The invention belongs to the technical field of intelligent traffic, and discloses a bus green wave traffic speed dynamic optimization method based on vehicle and road cloud integration, which comprises the following steps: S1, pre-analyzing a bus continuous intersection traffic scene, and defining vehicle end, road end and cloud equipment and functions thereof based on a vehicle and road cloud integration technology, a data transmission relation between the vehicle and road cloud devices is constructed; s2, solving a green light passing time interval of the bus; s3, constructing a green wave traffic speed dynamic optimization model; s4, solving the optimal green wave passing speed of each bus in each road section; and S5, the passing delay time of the bus is monitored in real time, when the bus arrives at the signalized intersection, delay information is fed back to the green wave passing speed dynamic optimization model, and the green wave passing speed of the bus is dynamically adjusted. According to the method, the passing efficiency and the punctuality rate of the bus can be improved, the reliability of the bus system is improved, energy consumption and tail gas emission can be reduced, and meanwhile the riding experience and satisfaction degree of passengers are improved.
本发明属于智能交通技术领域,公开了一种基于车路云一体化的公交车绿波通行速度动态优化方法,包括:S1.对公交车连续交叉口通行场景进行预分析,基于车路云一体化技术,定义车端、路端、云端设备以及其功能,并构建车路云设备之间的数据传输关系;S2.求解公交车的绿灯通行时间区间;S3.构建绿波通行速度动态优化模型;S4.求解出每辆公交车在各个路段的最优绿波通行速度;S5.实时监测公交车的通行延误时间,在公交车到达信号交叉口时,将延误信息反馈至绿波通行速度动态优化模型,动态调节公交车绿波通行速度。本发明不仅能提高公交车的通行效率和准时率,增加公交系统的可靠性,还能减少能源消耗和尾气排放,同时提升乘客的乘车体验和满意度。
Bus green wave traffic speed dynamic optimization method based on vehicle-road cloud integration
一种基于车路云一体化的公交车绿波通行速度动态优化方法
2024-12-03
Patent
Electronic Resource
Chinese
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