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Method for predicting and avoiding congested road sections based on VANET environment

A road section, congestion technology, applied in the field of vehicle route planning, can solve the problem of increasing driving time and so on

Inactive Publication Date: 2019-06-04
DONGHUA UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

If the congestion ahead is predicted, the congested section may be unblocked before the vehicle actually arrives, and the vehicle does not have to immediately adjust the original route when it finds the congestion, otherwise it may increase the driving time itself

Method used

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  • Method for predicting and avoiding congested road sections based on VANET environment
  • Method for predicting and avoiding congested road sections based on VANET environment

Examples

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Embodiment Construction

[0021] Below in conjunction with specific embodiment, further illustrate the present invention. It should be understood that these examples are only used to illustrate the present invention and are not intended to limit the scope of the present invention. In addition, it should be understood that after reading the teachings of the present invention, those skilled in the art can make various changes or modifications to the present invention, and these equivalent forms also fall within the scope defined by the appended claims of the present application.

[0022] Embodiments of the present invention relate to a method for predicting congested road sections and performing adaptive avoidance based on the VANET environment, such as figure 1 shown, including the following steps:

[0023] Step 1: The vehicle obtains real-time road condition information of the road network by sending information acquisition requests to other vehicles and roadside signal units, and through two informat...

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Abstract

The invention provides a method for predicting and avoiding congested road sections based on the VANET environment, which is characterized by comprising the steps that a vehicle acquires real-time road condition information and then plans an optimal path; the vehicle travels along the optimal path; and whether there is congestion or not on the road section to be passed is predicted in the traveling process of the vehicle so as to re-adjust the optimal path for travel. After adopting the scheme of the invention, congestion judgment can be better performed on the path according to the acquired real-time road condition information and historical information of the path on the basis of a vehicular ad hoc network technology, and the time when the congested road section is dredged is predicted.Meanwhile, whether or when to make a detour or not or whether the vehicle should travel along the original path or not is guided according to the dredging time. The method saves the travel time of thevehicle and provides better driving experience.

Description

technical field [0001] The invention relates to a method for predicting and avoiding congested road sections based on a VANET environment, and belongs to the technical field of vehicle path planning. Background technique [0002] In recent years, with the development of the economy and the rapid construction of cities, traffic congestion has become an increasingly severe challenge that people are facing. As an important part of smart city transportation construction, route planning has been paid more and more attention by people. The traditional dynamic route planning method is more based on the traffic information of the current road network and the topology of the road network for route planning and adjustment, and then the complexity of the urban road network also brings the diversity of congestion situations. If the congestion ahead is predicted, the congested road section may be cleared before the vehicle actually arrives, and the vehicle does not have to immediately a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/01G08G1/0968H04W4/44H04W4/46
Inventor 齐磊磊李德敏
Owner DONGHUA UNIV
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