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Bus driving control method and system based on cooperative adaptive cruise control

A technology of adaptive cruise and control method, applied in traffic control systems, traffic control systems of road vehicles, instruments, etc. Balance and other issues to achieve the effect of improving road traffic capacity, saving fuel consumption and improving safety

Active Publication Date: 2022-03-15
SHANDONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] The application of bus automatic driving technology is an important research direction to realize the bus priority strategy; traditional human-driven bus vehicles have problems such as low traffic efficiency at intersections during peak hours, uneven arrival time, and poor fuel economy; in view of this problem, the inventor In the early stage, the speed optimization control method of the bus operation interval based on multi-objective optimization was studied, and the bus operation objectives were divided into two levels: punctuality and fuel economy according to the importance, and the optimal speed of the bus operation interval was obtained through the multi-objective optimization model.
[0003] The inventors have found that for a single bus line, speed control and station control can adjust the speed and headway, thereby alleviating the phenomenon of stringing cars or arriving at stations at large intervals; however, if multiple bus lines share a bus on the same section Dedicated lanes, this traditional bus control may be interfered by vehicles on other bus lines, affecting the operating efficiency and service level of the public transport system

Method used

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  • Bus driving control method and system based on cooperative adaptive cruise control
  • Bus driving control method and system based on cooperative adaptive cruise control
  • Bus driving control method and system based on cooperative adaptive cruise control

Examples

Experimental program
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Effect test

Embodiment 1

[0042] This embodiment provides a bus driving control method based on cooperative adaptive cruise control, including:

[0043] Judging whether the bus vehicle is in the cooperative adaptive cruise control fleet;

[0044] If the bus is in the fleet, determine the driving mode according to the position of the bus in the fleet; if the bus is not in the fleet, judge the time interval between the bus and its adjacent bus in front, if the time interval is greater than the preset value, the bus The vehicle cruises in the adaptive cruise control mode; when the time interval is less than the preset value, the bus switches to the cooperative adaptive cruise control mode;

[0045] Such as figure 1 and figure 2 As shown, the overall idea in this embodiment is that, at the line level, the public transport control system based on CACC dynamically optimizes the expected speed of each bus vehicle to ensure its service level; at the section level, the public transport control system based o...

Embodiment 2

[0081] This embodiment provides a bus driving control system based on cooperative adaptive cruise control, including a judgment module and a control module;

[0082] The judging module is configured to: judge whether the bus vehicle is in the cooperative adaptive cruise control fleet;

[0083] The control module is configured to: if the bus vehicle is in the fleet, determine the driving mode according to the position of the bus vehicle in the fleet; if the bus vehicle is not in the fleet, judge the time interval between the bus vehicle and its adjacent bus vehicle in front, if If the time interval is greater than the preset value, the bus cruises in the adaptive cruise control mode; when the time interval is smaller than the preset value, the bus switches to the cooperative adaptive cruise control mode.

Embodiment 3

[0085] This embodiment provides a computer-readable storage medium, on which a computer program is stored. When the program is executed by a processor, the steps of the method for controlling bus driving based on cooperative adaptive cruise control described in Embodiment 1 are implemented. .

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Abstract

The invention provides a cooperative adaptive cruise control-based bus driving control method and system. The method comprises the following steps of: judging whether a bus is in a cooperative adaptive cruise control fleet or not; if the bus is in the vehicle fleet, determining a driving mode according to the position of the bus in the vehicle fleet; if the bus is not in the motorcade, the time interval between the bus and the adjacent bus in front of the bus is judged, and if the time interval is larger than a preset value, the bus cruises in a self-adaptive cruise control mode; when the time interval is smaller than a preset value, the bus is switched to a cooperative self-adaptive cruise control mode; on the basis of judging whether the bus is in the CACC fleet or not, the cruise mode of the bus is determined, traditional bus control is combined with CACC, the service performance of a single bus route can be improved, and the system service performance of buses on multiple routes on the same road section can be coordinated and optimized.

Description

technical field [0001] The invention belongs to the technical field of bus operation scheduling, and in particular relates to a bus driving control method and system based on cooperative adaptive cruise control. Background technique [0002] The application of bus automatic driving technology is an important research direction to realize the bus priority strategy; traditional human-driven bus vehicles have problems such as low traffic efficiency at intersections during peak hours, uneven arrival time, and poor fuel economy; in view of this problem, the inventor In the early stage, the speed optimization control method of bus operation interval based on multi-objective optimization was studied, and the bus operation objectives were divided into two levels: punctuality and fuel economy according to the importance, and the optimal speed of bus operation interval was obtained through the multi-objective optimization model. [0003] The inventor found that for a single bus line, ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/0967G08G1/00
CPCG08G1/096725G08G1/22
Inventor 王旭于迪刘泽华周童薛冰冰廖小棱马菲
Owner SHANDONG UNIV
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