Road motor vehicle OD and city motor vehicle OD splicing method

Abstract

The invention relates to a road motor vehicle OD and city motor vehicle OD splicing method. The method comprises the steps that a traffic area is divided into an urban community, a toll station community and an external community; calculating a passenger flow volume proportion between the cells based on the mobile phone signaling data; and calculating the traffic flow between the urban communities and the external communities in combination with the entrance and exit directions of the toll stations. The method has the beneficial effects that the motor vehicle flow of the inner and outer regions of the city is accurately split by combining the in-out direction of the toll station and the passenger flow distribution proportion of the mobile phone signaling data, and the data blank between the city and the regional traffic model is filled. Moreover, a bidirectional flow splitting algorithm is adopted, so that the error of a single data source is effectively reduced, and the reliability of a calculation result is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of urban traffic planning, and in particular relates to a method for splicing a highway motor vehicle OD and a city motor vehicle OD. Background Art

[0002] The Origin-Destination (OD) matrix is ​​the basic data for characterizing traffic demand and is used in the construction of urban and regional traffic models. The OD matrix uses a matrix form to record the travel volume between different traffic zones. ij Represents the flow from traffic area i to traffic area j.

[0003] Due to various factors, including data acquisition difficulties, traditional urban transportation planning primarily considers internal city travel OD, often simplifying entry and exit nodes into external communities without considering the actual exchange volume between the city's exterior and interior communities. Regional transportation planning, on the other hand, often reduces cities to nodes and constructs intercity travel OD matrices, failing to provide a detailed analysis of the connections between regions and internal communities.

[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 hot topic. Therefore, it is necessary to analyze the transportation connections between urban areas outside the city and urban communities within the city to support the construction of transportation models and transportation planning within the metropolitan area. Summary of the Invention

[0005] The purpose of the present invention is to overcome the deficiencies in the prior art and provide a method for splicing a highway motor vehicle OD with an urban motor vehicle OD.

[0006] In a first aspect, a method for splicing the OD of a highway vehicle and the OD of a city vehicle is provided, comprising:

[0007] Step 1: Divide the traffic area into urban areas, toll station areas, and external areas;

[0008] Step 2: Calculate the passenger flow ratio between cells based on mobile phone signaling data;

[0009] Step 3: Calculate the traffic volume between the inner-city communities and the outer-city communities based on the ingress and egress directions of the toll station.

[0010] Preferably, step 3 includes:

[0011] Step 3.1: Split the traffic flow from the toll station area to the city area;

[0012] Step 3.2: Split the traffic flow from the external community to the toll station community;

[0013] Step 3.3, calculate the traffic flow from external communities to urban communities;

[0014] Step 3.4: Split the traffic flow from the urban area to the toll station area;

[0015] Step 3.5: Split the traffic flow from the toll station area to the external area;

[0016] Step 3.6: Calculate the traffic flow from inner-city communities to outer-city communities.

[0017] Preferably, step 3.1 includes:

[0018] Step 3.1.1, split 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: Based on the passenger flow ratio from external communities to urban communities, calculate the vehicle flow from external communities to urban communities via toll stations.

[0020] Preferably, step 3.2 includes:

[0021] Step 3.2.1, split the traffic flow from the external community to the toll station community into the motor vehicle OD volume from the external community to the toll station community and the motor vehicle flow from the external community to the urban community via the toll station;

[0022] Step 3.2.2: Based on the passenger flow ratio from external communities to internal communities, calculate the motor vehicle flow from external communities to urban 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 urban community via the toll station obtained in step 3.1.2 and the motor vehicle flow from the external community to the urban community via the toll station obtained in step 3.2.2.

[0024] Preferably, step 3.4 includes:

[0025] Step 3.4.1: Split the traffic flow from the inner-city community to the toll station community into the actual traffic flow from the inner-city community to the toll station community and the traffic flow from the inner-city community to the external community via the toll station;

[0026] Step 3.4.2: Calculate the traffic volume from inner-city communities to outer-city communities via toll stations based on the passenger volume ratio from inner-city communities to outer-city communities.

[0027] Preferably, step 3.5 includes:

[0028] Step 3.5.1, split the traffic flow from the toll station community to the external community into the motor vehicle OD volume from the toll station community to the external community and the motor vehicle flow from the inner-city community to the external community via the toll station;

[0029] Step 3.5.2: Based on the passenger flow ratio from the inner community to the outer community, calculate the motor vehicle flow from the inner community to the outer community via the toll station.

[0030] Preferably, in step 3.6, the traffic flow from the urban community to the external community via the toll station and the motor vehicle flow from the urban community to the external community via the toll station obtained in step 3.4.2 are used to calculate the traffic flow from the urban community to the external community.

[0031] In a second aspect, a system for splicing highway vehicle ODs and urban vehicle ODs is provided, configured to execute any of the methods described in the first aspect, including:

[0032] A division module is used to divide the traffic area into urban areas, toll station areas and external areas;

[0033] The first calculation module is used to calculate the passenger flow ratio between cells based on mobile phone signaling data;

[0034] The second calculation module calculates the traffic volume between the inner-city communities and the outer communities based on the entry and exit directions of the toll station.

[0035] According to a third aspect, a computer storage medium is provided, wherein a computer program is stored in the computer storage medium; when the computer program is executed on a computer, the computer executes any one of the methods described in the first aspect.

[0036] The present invention has the following beneficial effects: By combining the ingress and egress directions of toll booths and the passenger flow distribution ratios derived from mobile phone signaling data, it accurately segments motor vehicle traffic within and outside a city, filling the data gap between urban and regional traffic models. Furthermore, the invention employs a bidirectional traffic splitting algorithm, effectively reducing the error associated with a single data source and improving the reliability of the calculation results. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 This is a schematic diagram of traffic splitting from external cells to urban cells provided by the present invention;

[0038] Figure 2 This is a schematic diagram of traffic splitting from an internal cell to an 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 of the division of urban communities and external communities provided by the present invention. DETAILED DESCRIPTION

[0041] The present invention will be further described below with reference to the following examples. The following examples are provided only to facilitate understanding of the present invention. It should be noted that, without departing from the principles of the present invention, it is possible for a person skilled in the art to make various modifications to the present invention, and such improvements and modifications fall within the scope of the claims of the present invention.

[0042] Example 1:

[0043] Currently, data from checkpoints within cities can capture vehicle travel trajectories within the city, thereby deriving the vehicle's travel OD within the city. Highway toll station data, on the other hand, can extract the "toll station to toll station" OD of highway vehicle travel. To analyze the traffic connections between urban areas outside the city and urban communities within the city, it is necessary to combine these two data to obtain a complete vehicle travel OD matrix.

[0044] With the development of various traffic data collection technologies, location service data represented by mobile phone signaling data can obtain complete travel OD of passenger flow in urban circles, urban clusters and even larger areas. It has been applied to the spatial structure, passenger travel demand, population flow and activity analysis of urban circles or urban clusters.

[0045] To this end, the present invention uses mobile phone signaling data to splice the urban motor vehicle travel OD obtained from the city checkpoint data and the highway motor vehicle travel OD obtained from the highway toll station data to obtain the complete motor vehicle travel OD in the regional scope to support the traffic demand analysis of the metropolitan area.

[0046] Specifically, Example 1 of the present application provides a method for concatenating highway vehicle ODs with urban vehicle ODs. This method splits the traffic flow in a toll station area into the traffic flow entering and exiting the area where the toll station is located, and the traffic flow entering and exiting the area through the toll station. Then, based on regional passenger flow data obtained from mobile phone signaling data, the vehicle flow is split according to passenger flow ratios, further generating vehicle flow data between urban areas outside the city and urban areas within the city.

[0047] A method for splicing a highway vehicle OD and a city vehicle OD specifically includes:

[0048] Step 1: Divide the traffic area into urban areas, toll station areas, and external areas.

[0049] In step 1, based on the needs of traffic analysis, the inner and outer areas of the city are divided into several small areas. The toll station areas are selected based on the ring road around the city, which can better distinguish between travel inside and outside the city.

[0050] To determine the transportation connections between external areas and Hangzhou's inner districts, we used the Geopandas tool to process the spatial data. First, we calculated all the lines connecting external areas to inner districts and determined the intersection points of each line with the Hangzhou city boundary.

[0051] The nearest neighbor algorithm was further introduced to analyze the distance relationship between the intersection and each toll station. With a threshold of 100m, the key toll stations most likely to serve as the passage from the external area to the urban area were determined, and finally 1 million combinations of OD pairs and peripheral cells were obtained.

[0052] Step 2: Calculate the passenger flow ratio between cells based on mobile phone signaling data.

[0053] Based on the passenger flow OD data obtained from mobile phone signaling data in the Yangtze River Delta, the proportion of passenger flow between urban areas and external areas to the total passenger flow at the toll station is calculated.

[0054] The original mobile phone signaling data and base station location information tables are shown in Table 1 and Table 2.

[0055] Table 1 Mobile phone signaling data table

[0056]

[0057] Table 2 Base station location information table

[0058]

[0059] The subsequent steps can be to estimate the vehicle flow ratio between the inner-city communities and the outer-city communities based on the assumption that the vehicle flow ratio is consistent with the passenger flow ratio.

[0060] Step 3: Calculate the traffic volume between the inner-city communities and the outer-city communities based on the ingress and egress directions of the toll station.

[0061] In step 3, the traffic flow data of the inner-city and outer-city areas obtained from the ingress and egress directions of the toll station are integrated to calculate the average value.

[0062] Specifically, step 3 includes:

[0063] Step 3.1: Split the traffic flow from the toll station area to the city area.

[0064] Step 3.1 includes:

[0065] Step 3.1.1: Split 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 the external community to the city community via the toll station.

[0066] For example, based on the checkpoint data, the traffic flow p from the toll station community k to the city community i can be obtained.k,i , which includes the actual traffic flow q from toll station community k to urban community i k,i , and the traffic flow q′ from external communities a, a+1, … to community i in the city via toll station k a,i ,q′ a+1,i ,…

[0067] For the toll station community k and the city community i, we can get:

[0068]

[0069] Step 3.1.2: Based on the passenger flow ratio from external communities to urban communities, calculate the vehicle flow from external communities to urban communities via toll stations.

[0070] To estimate q′ a,i , introduce the passenger flow ratio w′ in the mobile phone signaling data a,i Assume that the passenger flow from external area a to urban area i in the mobile phone signaling data is f′ 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 the ratio of vehicle traffic to passenger traffic is the same, the estimated transit traffic is:

[0073] q′ a,i =w′ a,i ×p k,i

[0074] Among them, w′ a,i is the passenger flow ratio from external cell a to internal cell i obtained from mobile phone signaling data; f′ a,i is the passenger flow from external cell a to internal cell i obtained from mobile phone signaling data; f′ k,i is the passenger flow from toll station cell k to internal cell i obtained from mobile phone signaling data; p k,i is the traffic flow from toll station area k to urban area i obtained from the checkpoint data; q′ a,i is the traffic flow from the external cell a to the internal cell i obtained based on the checkpoint data split (first estimate).

[0075] Step 3.2: Split the traffic flow from the external community to the toll station community.

[0076] Step 3.2 includes:

[0077] Step 3.2.1: Split the traffic flow from external communities to toll station communities into the OD volume of motor vehicles from external communities to toll station communities and the traffic volume of motor vehicles from external communities to urban communities via toll stations.

[0078] According to the highway toll station data, we can get the traffic flow p from the external cells a, a+1, ... to the toll station cell k a,k For the external cell a and the toll station cell k, we can get:

[0079]

[0080] Among them, p a.k is the traffic flow from external community a to toll station community k, q a.k is the OD volume of motor vehicles from external cell a to toll station cell k, q″ a,i is the motor vehicle flow from external community a to urban community i via toll station k (second estimated value).

[0081] Step 3.2.2: Based on the passenger flow ratio from external communities to internal communities, calculate the motor vehicle flow from external communities to urban communities via toll stations.

[0082] Estimating q″ using mobile phone signaling data a,i .

[0083]

[0084] q″ a,i =w″ a,i ×p a,k

[0085] Among them, w″ a,i is the passenger flow ratio from external cell a to internal cell i obtained from mobile phone signaling data; f″ a,i is the passenger flow from external cell a to internal cell i obtained from mobile phone signaling data; f″ a,k is the passenger flow from external cell a to toll station cell k obtained from mobile phone signaling data; p a,k is 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 volume from external communities to urban communities.

[0087] 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 urban community via the toll station obtained in step 3.1.2 and the motor vehicle flow from the external community to the urban community via the toll station obtained in step 3.2.2.

[0088] Specifically, the traffic flow q from the external community a to the urban community i is calculated according to the following formula: a.i :

[0089]

[0090] Step 3.4: Split the traffic flow from the urban area to the toll station area.

[0091] Step 3.4 includes:

[0092] Step 3.4.1: Split the traffic flow from the urban community to the toll station community into the actual traffic flow from the urban community to the toll station community and the traffic flow from the urban community to the external community via the toll station.

[0093] For example, similar to the traffic flow from the external community to the inner-city community, the traffic flow from the inner-city community i to the toll station community k is p i,k , including the actual traffic flow q from community i in the city to community k at the toll station i,k , and the traffic flow q′ from the urban community i to the external areas a, a+1,… via the toll station k i,a ,q′ i,a+1 ,…,Right now

[0094]

[0095] Step 3.4.2: Calculate the traffic volume from inner-city communities to outer-city communities via toll stations based on the passenger volume ratio from inner-city communities to outer-city communities.

[0096] Mobile phone signaling data is used to calculate the proportion of passenger flow from inner-city communities to outer-city communities in the total passenger flow at the toll station and to estimate the transit flow.

[0097]

[0098] q′ i,a =w′ i,a ×p i,k

[0099] Among them, w′ i,a is the passenger flow ratio from the inner-city cell i to the outer-city cell a obtained from the mobile phone signaling data; f′ i,a is the passenger flow from the inner-city cell i to the outer-city cell a obtained from the mobile phone signaling data; f′ i,k is the passenger flow from the city community i to the toll station community k obtained from the mobile phone signaling data; p i,k is the traffic flow from the urban area i to the toll station area k obtained from the checkpoint data; q′ i,a is the traffic flow from the inner-city community i to the outer community a (first estimation value) obtained based on the checkpoint data split.

[0100] Step 3.5: Split the traffic flow from the toll station area to the external area.

[0101] Step 3.5 includes:

[0102] Step 3.5.1: Split the traffic flow from the toll station community to the external community into the motor vehicle OD volume from the toll station community to the external community and the motor vehicle flow from the urban community to the external community via the toll station.

[0103] For example, based on the highway toll station data, we can get the traffic flow p from the toll station cell k to the external cells a, a+1, ... k,a For the toll station cell k and the external cell a, we can get:

[0104]

[0105] Among them, p k,a is the traffic flow from toll station community k to external community a, q k,a is the OD volume of motor vehicles from toll station area k to external area a, q″ i,a is the motor vehicle flow from the inner-city community i to the outer community a via the toll station k (second estimated value).

[0106] Step 3.5.2: Based on the passenger flow ratio from the inner community to the outer community, calculate the motor vehicle flow from the inner community to the outer community via the toll station.

[0107] Specifically, q″ is estimated using mobile phone signaling data. i,a .

[0108]

[0109] q″ i,a =w″ i,a ×p k,a

[0110] Among them, w″ i,a is the passenger flow ratio from inner cell i to outer cell a obtained from mobile phone signaling data; f″ i,a is the passenger flow from inner cell i to outer cell a obtained from mobile phone signaling data; f″ k,a is the passenger flow from toll station cell k to external cell a obtained from mobile phone signaling data; p k,a is the traffic flow from toll station area k to external area a obtained from toll station data.

[0111] Step 3.6: Calculate the traffic flow from inner-city communities to outer-city communities.

[0112] In step 3.6, the traffic flow from the inner-city community to the outer-city community via the toll station and the motor vehicle flow from the inner-city community to the outer-city community via the toll station obtained in step 3.4.2 are used to calculate the traffic flow from the inner-city community to the outer-city community.

[0113] Specifically, the traffic flow q from the inner-city community i to the outer community a is calculated according to the following formula: i.a :

[0114]

[0115] For example, the toll station data is desensitized, and the data table after matching processing is shown in Table 3.

[0116] Table 3 Daily passenger flow data of toll station entrances and exits

[0117]

[0118] The data from the checkpoints in the urban area have been desensitized and matched, as shown in Table 4.

[0119] Table 4 Average daily passenger flow at urban checkpoints

[0120]

[0121] Example 2:

[0122] Based on Example 1, Example 2 of the present application provides a system for splicing a highway vehicle OD and a city vehicle OD, including:

[0123] A division module is used to divide the traffic area into urban areas, toll station areas and external areas;

[0124] The first calculation module is used to calculate the passenger flow ratio between cells based on mobile phone signaling data;

[0125] The second calculation module calculates the traffic volume between the inner-city communities and the outer communities based on the entry and exit directions of the toll station.

[0126] It should be noted that the system provided in this embodiment is a system corresponding to the method provided in Example 1. Therefore, the parts in this embodiment that are the same or similar to those in Example 1 can be referenced to each other and will not be repeated in this application.

Claims

1. A method for splicing a highway vehicle OD and a city vehicle OD, characterized in that: include: Step 1: Divide the traffic area into urban areas, toll station areas, and external areas; Step 2: Calculate the passenger flow ratio between cells based on mobile phone signaling data; Step 3: Calculate the traffic volume between the inner-city communities and the outer-city communities based on the ingress and egress directions of the toll station.

2. The method for splicing a highway vehicle OD and a city vehicle OD according to claim 1, characterized in that: Step 3 includes: Step 3.1: Split the traffic flow from the toll station area to the city area; Step 3.2: Split the traffic flow from the external community to the toll station community; Step 3.3, calculate the traffic volume from the external community to the urban community; Step 3.4: Split the traffic flow from the urban area to the toll station area; Step 3.5: Split the traffic flow from the toll station area to the external area; Step 3.6: Calculate the traffic flow from inner-city communities to outer-city communities.

3. The method for splicing a highway vehicle OD and a city vehicle OD according to claim 2, characterized in that: Step 3.1 includes: Step 3.1.1, split 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: Based on the passenger flow ratio from external communities to urban communities, calculate the vehicle flow from external communities to urban communities via toll stations.

4. The method for splicing a highway vehicle OD and a city vehicle OD according to claim 3, characterized in that: Step 3.2 includes: Step 3.2.1, split the traffic flow from the external community to the toll station community into the motor vehicle OD volume from the external community to the toll station community and the motor vehicle flow from the external community to the urban community via the toll station; Step 3.2.2: Based on the passenger flow ratio from external communities to internal communities, calculate the motor vehicle flow from external communities to urban communities via toll stations.

5. The method for splicing a highway vehicle OD and a city vehicle OD according to claim 4, characterized in that: 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 urban community via the toll station obtained in step 3.1.2 and the motor vehicle flow from the external community to the urban community via the toll station obtained in step 3.2.

2.

6. The method for splicing a highway vehicle OD and a city vehicle OD according to claim 5, characterized in that: Step 3.4 includes: Step 3.4.1: Split the traffic flow from the inner-city community to the toll station community into the actual traffic flow from the inner-city community to the toll station community and the traffic flow from the inner-city community to the external community via the toll station; Step 3.4.2: Calculate the traffic volume from inner-city communities to outer-city communities via toll stations based on the passenger volume ratio from inner-city communities to outer-city communities.

7. The method for splicing a highway vehicle OD and a city vehicle OD according to claim 6, characterized in that: Step 3.5 includes: Step 3.5.1, split the traffic flow from the toll station community to the external community into the motor vehicle OD volume from the toll station community to the external community and the motor vehicle flow from the inner-city community to the external community via the toll station; Step 3.5.2: Based on the passenger flow ratio from the inner community to the outer community, calculate the motor vehicle flow from the inner community to the outer community via the toll station.

8. The method for splicing a highway vehicle OD and a city vehicle OD according to claim 7, characterized in that: In step 3.6, the traffic flow from the inner-city community to the outer-city community via the toll station and the motor vehicle flow from the inner-city community to the outer-city community via the toll station obtained in step 3.4.2 are used to calculate the traffic flow from the inner-city community to the outer-city community.

9. A splicing system for highway motor vehicle OD and city motor vehicle OD, characterized in that: Used to perform the method according to any one of claims 1 to 8, comprising: A division module is used to divide the traffic area into urban areas, toll station areas and external areas; The first calculation module is used to calculate the passenger flow ratio between cells based on mobile phone signaling data; The second calculation module calculates the traffic volume between the inner-city communities and the outer communities based on the entry and exit directions of the toll station.

10. A computer storage medium, characterized in that The computer storage medium stores a computer program; when the computer program is run on a computer, the computer executes the method according to any one of claims 1 to 8.

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