Analysis of Traffic Safety and Robust Optimization Model for Tandem Intersection

Abstract:

Aiming at the traffic design and signal control for the tandem intersection, the traffic conflict technology was used to analyze the traffic safety of the sorting area. The results show that the traffic volume is one of the main factors. On this basis, the robust optimization model of tandem intersection was established by taking the stochastic variation of the traffic volume into consideration. Then, the improved NSGA-II algorithm was used to solve the model and the minimum deviation analysis for subjective and objective information(MDASOI) method was used to analyze the optimization results and the robust optimal scheme was obtained. Case analysis and comparison results show that the proposed model can get an optimal timing method by taking into account the interference of import traffic volume stochastic variation. Compared with the traditional Highway Capacity Manual(HCM) and Australian Road Research Board(ARRB) timing method, this model could reduce the average vehicle delay of about 28.80% and 6.29% and the maximum queue length of about 32.43% and 7.41%. Compared with the example scheme, the optimization scheme of this model can reduce traffic conflicts of the left and right by 23.8% and 11.1%, which improves the safety benefit of the whole intersection.