摘要
突发事件下,不同方向的应急车辆同时到达交叉口竞争绿灯相位。为减少应急车辆在交叉口的延误,以车辆总停留时间最小为目标,综合考虑各相位的期望将来停留时间和应急车流量比,得到各个相位的优先权。根据当前相位和下一相位的队长和应急车流量比,采用模糊Petri网方法确定当前相位的最佳绿灯时间,并给出了具体的信号优先控制策略。仿真结果表明,当应急车流量比由0.1增加到0.6时,由于对应相位的优先权增大,实际执行绿灯时间接近于相位清空时间,部分应急车辆可以不在交叉口停留直接通过,应急车辆的交叉口平均延误由22.43 s下降到20.41 s。可见,该方法可以有效降低应急车辆的交叉口延误。
Under an unexpected event, emergency vehicles coming from different directions arrive at the same intersection simultaneously and compete for green light phase. To reduce intersection delays of emergency vehicles, taken the minimum delays of all vehicles at isolated intersection as the control target, the priority of each phase was obtained by considering expected future waiting times and emergency vehicle volume rate comprehensively. Fuzzy Petri net approach was adopted to give the most suitable green time of current phase according to the queue and the emergency vehicle volume rate of current phase and the next phase. Finally, a concrete signal priority control strategy was presented. Simulation result indicates that when the emergency vehicle volume rate increased from O. 1 to O. 6, the average intersection delay of emergency vehicles decreased from 22.43 s to 20. 41 s, since the phase priority increased correspondingly and the assigned green time was close to the clearance time, some emergency vehicles can pass through the intersection directly. The strategy given here can reduce the intersection delays of emergency vehicles efficiently.
出处
《公路交通科技》
CAS
CSCD
北大核心
2012年第2期98-105,共8页
Journal of Highway and Transportation Research and Development
基金
国家自然科学基金项目(71161016)
作者简介
牟海波（1977-），女，辽宁朝阳人，讲师，工学博士研究生．（mhbmmm@mail．lzjtu．cn）
