability index is as follows:

[0088] 1) Search for the shortest path between the origin and destination, and calculate the time to travel through each segment of the shortest path from the current moment.

[0089] 2) Filter out the road chain attributes of the road segments in congestion in each shortest path, and match the road segment travel time reliability results with the road chain attribute, i.e., rticID in Table 8, as the key. Obtain the 95th percentile and 50th percentile of the travel time of these road segments in this period. The difference between the two is used as the buffer time of the road segment.

[0090] 3) The buffer times of all congested road segments along the route are summed to obtain the buffer time of the route. Then, the route travel time reliability index corresponding to the route is calculated according to the above calculation formula.

[0091] like Figure 4 As shown, the calculation process for the road network travel time reliability index is as follows:

[0092] 1) Filter the road network in the central urban area to identify expressways, arterial roads, and secondary arterial roads, and identify the set of road segments that are in a congested state.

[0093] 2) At 10-minute intervals, obtain the travel time reliability of road segments in the road network that are in a congested state in each time period based on the road segment travel time reliability results.

[0094] 3) The proportion of the off-peak travel time (50th percentile) of each congested road segment in the total off-peak travel time of all congested road segments is used as the weight to calculate the weighted average of the travel time reliability of each congested road segment, thus obtaining the road network travel time reliability index corresponding to the road network in that time period.

[0095] like Figure 5 The following is the calculation process for the commuting time reliability index:

[0096] 1) Identify commuting trips within a certain distance range based on Baidu OD travel data, map commuting OD points to a pre-defined 2km grid, and count the OD quantity between each pair of commuting grid OD pairs.

[0097] 2) Combine road network data to search for the shortest path between these commuter grid OD pairs, and obtain the path travel time reliability between each commuter grid OD pair based on the path reliability calculation results.

[0098] 3) Using the proportion of travel volume between each pair of commuter grid ODs in all commuter ODs selected in 1) as the weight, the reliability of the shortest path travel time between each grid OD is weighted and averaged to obtain the total commuting time.

[0099] (3) Data output, as shown in Tables 8, 9, 10 and 11.

[0100] Table 8 Example of Road Segment Travel Time Reliability Data

[0101]

[0102] Table 9. Examples of Path Travel Time Reliability Data

[0103]

[0104] Table 10 Examples of Road Network Travel Time Reliability Data

[0105]

[0106]

[0107] Table 11 Examples of Commute Travel Time Reliability Data

[0108]

[0109] (4) Application of indicators.

[0110] Application of road segment travel time reliability index: Based on the road segment travel time reliability results calculated in Table 8, road segments with low travel time reliability in the road network can be identified, that is, road segments where the travel time during peak hours increases by a large percentage compared to the travel time during off-peak hours. After identifying these road segments, they need to be given special attention in the construction and management of the road segments, and bottleneck road segments should be optimized and improved.

[0111] Application of route travel time reliability index: According to Table 9, the shortest path between OD pairs and its travel time reliability can be obtained. For travel routes with low operational reliability, in addition to optimizing and improving road traffic facilities, it is important to focus on avoiding large-scale traffic flow input during peak periods through demand regulation.

[0112] Application of the road network travel time reliability index: According to the calculation results of the road network travel time reliability index in Table 10, the larger the index, the greater the fluctuation of the travel time during peak hours compared with the travel time during off-peak hours. It can be used for horizontal comparison between road networks in different cities. The larger the index, the lower the travel time reliability of the city's road network. It is necessary to focus on improving traffic bottlenecks, regulating demand, and ensuring the smooth operation of the road network in the road network planning.

[0113] Application of the Commute Travel Time Reliability Index: According to the calculation results of the Commute Travel Time Reliability Index in Table 11, the larger the index, the lower the reliability of commuting travel time within a certain distance range in the road network. It can be used to identify commuting corridors and make horizontal comparisons between different urban road networks. Cities with larger indices indicate that the commuting operation reliability of the city's road network is worse. It is necessary to focus on ensuring the smooth flow of commuting corridors in road network planning, vigorously develop public transportation, and optimize the urban residential and employment layout.

[0114] The calculation process involves importing and processing urban road network data, traffic condition data, road chain-road segment correspondence tables, and OD travel data to obtain and display the road network time reliability index. The calculation method for the road network time reliability index mainly includes five specific functions: selecting the index analysis scope (by administrative division), selecting the analysis period, setting the layer style, selecting to view the attributes of a specific road segment (clicking to view the segment's ID, road name, region, travel time reliability, 95th percentile travel time, 50th percentile travel time, etc.), and the travel time reliability during peak hours of the road network.

[0115] During the indicator calculation process, the obtained path travel time reliability index is displayed. The path travel time reliability calculation method includes five specific functions: selecting the indicator analysis scope (by administrative division), selecting the origin and destination locations (origin, destination, waypoints), selecting the analysis period, selecting to view the shortest path attributes (click to view the shortest path between the origin and destination, the path buffer time of the shortest path, etc.), and selecting to view the second shortest path attributes (click to view the shortest path between the origin and destination, the path buffer time of the shortest path, etc.).

[0116] During the calculation process, the commuting time reliability index is displayed. The commuting time reliability index calculation method includes eight specific functions: selecting the index analysis scope (divided by administrative region), selecting commuting distance, selecting travel date, selecting travel time period, selecting the origin and attraction points of the trip, setting layer style, selecting analysis index, and clicking to view commuting OD list attributes (OD number, commuting distance, OD quantity, origin grid, destination grid, path buffer time).

[0117] Example 2

[0118] In order to implement the method corresponding to Embodiment 1 above and achieve the corresponding functions and technical effects, a system for determining the reliability index of urban road network operation is provided below.

[0119] This embodiment provides a system for determining the operational reliability indicators of an urban road network, comprising:

[0120] The user information input module is used to obtain user needs and the target data corresponding to the user needs; the target data includes road network structure data in line layer, urban boundary information, historical traffic data, road chain-road segment correspondence table, OD travel data, and central urban area boundary information; the user needs include at least the scope of operational reliability index analysis.

[0121] The road segment travel time reliability result calculation module is used to determine the road segment travel time reliability result based on historical traffic data, road chain-road segment correspondence table, and road network structure data in the target data. The road segment travel time reliability result includes multiple road segments corresponding to the user's needs and road network line layers corresponding to each time period for each road segment. The road network line layer is a line layer with off-peak travel time, extreme travel time, and road segment travel time reliability indicators.

[0122] The route travel time reliability index calculation module is used to calculate the route travel time reliability index for each route within the urban area based on the route travel time reliability results, OD travel data and urban boundary information in the target data.

[0123] The road network travel time reliability index calculation module is used to calculate the road network travel time reliability index corresponding to the central urban area road network based on the road segment travel time reliability results and the central urban area boundary information in the target data.

[0124] The commuting time reliability index calculation module is used to calculate the commuting time reliability index corresponding to the central urban area based on the road segment travel time reliability results and the central urban area boundary information and OD travel data in the target data.

[0125] Example 3

[0126] This invention provides an electronic device including a memory and a processor. The memory stores a computer program, and the processor runs the computer program to enable the electronic device to execute a method for determining the operational reliability index of an urban road network according to Embodiment 1.

[0127] Alternatively, the aforementioned electronic device may be a server.

[0128] In addition, embodiments of the present invention also provide a computer-readable storage medium storing a computer program that, when executed by a processor, implements a method for determining the operational reliability index of an urban road network according to Embodiment 1.

[0129] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For the systems disclosed in the embodiments, since they correspond to the methods disclosed in the embodiments, the descriptions are relatively simple; relevant parts can be referred to the method section.

[0130] This document uses specific examples to illustrate the principles and implementation methods of the present invention. The descriptions of the above embodiments are only for the purpose of helping to understand the method and core ideas of the present invention. Furthermore, those skilled in the art will recognize that, based on the ideas of the present invention, there will be changes in the specific implementation methods and application scope. Therefore, the content of this specification should not be construed as a limitation of the present invention.

Claims

1. A method for determining the operational reliability index of an urban road network, characterized in that, include: Obtain user requirements and the corresponding target data; the target data includes road network structure data in line layers, urban boundary information, historical traffic data, road chain-road segment correspondence table, OD travel data, and central urban area boundary information; the user requirements at least include the scope of operational reliability index analysis; Based on historical traffic data, road chain-road segment correspondence tables, and road network structure data in the target data, the reliability results of road segment travel time are determined. The reliability results of road segment travel time include multiple road segments corresponding to the user's needs and the road network line layer corresponding to each time period for each road segment. The road network line layer is a line layer with off-peak travel time, extreme travel time, and road segment travel time reliability indicators. Based on the road segment travel time reliability results and the OD travel data and urban boundary information in the target data, calculate the path travel time reliability index corresponding to the shortest path between each OD pair in the urban area. Based on the road segment travel time reliability results and the central urban area boundary information in the target data, calculate the road network travel time reliability index corresponding to the central urban area road network; Based on the reliability results of travel time for road segments and the central urban area boundary information and OD travel data in the target data, calculate the reliability index of commuting travel time for the central urban area. Based on the reliability results of road segment travel time and the central urban area boundary information and OD travel data in the target data, the reliability index of commuting travel time for the central urban area is calculated, specifically including: Based on the central urban area boundary information and OD travel data in the target data, commuter OD points in the central urban area are filtered and mapped to the central urban area grid to obtain multiple commuter grid OD pairs; Determine the shortest path and traffic volume between each commuter grid OD pair, and calculate the travel time reliability index of the shortest path corresponding to each commuter grid OD pair based on the shortest path between commuter grid OD pairs. Calculate the product of the traffic volume corresponding to the commuter grid OD pair and the travel time reliability index of the shortest path, and sum them to obtain the summation result; The ratio of the summation result to the sum of traffic volumes between all commuter grid OD pairs is determined as the commuter travel time reliability index for the central urban area.

2. The method for determining the operational reliability index of an urban road network according to claim 1, characterized in that, Based on historical traffic data, road chain-road segment correspondence tables, and road network structure data in the target data, the reliability results of road segment travel time are determined, specifically including: According to the set time interval, the travel time in the historical road condition data is statistically analyzed to obtain the off-peak travel time and extreme travel time for each road link; Based on the link-segment mapping table, determine the link attribute of each segment corresponding to the user requirement; Based on the road chain-road segment mapping table and the road chain attributes of each road segment, the road chains and road segments are matched to obtain the length of each road segment in the matched road chain; The travel time corresponding to each road segment is allocated based on the proportion of its length in the road chain, and the off-peak travel time and extreme travel time of each road segment are obtained. Calculate the road segment travel time reliability index for each road segment based on the off-peak travel time and extreme travel time of the road segment; The off-peak travel time, extreme travel time, and road segment travel time reliability index of each road segment are matched with the road network structure data of the line layer to obtain the road segment travel time reliability results.

3. The method for determining the operational reliability index of an urban road network according to claim 2, characterized in that, The calculation process for the road segment travel time reliability index is as follows: The difference between extreme travel time and off-peak travel time is calculated, and the ratio of the difference to the off-peak travel time is determined as the reliability index of road segment travel time.

4. The method for determining the operational reliability index of an urban road network according to claim 1, characterized in that, Based on the road segment travel time reliability results and the OD travel data and urban boundary information in the target data, the path travel time reliability index corresponding to the shortest path between each OD pair within the urban area is calculated, specifically including: Based on the OD travel data and urban boundary information in the target data, search for the shortest path between each OD pair within the urban area; The path chain attributes of the congested road segments in each shortest path are filtered out, and the path chain attributes of the congested road segments are used as keywords to match the road segment travel time reliability results, so as to obtain the sum of the buffer times of all congested road segments under each shortest path. The path chain attributes of all road segments in each shortest path are filtered out, and the path chain attributes of all road segments in each shortest path are used as keywords to match the road segment travel time reliability results to obtain the sum of the off-peak travel time of all road segments under each shortest path. Based on the sum of the buffer times of all congested road segments under the shortest path and the sum of the off-peak travel times of all road segments under the shortest path, the path travel time reliability index corresponding to the shortest path between each OD pair in the urban area is determined.

5. The method for determining the operational reliability index of an urban road network according to claim 4, characterized in that, The buffer time for a congested road segment is the difference between the extreme travel time and the off-peak travel time for that segment.

6. The method for determining the operational reliability index of an urban road network according to claim 1, characterized in that, Based on the road segment travel time reliability results and the central urban area boundary information in the target data, the road network travel time reliability index corresponding to the central urban area road network is calculated, specifically including: Based on the central urban area boundary information in the target data, the road network of the central urban area is filtered to identify all road segments in the central urban area that are congested. The road chain attribute of the road segments in the central urban area is used as the keyword to match the road segment travel time reliability results to obtain the road segment travel time reliability index and off-peak travel time corresponding to all road segments in the central urban area that are congested. Based on the road segment travel time reliability index and off-peak travel time corresponding to all congested road segments in the central urban area, the road network travel time reliability index corresponding to the road network in the central urban area is calculated.

7. The method for determining the operational reliability index of an urban road network according to claim 6, characterized in that, The process for determining the road network travel time reliability index corresponding to the road network in the central urban area is as follows: The product of the road segment travel time reliability index and the off-peak travel time for each congested road segment in the central urban area is calculated and summed. The ratio of the summation to the sum of the off-peak travel times for all congested road segments in the central urban area is then used as the road network travel time reliability index for the central urban area road network.

8. A system for determining the operational reliability indicators of an urban road network, characterized in that, include: The user information input module is used to obtain user needs and the target data corresponding to those user needs; the target data includes road network structure data in line layers, urban boundary information, historical traffic data, road chain-road segment correspondence table, OD travel data, and central urban area boundary information; the user needs at least include the scope of operational reliability index analysis; The road segment travel time reliability result calculation module is used to determine the road segment travel time reliability result based on historical traffic data, road chain-road segment correspondence table, and road network structure data in the target data. The road segment travel time reliability result includes multiple road segments corresponding to the user's needs and a road network line layer corresponding to each time period for each road segment. The road network line layer is a line layer with off-peak travel time, extreme travel time, and road segment travel time reliability indicators. The path travel time reliability index calculation module is used to calculate the path travel time reliability index corresponding to the shortest path between each OD pair in the urban area based on the road segment travel time reliability results and the OD travel data and urban boundary information in the target data. The road network travel time reliability index calculation module is used to calculate the road network travel time reliability index corresponding to the central urban area road network based on the road segment travel time reliability results and the central urban area boundary information in the target data. The commuting time reliability index calculation module is used to calculate the commuting time reliability index corresponding to the central urban area based on the road segment travel time reliability results and the central urban area boundary information and OD travel data in the target data. Based on the reliability results of road segment travel time and the central urban area boundary information and OD travel data in the target data, the reliability index of commuting travel time for the central urban area is calculated, specifically including: Based on the central urban area boundary information and OD travel data in the target data, commuter OD points in the central urban area are filtered and mapped to the central urban area grid to obtain multiple commuter grid OD pairs; Determine the shortest path and traffic volume between each commuter grid OD pair, and calculate the travel time reliability index of the shortest path corresponding to each commuter grid OD pair based on the shortest path between commuter grid OD pairs. Calculate the product of the traffic volume corresponding to the commuter grid OD pair and the travel time reliability index of the shortest path, and sum them to obtain the summation result; The ratio of the summation result to the sum of traffic volumes between all commuter grid OD pairs is determined as the commuter travel time reliability index for the central urban area.

9. An electronic device, characterized in that, The device includes a memory and a processor, wherein the memory stores a computer program and the processor runs the computer program to enable the electronic device to perform a method for determining the reliability index of urban road network operation according to any one of claims 1 to 7.

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