Intercity transportation network feature analysis method and device based on mobile phone signaling

Abstract

The invention discloses an inter-city transportation network feature analysis method and device based on mobile phone signaling, and the method comprises the steps: firstly, recognizing inter-city transportation data in a range based on the data of the mobile phone signaling; then, based on the inter-city transportation data, constructing an inter-city transportation network; finally, an analysis index set is calculated according to the inter-city traffic travel network, and the analysis index set comprises the inter-city travel volume, the inter-city travel structure, the inter-city weighted average travel distance, the inter-city weighted average travel time, the inter-city network aggregation and the inter-city network balance. According to the method, the inter-city transportation is analyzed in combination with the mobile phone signaling data, and due to the fact that the user information of the mobile phone signaling data is more comprehensive, the data space distribution is very wide and convenient to obtain, the transportation behavior can be analyzed in a targeted mode. The inter-city traffic travel network is constructed based on the mobile phone signaling data, and the inter-city traffic analysis indexes are calculated, so that the inter-city traffic prediction analysis accuracy is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of urban traffic planning, and more specifically to a method and device for analyzing characteristics of an inter-city traffic travel network based on mobile phone signaling. Background Art

[0002] In recent years, with the rapid development of my country's economy and society and the continuous improvement of residents' living standards, consumption concepts, consumption content, and consumption levels have been continuously upgraded, and people's travel needs, travel modes, and residents' travel structure are undergoing profound changes. The continuous growth in the number of motor vehicles and the rise of new green travel modes have affected the urban multi-modal transportation structure and posed new challenges to the identification of urban transportation modes. Residents' travel mode structure data is an important representation of urban multi-modal transportation needs.

[0003] The significance of inter-city transportation travel network characteristics analysis is to deeply understand the traffic flow patterns between cities, reveal the inherent laws and potential problems of the transportation system, and provide scientific basis and decision support for transportation planning, urban management, economic development and regional cooperation. For example, travel network characteristics analysis helps to identify traffic bottlenecks and congested areas. Through analysis, the layout of public transportation lines can be optimized, traffic efficiency can be improved, and congestion and emissions can be reduced.

[0004] Traditional intercity traffic analysis methods mainly collect survey data through online questionnaires and other means, and conduct forecast analysis on traffic flow and vehicle travel based on the survey data. However, due to the long survey time and low sampling rate, the survey data is not comprehensive enough, which leads to low accuracy of traffic forecast analysis results. Summary of the invention

[0005] In view of this, the present invention provides a method and device for analyzing the characteristics of an inter-city transportation network based on mobile phone signaling, which is used to solve the problems of the existing inter-city transportation analysis method, the insufficient survey data and the low accuracy of the traffic prediction analysis results.

[0006] To achieve the above objectives, the proposed solution is as follows:

[0007] A method for analyzing characteristics of intercity transportation travel network based on mobile phone signaling, comprising:

[0008] Based on mobile phone signaling data, identify inter-city transportation travel data within a preset time range, wherein the inter-city transportation travel data includes inter-city travel modes;

[0009] Build an inter-city transportation network based on inter-city transportation data;

[0010] A set of analysis indicators is calculated based on the intercity transportation travel network, where the analysis indicator set includes intercity travel volume, intercity travel structure, intercity weighted average travel distance, intercity weighted average travel time, intercity network agglomeration and intercity network balance.

[0011] Preferably, the process of identifying inter-city transportation travel data within the range based on mobile phone signaling data includes:

[0012] Taking administrative districts as units, obtain mobile phone signaling data within a preset time range;

[0013] Based on mobile phone signaling data, determine whether the trip is inter-city according to the administrative districts where the trip starts and ends;

[0014] If so, the inter-city travel mode is determined based on the travel trajectory.

[0015] Preferably, the process of determining the inter-city travel mode based on the travel trajectory includes:

[0016] Determine the intercity travel mode based on the travel trajectory point attributes or moving speed.

[0017] Preferably, the method for analyzing the characteristics of an intercity transportation network based on mobile phone signaling, wherein the intercity transportation network is constructed based on intercity transportation data, comprises:

[0018] The administrative districts are regarded as nodes of the inter-city transportation network, where the attributes of the nodes include name and number;

[0019] Based on the mobile phone signaling data, the intercity travel between different nodes is connected to obtain the edges of the intercity transportation network. The attributes of the edges include endpoints, distances, travel time corresponding to each travel mode, and travel volume corresponding to each travel mode.

[0020] Preferably, the process of calculating the inter-city network agglomeration according to the inter-city transportation travel network includes:

[0021] Calculate the primacy of each administrative district based on the inter-city travel volume of each administrative district, where the primacy is the proportion of the inter-city travel volume of the current administrative district to the regional travel volume, and the regional travel volume is the total inter-city travel volume within the preset regional range;

[0022] Calculate the first contact corresponding to each administrative area to obtain the first contact set within the preset area;

[0023] Based on the first connection set, a regional travel backbone network is constructed, and the travel intensity of the regional travel backbone network is calculated.

[0024] Preferably, the process of calculating the intercity network equilibrium according to the intercity transportation travel network includes:

[0025] Calculate the ratio of the intercity travel volume of the first city in the intercity transportation network to the average intercity travel volume of the remaining cities to obtain the multi-centrality of the travel network;

[0026] Calculate the network structure entropy of the intercity transportation travel network.

[0027] An inter-city traffic travel network characteristic analysis device based on mobile phone signaling, comprising:

[0028] A data collection unit, based on mobile phone signaling data, identifies inter-city transportation travel data within a preset time range, wherein the inter-city transportation travel data includes inter-city travel modes;

[0029] The network construction unit builds an inter-city transportation network based on inter-city transportation data;

[0030] The data analysis unit calculates and analyzes a set of indicators based on the inter-city transportation travel network, wherein the set of analysis indicators includes inter-city travel volume, inter-city travel structure, inter-city weighted average travel distance, inter-city weighted average travel time, inter-city network agglomeration and inter-city network balance.

[0031] According to the specific embodiments provided by the present invention, the present invention discloses the following technical effects:

[0032] The method for analyzing the characteristics of an intercity transportation network based on mobile phone signaling provided by the present invention first identifies intercity transportation data within a range based on mobile phone signaling data; then, constructs an intercity transportation network based on the intercity transportation data; finally, calculates and analyzes a set of indicators based on the intercity transportation network, wherein the set of analysis indicators includes intercity travel volume, intercity travel structure, intercity weighted average travel distance, intercity weighted average travel time, intercity network agglomeration, and intercity network balance. The present invention analyzes intercity transportation in combination with mobile phone signaling data. Since the user information of mobile phone signaling data is more comprehensive, the data spatial distribution is very wide, and it is easy to obtain, it can analyze transportation travel behavior in a targeted manner. An intercity transportation network is constructed based on mobile phone signaling data, and intercity transportation analysis indicators are calculated, thereby improving the accuracy of intercity transportation prediction and analysis. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying creative work.

[0034] Figure 1A flow chart of a method for analyzing inter-city transportation network characteristics based on mobile phone signaling provided by an embodiment of the present invention;

[0035] Figure 2 A flow chart of another method for analyzing characteristics of an intercity transportation network based on mobile phone signaling provided in an embodiment of the present invention;

[0036] Figure 3 A schematic structural diagram of an inter-city transportation travel network characteristics analysis device based on mobile phone signaling provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0037] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0038] First, combine Figure 1-2 The method for analyzing the characteristics of an intercity transportation network based on mobile phone signaling provided in an embodiment of the present invention is introduced. As shown in the figure, the method includes:

[0039] Step S01, identifying inter-city traffic travel data within a preset time range based on mobile phone signaling data.

[0040] Specifically, firstly, taking administrative districts as units (prefecture-level or county-level administrative districts), mobile phone signaling data within a preset time range is collected.

[0041] Based on mobile phone signaling data, determine whether the trip is intercity based on the administrative district where the trip start and end are located. If the start or end point of a trip within the preset area is not in the same administrative district, the trip is intercity.

[0042] If yes, then determine the inter-city travel mode based on the travel trajectory. The inter-city travel mode can be determined based on the travel trajectory point attributes or moving speed. For example:

[0043] 1) Determine the intercity travel mode based on the attributes of the travel trajectory points. When traveling by civil aviation, the mobile phone will be turned off. Therefore, there is no mobile phone signaling data during the trip; when traveling by high-speed rail, the travel trajectory is along the high-speed rail line; when traveling by conventional railway (track) or road, the travel trajectory is along the line.

[0044] 2) Determine the intercity travel mode based on the moving speed. First, calculate the moving speed based on the latitude and longitude of the starting point of the travel trajectory and the travel time. Then, determine the intercity travel mode based on the moving speed. If the moving speed is above 700km / h, it can be determined that the intercity travel mode is civil aviation travel; when the moving speed is around 160 to 500km / h, it can be determined that the intercity travel mode is high-speed rail travel; when the moving speed is below 160km / h, it can be determined that the intercity travel mode is conventional rail or road travel. Among them, if the intercity travel mode is civil aviation travel, the mobile phone signaling data at the starting point can be collected through the airport base station; if the intercity travel mode is high-speed rail or conventional rail, the mobile phone signaling data at the starting point is collected by the railway station base station.

[0045] Step S02, constructing an intercity transportation network based on intercity transportation data.

[0046] Specifically, the administrative division units within the preset research area are used as nodes of the intercity transportation network, where the attributes of the nodes include name and number. The preset area contains n administrative districts, and the node numbers are 1 to n.

[0047] According to the mobile phone signaling data, the intercity travel between different nodes is connected to obtain the edges of the intercity transportation network, where the attributes of the edge include endpoints, distance, travel time corresponding to each travel mode, and travel volume corresponding to each travel mode. All nodes and edges within the preset area constitute the intercity transportation network. There are m travel modes for intercity transportation between administrative regions.

[0048] Step S03, calculating and analyzing a set of indicators based on the inter-city transportation network.

[0049] Specifically, the set of analysis indicators includes inter-city travel volume, inter-city travel structure, inter-city weighted average travel distance, inter-city weighted average travel time, inter-city network agglomeration and inter-city network balance.

[0050] 1. Calculating intercity travel volume based on the intercity transportation network

[0051] (1) Statistics on inter-city travel volume between administrative region i and administrative region j Among them, v kij is the inter-city travel volume from administrative district i to administrative district j using the kth mode of transportation; v kji is the intercity travel volume from administrative district j to administrative district i using the kth mode of transportation.

[0052] (2) Count the inter-city travel volume using the kth travel mode within the preset area

[0053] (3) Statistical analysis of intercity travel volume in administrative region i

[0054] (4) Counting regional travel volume within a preset area

[0055] (5) Calculate the average regional travel volume within the preset area

[0056] 2. Calculate the intercity travel structure based on the intercity transportation network

[0057] (1) Calculate the proportion of trips using the kth mode of transportation in the traffic corridor between administrative district i and administrative section j. kij =(v kij +v kji ) / V ij Among them, the travel mode with the highest travel volume is the dominant travel mode within the channel.

[0058] (2) Calculate the proportion of trips using the kth travel mode within the preset area s k =V k / V, among which the travel mode with the highest travel volume is the dominant travel mode within the preset area.

[0059] 3. Calculate the inter-city weighted average travel distance based on the inter-city transportation network

[0060] (1) Calculate the average weighted travel distance between cities using the kth travel mode within the preset area Among them, D ij is the travel distance from administrative district i to administrative district j.

[0061] (2) Calculate the average weighted travel distance within the preset area

[0062] 4. Calculate the inter-city weighted average travel time based on the inter-city transportation network

[0063] (1) Calculate the weighted average travel time between cities using the kth travel mode Among them, t kij is the travel time from administrative district i to administrative district j using the kth mode of transportation.

[0064] (2) Calculate the weighted average travel time between cities within the preset area Among them, T ij is the average travel time from administrative district i to administrative district j,

[0065] 5. Calculating the agglomeration of intercity networks based on intercity transportation networks

[0066] The indicators of primacy, primacy connection, trunk network travel intensity and centrality are selected to analyze the agglomeration of the intercity transportation travel network.

[0067] (1) Calculate the primacy P of each administrative district based on the inter-city travel volume of each administrative district. core =V core / V, where V core The first degree is the proportion of the first city's intercity travel volume in the preset area, the first degree is the proportion of the first city's intercity travel volume in the regional travel volume, and the regional travel volume is the total intercity travel volume in the preset area. Among them, the higher the first degree value, the more significant the position of the first city in the entire intercity travel network, and the intercity travel spatial distribution has a strong centripetal nature, and vice versa.

[0068] (2) Calculate the first connection corresponding to each administrative district to obtain a first connection set within a preset area, where the first connection refers to the inter-city connection with the largest inter-city travel volume corresponding to each administrative district, and the first connection set includes the first connection corresponding to each administrative district within the preset area.

[0069] (3) Based on the first connection set, construct the regional travel backbone network and calculate the travel intensity of the regional travel backbone network Among them, the higher the travel intensity of the travel backbone network, the more concentrated the intercity transportation travel is. The centrality of administrative district i can be represented by the number of administrative districts that are first connected to administrative district i.

[0070] 6. Calculating the balance of intercity networks based on intercity transportation networks

[0071] (1) Calculate the ratio of the intercity travel volume of the first city in the intercity transportation network to the average intercity travel volume of the remaining cities to obtain the multi-centrality of the travel network. For example, by calculating the ratio of the average intercity travel volume of the second to tth cities in the intercity transportation network to the ratio of the first city, the multi-centrality of the travel network is obtained. Among them, when the number of administrative districts within the preset area is n>6, t=[n / 3]; when n<6, t=2. Among them, the higher the polycentricity, the more obvious the polycentricity of the intercity travel network of the urban agglomeration, and the difference in intercity travel volume among administrative districts is relatively small.

[0072] (2) Calculating the network structure entropy of the intercity transportation network Among them, the higher the network structure entropy, the higher the degree of networking of inter-city travel, and vice versa.

[0073] The method for analyzing the characteristics of the intercity transportation network based on mobile phone signaling provided in the embodiment of the present invention first identifies the intercity transportation data within the range based on the mobile phone signaling data; then, constructs the intercity transportation network based on the intercity transportation data; finally, calculates the analysis index set according to the intercity transportation network, wherein the analysis index set includes the intercity travel volume, intercity travel structure, intercity weighted average travel distance, intercity weighted average travel time, intercity network agglomeration and intercity network balance. The embodiment of the present invention combines the mobile phone signaling data to analyze the intercity transportation. Since the user information of the mobile phone signaling data is more comprehensive, the data spatial distribution is very wide and it is easy to obtain, it can analyze the transportation travel behavior in a targeted manner. The intercity transportation network is constructed based on the mobile phone signaling data, and the intercity transportation analysis index is calculated, which improves the accuracy of the intercity transportation prediction analysis.

[0074] The following is a description of the inter-city transportation travel network characteristics analysis device based on mobile phone signaling provided in an embodiment of the present invention. The inter-city transportation travel network characteristics analysis device based on mobile phone signaling described below and the inter-city transportation travel network characteristics analysis method based on mobile phone signaling described above can be referenced to each other.

[0075] First combine Figure 3 , the inter-city traffic travel network characteristic analysis device based on mobile phone signaling is introduced, such as Figure 3 As shown, the inter-city transportation network characteristic analysis device based on mobile phone signaling may include:

[0076] The data collection unit 100 identifies inter-city transportation travel data within a preset time range based on the mobile phone signaling data, wherein the inter-city transportation travel data includes inter-city travel modes;

[0077] A network construction unit 200 constructs an inter-city transportation network based on the inter-city transportation data;

[0078] The data analysis unit 300 calculates an analysis indicator set based on the inter-city transportation travel network, wherein the analysis indicator set includes inter-city travel volume, inter-city travel structure, inter-city weighted average travel distance, inter-city weighted average travel time, inter-city network agglomeration and inter-city network balance.

[0079] Finally, it should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.

[0080] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the various embodiments can be referenced to each other.

[0081] The above description of the disclosed embodiments enables one skilled in the art to implement or use the present invention. Various modifications to these embodiments will be apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but rather to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for analyzing the characteristics of inter-city transportation network based on mobile phone signaling, characterized in that: include: Based on mobile phone signaling data, identify inter-city transportation travel data within a preset time range, wherein the inter-city transportation travel data includes inter-city travel modes; Build an inter-city transportation network based on inter-city transportation data; A set of analysis indicators is calculated based on the intercity transportation travel network, where the analysis indicator set includes intercity travel volume, intercity travel structure, intercity weighted average travel distance, intercity weighted average travel time, intercity network agglomeration and intercity network balance.

2. The method for analyzing the characteristics of inter-city transportation network based on mobile phone signaling according to claim 1 is characterized in that: The process of identifying inter-city traffic travel data within the range based on mobile phone signaling data includes: Taking administrative districts as units, obtain mobile phone signaling data within a preset time range; Based on mobile phone signaling data, determine whether the trip is inter-city according to the administrative districts where the trip starts and ends; If so, the inter-city travel mode is determined based on the travel trajectory.

3. The method for analyzing intercity transportation network characteristics based on mobile phone signaling according to claim 2 is characterized in that: The process of determining the inter-city travel mode based on the travel trajectory includes: Determine the intercity travel mode based on the travel trajectory point attributes or moving speed.

4. The method for analyzing intercity transportation network characteristics based on mobile phone signaling according to claim 1 is characterized in that: The method for analyzing the characteristics of an intercity transportation network based on mobile phone signaling, wherein the intercity transportation network is constructed based on intercity transportation data, including: The administrative districts are regarded as nodes of the inter-city transportation network, where the attributes of the nodes include name and number; Based on the mobile phone signaling data, the intercity travel between different nodes is connected to obtain the edges of the intercity transportation network. The attributes of the edges include endpoints, distances, travel time corresponding to each travel mode, and travel volume corresponding to each travel mode.

5. The method for analyzing inter-city transportation network characteristics based on mobile phone signaling according to claim 1 is characterized in that: The process of calculating the agglomeration of the intercity network based on the intercity transportation travel network includes: Calculate the primacy of each administrative district based on the inter-city travel volume of each administrative district, where the primacy is the proportion of the inter-city travel volume of the current administrative district to the regional travel volume, and the regional travel volume is the total inter-city travel volume within the preset regional range; Calculate the first contact corresponding to each administrative area to obtain the first contact set within the preset area; Based on the first connection set, a regional travel backbone network is constructed, and the travel intensity of the regional travel backbone network is calculated.

6. The method for analyzing intercity transportation network characteristics based on mobile phone signaling according to claim 1 is characterized in that: The process of calculating the intercity network equilibrium based on the intercity transportation travel network includes: Calculate the ratio of the intercity travel volume of the first city in the intercity transportation network to the average intercity travel volume of the remaining cities to obtain the multi-centrality of the travel network; Calculate the network structure entropy of the intercity transportation travel network.

7. A device for analyzing the characteristics of inter-city transportation network based on mobile phone signaling, characterized in that: include: A data collection unit, based on mobile phone signaling data, identifies inter-city transportation travel data within a preset time range, wherein the inter-city transportation travel data includes inter-city travel modes; The network construction unit builds an inter-city transportation network based on inter-city transportation data; The data analysis unit calculates and analyzes a set of indicators based on the inter-city transportation travel network, wherein the set of analysis indicators includes inter-city travel volume, inter-city travel structure, inter-city weighted average travel distance, inter-city weighted average travel time, inter-city network agglomeration and inter-city network balance.

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