A method for splicing highway motor vehicle OD and urban motor vehicle OD
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- HANGZHOU TRANSPORTATION PLANNING & DESIGN INST CO LTD
- Filing Date
- 2025-07-02
- Publication Date
- 2026-06-19
Smart Images
Figure CN120580859B_ABST
Abstract
Description
Technical Field
[0001] This invention belongs to the field of urban traffic planning technology, and in particular relates to a method for splicing highway vehicle OD and urban vehicle OD. Background Technology
[0002] The origin-destination (OD) matrix is fundamental data representing traffic demand and is used in building urban and regional traffic models. The OD matrix records trip volumes between different traffic zones in matrix form. The matrix element T... ij This represents the traffic flow from traffic cell i to traffic cell j.
[0003] Constrained by factors such as the difficulty of data acquisition, traditional urban transportation planning primarily considers intra-city travel origin-destination (OD) networks, typically simplifying entrance and exit nodes to external residential areas without considering the actual exchange volume between the city's external and internal residential areas. Similarly, regional transportation planning often simplifies the city into nodes, constructing an intercity travel OD matrix, but fails to conduct a detailed analysis of the connections between the region and intra-city residential areas.
[0004] With the continuous expansion of urban built-up areas and the increasing degree of regional integration, transportation planning within metropolitan areas has become a focus of attention. Therefore, it is necessary to analyze the transportation connections between external urban areas and internal urban communities to support the construction of transportation models and transportation planning within metropolitan areas. Summary of the Invention
[0005] The purpose of this invention is to overcome the shortcomings of the prior art and provide a method for splicing the OD of highway vehicles and urban vehicles.
[0006] Firstly, a method for splicing highway vehicle OD and urban vehicle OD is provided, including:
[0007] Step 1: Divide the traffic area into urban residential areas, toll station residential areas, and external residential areas;
[0008] Step 2: Calculate the passenger flow ratio between cells based on mobile signaling data;
[0009] Step 3: Calculate the traffic flow between urban and external residential areas based on the direction of entry and exit from the toll station.
[0010] Preferably, step 3 includes:
[0011] Step 3.1: Break down traffic flow from the toll station residential area to the urban residential area;
[0012] Step 3.2: Decompose the traffic flow from the external residential area to the toll station residential area;
[0013] Step 3.3: Calculate the traffic flow from external residential areas to internal residential areas;
[0014] Step 3.4: Break down the traffic flow from residential areas within the city to the toll station area;
[0015] Step 3.5: Separate the traffic flow from the toll station area to the external areas;
[0016] Step 3.6: Calculate the traffic flow from the city's residential area to the external residential area.
[0017] Preferably, step 3.1 includes:
[0018] Step 3.1.1: Decompose the traffic flow from the toll station community to the city community into the actual traffic flow from the toll station community to the city community and the traffic flow from external communities to the city community via the toll station.
[0019] Step 3.1.2: Calculate the traffic flow from external communities to urban communities based on the ratio of passenger flow from external communities to urban communities via toll stations.
[0020] Preferably, step 3.2 includes:
[0021] Step 3.2.1: Decompose the traffic flow from external residential areas to the toll station into the vehicle origin-destination (OD) volume of vehicles from external residential areas to the toll station and the vehicle flow from external residential areas to urban residential areas via the toll station.
[0022] Step 3.2.2: Calculate the vehicle traffic volume from external communities to internal communities based on the ratio of passenger flow from external communities to internal communities via toll stations.
[0023] Preferably, in step 3.3, the traffic flow from the external community to the urban community is calculated based on the traffic flow from the external community to the toll station obtained in step 3.1.2 and the traffic flow from the external community to the urban community obtained in step 3.2.2.
[0024] Preferably, step 3.4 includes:
[0025] Step 3.4.1: Decompose the traffic flow from the urban residential area to the toll station residential area into the actual traffic flow from the urban residential area to the toll station residential area and the traffic flow from the urban residential area to the external residential area via the toll station.
[0026] Step 3.4.2: Calculate the traffic flow from the internal community to the external community based on the ratio of passenger flow from the internal community to the external community via the toll station.
[0027] Preferably, step 3.5 includes:
[0028] Step 3.5.1: Decompose the traffic flow from the toll station community to the external community into the vehicle OD volume from the toll station community to the external community and the vehicle flow from the urban community to the external community via the toll station.
[0029] Step 3.5.2: Calculate the vehicle traffic volume from the internal community to the external community based on the ratio of passenger traffic from the internal community to the external community via the toll station.
[0030] Preferably, in step 3.6, the traffic flow from the urban residential area to the external residential area is calculated based on the traffic flow from the urban residential area to the external residential area via the toll station obtained in step 3.4.2.
[0031] In a second aspect, a system for splicing highway vehicle OD and urban vehicle OD is provided, for performing any of the methods described in the first aspect, including:
[0032] The segmentation module is used to divide the traffic area into urban zones, toll station zones, and external zones;
[0033] The first calculation module is used to calculate the passenger flow ratio between cells based on mobile signaling data;
[0034] The second calculation module calculates the traffic flow between urban and external residential areas based on the direction of entry and exit from the toll station.
[0035] Thirdly, a computer storage medium is provided, wherein a computer program is stored therein; when the computer program is run on a computer, the computer causes the computer to perform any of the methods described in the first aspect.
[0036] The beneficial effects of this invention are as follows: By combining the entry and exit directions of toll stations with the passenger flow distribution ratio of mobile phone signaling data, this invention accurately segments the vehicle traffic flow in and out of urban areas, filling the data gap between urban and regional traffic models. Furthermore, this invention employs a bidirectional traffic flow segmentation algorithm, effectively reducing the error from a single data source and improving the reliability of the calculation results. Attached Figure Description
[0037] Figure 1 This is a schematic diagram of traffic splitting from external cells to intra-city cells provided by the present invention;
[0038] Figure 2 This is a schematic diagram of traffic splitting from internal cell to external cell provided by the present invention;
[0039] Figure 3 This is a schematic diagram of the distribution of toll stations on the Hangzhou Ring Expressway provided by the present invention;
[0040] Figure 4This is a schematic diagram illustrating the division between urban and external residential communities provided by the present invention. Detailed Implementation
[0041] The present invention will be further described below with reference to embodiments. The description of the embodiments below is only for the purpose of helping to understand the present invention. It should be noted that those skilled in the art can make several modifications to the present invention without departing from the principle of the present invention, and these improvements and modifications also fall within the protection scope of the claims of the present invention.
[0042] Example 1:
[0043] Currently, checkpoint data within cities can capture the travel trajectories of motor vehicles, thus obtaining the origin-destination (OD) data for urban travel. Meanwhile, highway toll station data can extract the OD data for "toll station to toll station" highway travel. To analyze traffic connections between external urban areas and internal urban communities, these two datasets need to be concatenated to obtain a complete OD matrix for motor vehicle travel.
[0044] With the development of various traffic data collection technologies, location service data, represented by mobile phone signaling data, can obtain complete origin-destination (OD) data of passenger flow in metropolitan areas, urban agglomerations, and even larger areas. It has been applied to fields such as spatial structure, passenger travel demand, population flow and activity analysis within metropolitan areas or urban agglomerations.
[0045] To this end, this invention utilizes mobile signaling data to stitch together urban motor vehicle travel origin-destination (OD) data obtained from city checkpoints and highway motor vehicle travel origin-destination (OD) data obtained from highway toll stations to obtain a complete regional motor vehicle travel origin-destination (OD) to support urban agglomeration traffic demand analysis.
[0046] Specifically, Embodiment 1 of this application provides a method for splicing highway vehicle OD and urban vehicle OD, which splits the traffic flow of a toll station area into the traffic flow of vehicles entering and exiting the area where the toll station is located and the traffic flow of vehicles entering and exiting through the toll station area. Then, based on the regional passenger flow travel data obtained from mobile phone signaling data, the vehicle flow is split according to the passenger flow ratio to further obtain the vehicle flow data between external urban areas and internal urban areas.
[0047] A method for splicing highway vehicle OD and urban vehicle OD specifically includes:
[0048] Step 1: Divide the traffic area into urban residential areas, toll station residential areas, and external residential areas.
[0049] In step 1, based on the needs of traffic analysis, the city's internal and external areas are divided into several zones. The toll station zone is selected based on the ring road, which can better distinguish between travel in the city's internal and external areas.
[0050] To determine the transportation links between external areas and residential areas within Hangzhou, the geopandas tool was used to process the spatial data. First, by calculating all lines connecting external areas to urban areas, the intersection points of each line with the Hangzhou city boundary were determined.
[0051] Further, the nearest neighbor algorithm is introduced to analyze the distance relationship between the intersection point and each toll station. With 100m as the threshold, the key toll stations most likely to serve as the passage routes from the external area to the urban area are determined, and finally, 1 million OD pairs and the combination of the outer communities are obtained.
[0052] Step 2: Calculate the passenger flow ratio between cells based on mobile signaling data.
[0053] Based on passenger flow OD data collected from mobile signaling data in the Yangtze River Delta region, the proportion of passenger flow between urban and external residential areas to the total passenger flow at the toll station is calculated.
[0054] The original mobile phone signaling data and base station location information are shown in Tables 1 and 2.
[0055] Table 1 Mobile Signaling Data Table
[0056]
[0057] Table 2 Base Station Location Information
[0058]
[0059] The next step can be based on the assumption that "the ratio of vehicle flow to passenger flow is consistent" to estimate the ratio of vehicle flow between urban and external residential areas.
[0060] Step 3: Calculate the traffic flow between urban and external residential areas based on the direction of entry and exit from the toll station.
[0061] In step 3, the traffic flow data of the urban and external residential areas obtained from the inbound and outbound directions of the toll station are merged, and the average value is calculated.
[0062] Specifically, step 3 includes:
[0063] Step 3.1: Decompose the traffic flow from the toll station community to the urban community.
[0064] Step 3.1 includes:
[0065] Step 3.1.1: Decompose the traffic flow from the toll station community to the city community into the actual traffic flow from the toll station community to the city community and the traffic flow from external communities to the city community via the toll station.
[0066] For example, based on checkpoint data, the traffic flow p from toll station area k to urban area i can be obtained.k,i This includes the actual traffic flow q from the toll station area k to the city area i. k,i And the traffic flow q′ from external communities a, a+1, ... to toll station k to community i in the city. a,i ,q′ a+1,i ,…
[0067] For the toll station area k and the city area i, we can obtain:
[0068]
[0069] Step 3.1.2: Calculate the traffic flow from external communities to urban communities based on the ratio of passenger flow from external communities to urban communities via toll stations.
[0070] To estimate q′ a,i Introducing the proportion of passenger flow w′ from mobile signaling data a,i Let f′ be the passenger flow from external area a to urban cell i in the mobile phone signaling data. a,i Then, its proportion of the total passenger flow from toll station k to community i is:
[0071]
[0072] Based on the assumption that "vehicle traffic volume and passenger traffic volume are in the same ratio", the estimated transit traffic volume is:
[0073] q′ a,i =w′ a,i ×p k,i
[0074] Among them, w′ a,i f′ represents the passenger flow ratio from external cell a to internal cell i, obtained from mobile signaling data. a,i f′ represents the passenger flow from external cell a to internal cell i, obtained from mobile signaling data. k,i p represents the passenger flow from toll station cell k to internal cell i, obtained from mobile signaling data. k,i Let q′ represent the traffic flow from toll station zone k to urban zone i, obtained from checkpoint data. a,i This is the initial estimate of traffic flow from external cell a to internal cell i, obtained by splitting the checkpoint data.
[0075] Step 3.2: Decompose the traffic flow from the external community to the toll station community.
[0076] Step 3.2 includes:
[0077] Step 3.2.1: Decompose the traffic flow from external residential areas to the toll station into the vehicle origin-destination (OD) volume of vehicles from external residential areas to the toll station and the vehicle flow from external residential areas to urban residential areas via the toll station.
[0078] Based on highway toll station data, the traffic flow p from external cells a, a+1, ... to toll station cell k can be obtained. a,k For external cell a and toll station cell k, we can obtain:
[0079]
[0080] Where, p a.k Let q represent the traffic flow from external community a to toll station community k. a.k Let q″ represent the OD (Original Demand) of vehicles arriving at toll station k from external community a. a,i The second estimate is the traffic flow of vehicles from external community a to toll station k to community i in the city.
[0081] Step 3.2.2: Calculate the vehicle traffic volume from external communities to internal communities based on the ratio of passenger flow from external communities to internal communities via toll stations.
[0082] Estimate q″ using mobile signaling data a,i .
[0083]
[0084] q″ a,i =w″ a,i ×p a,k
[0085] Among them, w″ a,i f″ represents the passenger flow ratio from external cell a to internal cell i, obtained from mobile signaling data. a,i f″ represents the passenger flow from external cell a to internal cell i, obtained from mobile signaling data. a,k The passenger flow from external cell a to toll station cell k, obtained from mobile signaling data; p a,k This refers to the traffic flow from external cell a to toll station cell k, obtained from the toll station data.
[0086] Step 3.3: Calculate the traffic flow from external residential areas to internal residential areas.
[0087] In step 3.3, the traffic flow from external communities to urban communities is calculated based on the traffic flow from external communities to toll stations obtained in step 3.1.2 and the traffic flow from external communities to urban communities obtained in step 3.2.2.
[0088] Specifically, the traffic flow q from external community a to internal community i is calculated according to the following formula. a.i :
[0089]
[0090] Step 3.4: Break down the traffic flow from the residential area within the city to the toll station area.
[0091] Step 3.4 includes:
[0092] Step 3.4.1: Decompose the traffic flow from the urban residential area to the toll station residential area into the actual traffic flow from the urban residential area to the toll station residential area and the traffic flow from the urban residential area to the external residential area via the toll station.
[0093] For example, similar to the traffic flow from an external community to an internal community, the traffic flow p from internal community i to toll station community k... i,k This includes the actual traffic flow q from residential area i in the city to residential area k at the toll station. i,k And the traffic flow q′ from the urban residential area i through toll station k to the external areas a, a+1, ... i,a ,q′ i,a+1 ,…,Right now
[0094]
[0095] Step 3.4.2: Calculate the traffic flow from the internal community to the external community based on the ratio of passenger flow from the internal community to the external community via the toll station.
[0096] The proportion of passenger flow from urban residential areas to external residential areas at the toll station is calculated using mobile phone signaling data, and the transit flow is estimated.
[0097]
[0098] q′ i,a =w′ i,a ×p i,k
[0099] Among them, w′ i,a f′ represents the passenger flow ratio from urban cell i to external cell a, obtained from mobile signaling data. i,a f′ represents the passenger flow from cell i within the city to cell a outside cell, obtained from mobile signaling data. i,k p represents the passenger flow from cell i within the city to cell k at the toll station, obtained from mobile signaling data. i,k Let q′ represent the traffic flow from community i within the city to community k at the toll station, obtained from the checkpoint data. i,a This is the first estimate of traffic flow from urban community i to external community a, obtained by splitting the traffic flow data based on checkpoint data.
[0100] Step 3.5: Separate the traffic flow from the toll station area to the external area.
[0101] Step 3.5 includes:
[0102] Step 3.5.1: Decompose the traffic flow from the toll station community to the external community into the vehicle OD volume from the toll station community to the external community and the vehicle flow from the urban community to the external community via the toll station.
[0103] For example, based on highway toll station data, we can obtain the traffic flow p from toll station cell k to external cells a, a+1, ... k,a For the toll station cell k and the external cell a, we can obtain:
[0104]
[0105] Where, p k,a Let q represent the traffic flow from toll station community k to external community a. k,a Let q″ be the OD (Original Demand) volume of vehicles arriving at external community a from toll station community k. i,a The second estimate is the traffic flow of vehicles from residential community i within the city to external residential community a via toll station k.
[0106] Step 3.5.2: Calculate the vehicle traffic volume from the internal community to the external community based on the ratio of passenger traffic from the internal community to the external community via the toll station.
[0107] Specifically, q″ is estimated using mobile signaling data. i,a .
[0108]
[0109] q″ i,a =w″ i,a ×p k,a
[0110] Among them, w″ i,a f″ represents the passenger flow ratio from internal cell i to external cell a, obtained from mobile signaling data. i,a The passenger flow from internal cell i to external cell a, obtained from mobile signaling data; f″ k,a The passenger flow from toll station cell k to external cell a, obtained from mobile signaling data; p k,a This refers to the traffic flow from toll station cell k to external cell a, obtained from toll station data.
[0111] Step 3.6: Calculate the traffic flow from the city's residential area to the external residential area.
[0112] In step 3.6, based on the traffic flow from the urban residential area to the external residential area via the toll station and the vehicle traffic flow from the urban residential area to the external residential area via the toll station obtained in step 3.4.2, the traffic flow from the urban residential area to the external residential area is calculated.
[0113] Specifically, the traffic flow q from residential community i within the city to residential community a outside community is calculated according to the following formula. i.a :
[0114]
[0115] For example, the data from toll stations has been anonymized, and the data table after matching is shown in Table 3.
[0116] Table 3 Daily Passenger Flow Data at Toll Station Entrances and Exits
[0117]
[0118] The data from checkpoints within the city has been anonymized, and the resulting data table after matching is shown in Table 4.
[0119] Table 4. Daily Passenger Flow Data at Urban Checkpoints
[0120]
[0121] Example 2:
[0122] Based on Embodiment 1, Embodiment 2 of this application provides a splicing system for highway vehicle OD and urban vehicle OD, comprising:
[0123] The segmentation module is used to divide the traffic area into urban zones, toll station zones, and external zones;
[0124] The first calculation module is used to calculate the passenger flow ratio between cells based on mobile signaling data;
[0125] The second calculation module calculates the traffic flow between urban and external residential areas based on the direction of entry and exit from the toll station.
[0126] It should be noted that the system provided in this embodiment is the system corresponding to the method provided in embodiment 1. Therefore, the parts in this embodiment that are the same as or similar to those in embodiment 1 can be referred to each other, and will not be described again in this application.
Claims
1. A method for splicing highway motor vehicle ODs with urban motor vehicle ODs, characterized by, include: Step 1: Divide the traffic area into urban residential areas, toll station residential areas, and external residential areas; Step 2: Calculate the passenger flow ratio between cells based on mobile signaling data; Step 3: Calculate the traffic flow between urban and external residential areas based on the direction of entry and exit from the toll station; Step 3.1: Break down traffic flow from the toll station residential area to the urban residential area; In step 3.1, the traffic flow from the toll station community to the city community is broken down into the actual traffic flow from the toll station community to the city community and the traffic flow from external communities to the city community via the toll station. Traffic volume of vehicles arriving at the urban cell from the external cell approach toll station The calculation formula is: wherein, is the traffic volume from toll gate cell k to urban cell i obtained from the card data, is the proportion of passenger flow from external cell a to internal cell i obtained from the mobile phone signaling data; Step 3.2: Decompose the traffic flow from the external residential area to the toll station residential area; Step 3.3: Calculate the traffic flow from external residential areas to internal residential areas; In step 3.3, based on the traffic flow from external communities to urban communities via toll stations obtained in step 3.1 and the vehicle traffic flow from external communities to urban communities via toll stations obtained in step 3.2, the traffic flow from external communities to urban communities is calculated. Step 3.4: Break down the traffic flow from residential areas within the city to the toll station area; In step 3.4, the traffic flow from the urban residential area to the toll station residential area is broken down into the actual traffic flow from the urban residential area to the toll station residential area and the traffic flow from the urban residential area to the external residential area via the toll station. Traffic volume of vehicles from an intra-municipal cell passing through a toll station to an extra-municipal cell The calculation formula is: in, The traffic flow from community i within the city to community k at the toll station, obtained from checkpoint data. The ratio of passenger flow from urban cell i to external cell a, obtained from mobile signaling data; Step 3.5: Separate the traffic flow from the toll station area to the external areas; Step 3.6: Calculate the traffic flow from within the city's residential areas to external residential areas; In step 3.6, the traffic flow from the urban residential area to the external residential area is calculated based on the traffic flow from the urban residential area to the external residential area via the toll station obtained in step 3.4 and the traffic flow from the urban residential area to the external residential area via the toll station obtained in step 3.
5.
2. The method for splicing highway vehicle OD and urban vehicle OD according to claim 1, characterized in that, Step 3.1 includes: Step 3.1.1: Decompose the traffic flow from the toll station community to the city community into the actual traffic flow from the toll station community to the city community and the traffic flow from external communities to the city community via the toll station. Step 3.1.2: Calculate the traffic flow from external communities to urban communities based on the ratio of passenger flow from external communities to urban communities via toll stations.
3. The method for splicing highway vehicle OD and urban vehicle OD according to claim 2, characterized in that, Step 3.2 includes: Step 3.2.1: Decompose the traffic flow from external residential areas to the toll station into the vehicle origin-destination (OD) volume of vehicles from external residential areas to the toll station and the vehicle flow from external residential areas to urban residential areas via the toll station. Step 3.2.2: Calculate the vehicle traffic volume from external communities to internal communities based on the ratio of passenger traffic from external communities to internal communities via toll stations.
4. The method for splicing highway vehicle OD and urban vehicle OD according to claim 3, characterized in that, Step 3.4 includes: Step 3.4.1: Decompose the traffic flow from the urban residential area to the toll station residential area into the actual traffic flow from the urban residential area to the toll station residential area and the traffic flow from the urban residential area to the external residential area via the toll station. Step 3.4.2: Calculate the traffic flow from the internal community to the external community based on the ratio of passenger flow from the internal community to the external community via the toll station.
5. The method for splicing highway vehicle OD and urban vehicle OD according to claim 4, characterized in that, Step 3.5 includes: Step 3.5.1: Decompose the traffic flow from the toll station community to the external community into the vehicle OD volume from the toll station community to the external community and the vehicle flow from the urban community to the external community via the toll station. Step 3.5.2: Calculate the traffic flow of motor vehicles from internal communities to external communities via toll stations based on the ratio of passenger flow from internal communities to external communities.
6. A splicing system for highway vehicle OD and urban vehicle OD, characterized in that, For performing the method according to any one of claims 1 to 5, comprising: The segmentation module is used to divide the traffic area into urban zones, toll station zones, and external zones; The first calculation module is used to calculate the passenger flow ratio between cells based on mobile signaling data; The second calculation module calculates the traffic flow between urban and external residential areas based on the direction of entry and exit from the toll station.
7. A computer storage medium, characterized in that, The computer storage medium stores a computer program; when the computer program is run on the computer, it causes the computer to perform the method described in any one of claims 1 to 5.