Deng Mingjun, Chen Fei, Gong Yongtai, Li Xiang, Li Shuhang
School of Transportation Engineering, East China Jiaotong University, Nanchang 330013, China.
Sensors (Basel). 2023 Aug 3;23(15):6884. doi: 10.3390/s23156884.
To alleviate the traffic problems of congestion and queue overflow on a mainline at the intersection of an urban expressway exit ramp articulation during peak hours, a bi-level programming optimization model of signal timing is proposed. The lower-level optimization objective is to maximize the capacity of the expressway exit ramp that articulates with the entrance road, while the upper-level optimization objective is to minimize the average vehicle delay and the number of stops per vehicle, taking into account the queue length in the direction of the ramp and other directions. The particle swarm optimization algorithm is selected to solve the proposed model, applied to a real case, and is validated using MATLAB and VISSIM simulation platforms. The simulation results show that the average vehicle delay and the number of stops per vehicle in the exit ramp on the expressway are reduced by 22.09% and 18.60%, while those in the intersection area are reduced by 20.96% and 17.19%, respectively. The conclusion indicates that the signal timing scheme obtained by this method can effectively improve the traffic efficiency at the intersection of the exit ramp on the expressway and alleviate the problem of congestion and the overflow of the exit ramp back to the mainline.
为缓解城市快速路出口匝道衔接处主线在高峰时段的拥堵和排队溢出交通问题,提出一种信号配时双层规划优化模型。下层优化目标是使与入口道路衔接的快速路出口匝道通行能力最大化,而上层优化目标是在考虑匝道方向及其他方向排队长度的情况下,使车辆平均延误和单车停车次数最小化。选用粒子群优化算法求解所提模型,并应用于实际案例,利用MATLAB和VISSIM仿真平台进行验证。仿真结果表明,快速路出口匝道处的车辆平均延误和单车停车次数分别减少了22.09%和18.60%,而交叉口区域的车辆平均延误和单车停车次数分别减少了20.96%和17.19%。结论表明,该方法得到的信号配时方案能有效提高快速路出口匝道处的交通效率,缓解拥堵问题以及出口匝道倒灌至主线的问题。