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A location optimization method for one-way shared car system 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, few researches, and few free parking systems, and achieves the effects of easy access, strong practical operability, and good extensibility.

Active Publication Date: 2022-06-24
BEIJING JIAOTONG UNIV
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  • Summary
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  • Description
  • Claims
  • Application Information

AI Technical Summary

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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  • A location optimization method for one-way shared car system based on trajectory data
  • A location optimization method for one-way shared car system based on trajectory data
  • A location optimization method for one-way shared car system 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 location optimization method for a one-way shared car system based on trajectory data. It is possible to carry out relocation planning for the existing shared car system, and also plan for the launch of shared cars in new cities, providing theoretical guidance and practical support for the initial planning of operators. The specific implementation plan is: segment the vehicle trajectory data to extract potential shared car demand; conduct grid division for the research area, count the potential demand of each grid, and select candidate points; calculate the distance attenuation degree from the demand center to the candidate point ; Statistical historical experience data, get fleet size constraints, and build a shared car site location optimization model; finally solve the model, get the site location, site capacity and initial vehicles. The data used in the present invention are relatively common and easy to obtain, and a feasible site selection scheme can be obtained within a reasonable time, which has practical 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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Patent Type & Authority Patents(China)
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