Heuristic Algorithms to Solve 0-1 Mixed Integer LP Formulations for Traffic Signal Control Problems
In this paper, three heuristic solution algorithms, (the Dive-and-Fix method, the Ratio-cluster method, and the Cumulative-departure method) are specially designed to solve the traffic signal control problem formulated as a 0-1 mixedinteger linear programming problem with cell transmission model. These three solution algorithms are based on two fundamental approaches. First, the 0-1 mixed-integer linear program is solved via linear relaxation (LR). Second, the noninteger solutions obtained from the LR are converted into the integer solutions by taking advantage of the underlying physical mechanism embedded in the LR solutions that lead to the optimal signal control. In particular, proportional capacities for different approaches and the cumulative exit flow at each intersection obtained from the LR solutions are utilized to determine green time allocation for each approach. It is demonstrated that the near-optimal solutions obtained with these algorithms are very close to the optimal solutions under both uncongested and congested traffic conditions.
Traffic signal control cell transmission model heuristic algorithms linear relaxations.
Qing He Wei-Hua Lin Hongchao Liu K. Larry Head
Systems & Industrial Engineering, University of Arizona, Tucson, AZ 85721 USA Department of Civil Engineering, Texas Tech University, Lubbock, TX 79409, USA.
国际会议
青岛
英文
118-124
2010-07-15（万方平台首次上网日期，不代表论文的发表时间）