Dynamic self-adaptive intelligent station group arrangement method and system

A technology of dynamic self-adaptation and layout method, applied in the field of big data processing, can solve the problems of large engineering volume, constrained surrounding environment, high cost, etc., and achieve the effect of improving operating efficiency, reducing walking distance, and optimizing layout mode

Pending Publication Date: 2020-08-04
德鑫智慧科技(上海)有限公司 +1
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AI Technical Summary

Problems solved by technology

[0004] 1. The existing bus station is restricted by the existing bus system, and the coverage rate is not good (the coverage rate is less than 80%, the detour distance is long, the average non-linear coefficient is as high as 1.95, and the "last mile" problem is prominent);
[0005] 2. The location of the site is

Method used

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  • Dynamic self-adaptive intelligent station group arrangement method and system
  • Dynamic self-adaptive intelligent station group arrangement method and system
  • Dynamic self-adaptive intelligent station group arrangement method and system

Examples

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[0032] The dynamic adaptive smart site group arrangement method includes the step of arranging smart sites. When this step is implemented, all smart sites are marked in the road system in the target city area and displayed on the electronic map of the travel reservation program. Show the specific location of each smart site.

[0033] The aforementioned smart sites include a number of established fixed sites and a number of virtual sites with adjustable locations;

[0034] The distribution density and location of the aforementioned virtual sites should at least refer to the following influencing factors: crowd density, travel demand intensity, and actual geographic characteristics of specific areas;

[0035] The above influence factors are displayed in the travel reservation program;

[0036] The above-mentioned virtual site is located at the location point of legal parking to pick up passengers in the road system.

[0037] The system applicable to the dynamic adaptive smart site group ...

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Abstract

The invention discloses a dynamic self-adaptive intelligent station group arrangement method and system, and the method comprises the steps: marking all intelligent stations in a road system in a target city region, and displaying the intelligent stations in an electronic map of a travel reservation program, so as to display the specific position of each intelligent station; wherein the intelligent sites comprise a plurality of built fixed sites and a plurality of virtual sites with adjustable positions; wherein the distribution density and position of the virtual stations at least refer to the following influence factors: crowd density, travel demand intensity and actual geographical characteristics of a specific region; wherein the influence factors are all displayed in a travel reservation program; wherein the virtual station is located at a position point where the vehicle is legally parked and picked up in the road system. The arrangement mode of the intelligent stations can be dynamically optimized, so that passengers can be positioned and found conveniently, and the operation efficiency of urban traffic is improved.

Description

technical field [0001] The invention belongs to the field of big data processing, in particular to a station group system for public transportation. Background technique [0002] The existing urban public transportation system has problems such as fixed line stations, low operating speed, long walking distance for passengers, long waiting time, and poor comfort. It is difficult to meet the strong demand of urban residents for future advanced urban travel service quality improvement. One of the difficulties is the backwardness of the layout method of the bus station. The bus company receives the demand (usually the construction of new roads or new districts) in a certain period of time. The design of the platform is considered comprehensively based on the level of urban roads and the connection of surrounding transfers. The distance between platforms is generally between 200m and 1.5km. But the final design of the platform is still not satisfactory. [0003] There are follo...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/26G06F16/29G06F16/9537
CPCG06Q10/047G06Q50/26G06F16/29G06F16/9537
Inventor 钟志华吴军
Owner 德鑫智慧科技(上海)有限公司
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