报告题目: Discretization modeling, integer programming formulations and dynamic programming algorithms for robust traffic signal timing

摘要:Traffic volumes are naturally variable and fluctuate from day to day. Robust optimizationapproaches have been utilized to address the uncertainty in traffic signal timing optimization.However, due to complicated nonlinear programming models, obtaining a global optimalsolution is difficult. Instead of working with nonlinear programming models, wepropose a discretization modeling approach, where the cycle, green time, and traffic volumeare divided into a finite number of discrete values. The robust signal timing problemis formulated as a binary integer program. Two dynamic programming algorithms are then developed. We obtain optimal solutions for all of the instances with respect to the inputsgenerated from the discretization.

报告人：加州大学伯克利分校交通研究所助理研究员 里井全
【简介：他于浙江大学电机系获得学士，于原邮电部电信科学技术研究院获得硕士学位，于亚利桑那大学系统和工业工程系获得博士学位。曾于加州大学伯克利分校做博士后的研究。他的研究兴趣包括交通和物流系统的调度，交通信号优化，交通和物流系统中的环境和能源的管理，及车联网下的智能交通系统。】

时间：周二 4月17日下午2:00
地点：交通运输学院6楼会议室