The Optimization of Traffic Control Scheme for Emergency Supplies Transportation

Yumei Li, Hongguo Wang, Ping Li, Zengzhen Shao, Mingguang Ma
2017 International Journal of u- and e- Service, Science and Technology  
After the disaster, emergency supplies transportation is the key to emergency rescue. In order to ensure the rapid delivery of emergency supplies to the affected area, it is necessary to take appropriate control measures on roads. However, the implementation of traffic control will certainly bring interference for social vehicles. So there is need to optimize the traffic control scheme. In this paper, traffic control for different time intervals is implemented on the road section, and the
more » ... zation of traffic control scheme is undertaken. This study includes three parts as following: Firstly, the traffic control model is built to minimize disturbance caused by traffic control under the premise that the time requirement of emergency supplies transportation is met. Secondly, optimization algorithm based on greed is designed to solve the model. Then the concrete traffic control scheme is obtained at last. In practice, the optimization algorithm is proved to be convergent. Finally, the model and algorithm are analyzed and validated by Sioux-Fall road network. In conclusion, the optimization of traffic control scheme could guarantee the delivery of emergency supplies to the affected area within time limit as well as minimize disturbance caused by traffic control. Traffic control as an effective solution to traffic congestion has been widely used. When major events are held, according to the traffic characteristics of the city, implementing corresponding traffic control measures on the road can guarantee the normal operation of traffic during the event [1, 2] .Traffic control measures on the highway can not only improve the traffic capacity of highway, but also can effectively prevent the occurrence of safety accidents in bad weather conditions [3, 4] .In urban distribution, traffic control can improve the efficiency of urban distribution, and reduce the interference of freight traffic to urban traffic [5, 6] . Yet the traffic control as an impact factor in the studies of emergency rescue has only begun to appear in recent years. A.M. Caunhye, X. Nie, et al. sorted out the optimization model in emergency logistics systematically. They proposed some optimization problems, such as facilities siting, delivery of relief supplies and the wounded, etc. And they also emphasized the significance of traffic control in rescue [7] . By considering the road network partially destroyed by earthquake and by the traffic control executed to avoid traffic congestion, S.L. Li and Z.J. Ma established the multi-objective path selection model for the shortest travel time of relief path and the minimum disturbance caused by traffic control. They designed a two-stage heuristic algorithm to solve that model, which is with great innovation and of practical value [8] . On that basis, they studied the multidepot emergency supplies scheduling optimization problem under traffic control, and designed the no-dominate sort genetics algorithm to solve the model [9]. M.A. Konstantinidou, K.L. Kepaptsoglou, et al. applied traffic control of lane retrograde to emergency relief evacuation, greatly improving the efficiency of rescue [10]. The current studies on emergency rescue based on traffic control mainly focus on specific emergencies, meeting the multi-objective requirement of the shortest rescue time and the minimum disturbance caused by traffic control, giving traffic control schemes, such as the literature [8] . But there is no executable, operational specific schemes for the specific control modes and time of each section. In order to optimize the scheme of traffic control for emergency supplies transportation, we introduce demi-control mode to control the section for different time intervals. The traffic control model is built to minimize disturbance caused by control within time limit of emergency supplies transportation. Next, by constructing a network graph weighted to time and disturbance, algorithm based on greed is designed to solve the model. Then the concrete traffic control scheme is obtained at last. Finally, the model and algorithm is analyzed and validated by Sioux-Fall road network.
doi:10.14257/ijunesst.2017.10.6.01 fatcat:7erjvzfd3vhvzerddzmfr7qpyi