Driver behavior induction and local traffic flow optimization method

A driver and traffic flow technology, which is applied in traffic flow detection, traffic control system, traffic control system of road vehicles, etc., can solve the problem of inability to guarantee the driver's individual needs and user experience index, the driver does not get a sense of participation, Ignoring issues such as the driver's driving style

Active Publication Date: 2018-09-25
CHONGQING UNIV OF POSTS & TELECOMM
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Problems solved by technology

But it ignores the driver's driving style for a specific car model
The driver's individual needs and user experience index

Method used

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  • Driver behavior induction and local traffic flow optimization method
  • Driver behavior induction and local traffic flow optimization method
  • Driver behavior induction and local traffic flow optimization method

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[0022] The present invention will be further described below in conjunction with the drawings.

[0023] The patent of the invention is to optimize the traffic flow in a local area, and the Yangtze River Bridge is now used as the optimized section. When a stop-and-go traffic flow occurs on this road section, the front and rear vehicles follow each other. First, through GPS information, a historical traffic database can be generated. The historical traffic database contains the historical driving record of each car. By extracting the driving data of the following state of the car following car and the corresponding leading car, the driving style characteristics of the car following car can be identified through the least square method, which can be It is classified, and the driving characteristics of the common drivers who drive the car are obtained. Thereby marking the driving parameters. And through the current driving style, the driver's driving parameters are matched, so as ...

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Abstract

The invention discloses a local traffic flow optimization system based on a multi-vehicle longitudinal car-following state. The method comprises steps of firstly, using the least square method to identity driver character parameters; dividing drivers into aggressive, steady and conservative types; calibrating driving behaviors of the steady type drivers to be good car-following parameters; then, through dichotomy method, acquiring the degree that drivers accept suggestions and reminding drivers to improve the car-following behaviors; and guiding drivers to develop good driving habits step by step. According to the invention, based on drivers with different characters and different car-following styles, driving suggestion degrees that special drivers can accept are provided; drivers are advised to keep normal driving; by improving driving behaviors of drivers in the micro level, traffic flows in local regions are optimized in the macro level.

Description

technical field [0001] The invention belongs to the technical field of public transportation, in particular to a multi-vehicle longitudinal car-following technology facing local traffic flow. The present invention proposes a traffic flow optimization method in a local area by learning the historical driving data of drivers of different personality types and vehicles of different models stored in the cloud, which is suitable for traffic jams where stop-and-go traffic often occurs. Background technique [0002] With the sustained and rapid economic and social development, China's car ownership continues to show a trend of rapid growth. At the same time, with the development of cities, road traffic congestion in some areas (Yangtze River Bridge, urban tunnels, etc.) is still very serious. [0003] Based on this, it is urgent to carry out research on traffic flow optimization in local areas. Due to the different personalities of the drivers and the different types of vehicles,...

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Application Information

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IPC IPC(8): G08G1/01G08G1/0962
CPCG08G1/0112G08G1/0129G08G1/0137G08G1/0962
Inventor 朴昌浩刘成张艳
Owner CHONGQING UNIV OF POSTS & TELECOMM
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