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Flexible traffic restriction management method based on traffic big data

A management method and big data technology, applied in the field of road management, can solve problems such as incompleteness and specificity, and achieve the effect of improving acceptance, great social benefits, and alleviating traffic congestion

Active Publication Date: 2019-07-09
ZHEJIANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the relevant research is not comprehensive and specific enough, both in terms of theoretical modeling and empirical research need to be further developed

Method used

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  • Flexible traffic restriction management method based on traffic big data
  • Flexible traffic restriction management method based on traffic big data
  • Flexible traffic restriction management method based on traffic big data

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Comparison scheme
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Embodiment Construction

[0062] A flexible traffic restriction management method based on traffic big data of the present invention comprises the following steps:

[0063] c1. Pass tickets are issued according to the tail number of the vehicle license plate;

[0064] c2. Obtain user characteristics according to user travel information;

[0065] c3. Establish an exchange mechanism for passes and points;

[0066] c4. Route recommendation based on the starting and ending points of vehicle travel;

[0067] c5. According to the route selection of the vehicle travel, different points are rewarded;

[0068] c6. Realize shared travel among users based on origin-destination matching.

[0069] Wherein, step c1 is specifically:

[0070] c11. Carry out classification according to the license plate tail number of the vehicle; for example, tail numbers 1 and 9 are one group, 2 and 8 are two groups, 3 and 7 are three groups, 4 and 6 are four groups, and 5 and 0 are five groups;

[0071] c12. Issue tickets accor...

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Abstract

The invention provides a flexible traffic restriction management method based on traffic big data. According to the method, coupon travel is carried out on the basis of the traffic restriction rules,and an integral and coupon exchange mechanism is carried out according to different travel characteristics of each user, so that the new traffic restriction rules are more flexible and more accord with travel demands of residents; meanwhile, the user travel path is guided, and the user is guided to select a smooth road for travel through point reward. In addition, the user travel origin and destination are matched, shared travel is achieved, and urban traffic pressure is relieved. The government carries out certain capital investment on the project, so that great achievements can be obtained in the aspects of relieving urban congestion, reducing automobile emission and the like, and greater social benefits are achieved.

Description

technical field [0001] The invention relates to a flexible traffic restriction management method based on traffic big data, which is a flexible traffic restriction mechanism to solve the problem of urban traffic congestion, assists in adjusting existing license plate traffic restriction policies, and belongs to the field of road management. Background technique [0002] Due to the contradiction between the travel needs of urban residents and the limited road resources, the level of traffic management lags behind the development of urban traffic. The overload of road traffic and its uneven temporal and spatial distribution have brought great pressure to urban traffic. Road congestion not only destroys the quality of urban traffic, affects the driving experience of participants, consumes fuel and wastes time, but also greatly increases the difficulty of traffic management. Therefore, strengthening traffic management and optimizing management schemes are particularly important ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06Q10/04G06Q30/02G06Q50/30G08G1/01
CPCG06Q30/0207G06Q10/047G08G1/0125G06F18/23213G06Q50/40
Inventor 姚文彬丁宇豪徐方明刘李熊雄金盛
Owner ZHEJIANG UNIV
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