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One-way shared automobile system site selection optimization method based on trajectory data

A technology for sharing cars and trajectory data, applied in the field of intelligent transportation systems, which can solve the problems of difficult operation scheduling, little research, and few free parking systems.

Active Publication Date: 2020-06-12
BEIJING JIAOTONG UNIV
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Problems solved by technology

Due to the different attributes of vehicles and shared bicycles, as well as the difficulty of operation and scheduling, the application of free parking systems is rare, and there are very few related studies

Method used

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  • One-way shared automobile system site selection optimization method based on trajectory data
  • One-way shared automobile system site selection optimization method based on trajectory data
  • One-way shared automobile system site selection optimization method based on trajectory data

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Embodiment Construction

[0080] The following is attached Figure 1~5 The present invention is described in further detail.

[0081] The present invention is a one-way shared car system site selection optimization based on trajectory data, comprising the following steps, such as figure 1 Shown:

[0082] Step 1: Segment the vehicle trajectory data and extract the potential demand for shared cars. The vehicle trajectory data implies the potential travel needs of users, and the effective potential demand set can be obtained by reasonably segmenting the vehicle trajectory data according to a certain method. The vehicle track data is the GPS track point data during the driving process of the vehicle. It is a sequence composed of a series of data points with time stamps. Each data point contains information such as vehicle number, time, longitude, latitude, and speed. like figure 2 shown;

[0083] Step 1.1: Express the trajectory data of each vehicle as:

[0084] Tr ii =

[0085] {(v ii ,t 1 ,lon...

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Abstract

The invention relates to a one-way shared automobile system site selection optimization method based on trajectory data. Re-location planning can be carried out on an existing shared automobile system, shared automobile delivery planning can also be carried out on a newly-built city, and theoretical guidance and practical support are provided for initial planning of operators. According to the specific implementation scheme, vehicle trajectory data are segmented, and potential shared vehicle requirements are extracted; carrying out grid division on the research area, carrying out statistics onthe potential demand quantity of each grid, and selecting candidate points; calculating a distance attenuation degree from the demand center to the candidate point; counting historical experience data to obtain motorcade scale limitation constraints, and constructing a shared bus station site selection optimization model; and finally, solving the model to obtain the station position, the stationcapacity and the initial vehicle. According to the method, the used data is relatively common and easy to obtain, a feasible site selection scheme can be obtained within reasonable time, and the method has an actual operation value.

Description

technical field [0001] The invention relates to the technical field of intelligent transportation systems, in particular to a method for optimizing the site selection of a one-way shared car system based on trajectory data. Background technique [0002] Since the birth of the first car, the automobile industry has developed rapidly, which has led to the rapid development of the economy, but also brought a series of traffic problems, mainly manifested in: traffic jams, environmental pollution, parking difficulties, waste of resources, etc. Major cities are deeply troubled by traffic problems, and the increasingly prominent traffic pressure has seriously affected the normal operation of urban activities. As an emerging transportation service industry in China, car-sharing is an important means of transportation that meets the needs of people's personalized travel and business activities and guarantees major social activities. Beneficial effects came. [0003] With the develo...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q10/04G06F30/20G06F111/04G06Q50/30
CPCG06Q10/06315G06Q10/04G06Q50/40
Inventor 谢东繁田静静赵小梅
Owner BEIJING JIAOTONG UNIV
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