| Traditional arterial traffic signal coordination methods are focused on providing uninterrupted flow along the arterial direction only. These methods typically utilize individual intersections' turning movement counts as the input and do not consider the actual origins and destinations of those vehicles. For many real-world traffic control problems, the arterial traffic streams are not continuously through traffic but a composition of different origin-destination (OD) flows joining the arterial at one cross street and leaving it at another. Traffic control plans optimized using the traditional traffic signal coordination methods may lead to unnecessary waiting times and may increase the overall network delay. Obviously, it is important to model such major OD flows and create dedicated progression bands for them. However, this task is challenging without proper mathematical models and without knowing the origin and destination information of all vehicles. With the advances in sensor technologies, it is possible to obtain such origin and destination information at a reasonable cost with high degree of accuracy.;This research aims to fill the gap of developing a more versatile traffic signal coordination method that can effectively take into consideration of major turning traffic streams from and to cross streets; and allocating a separate progression band for each major O-D traffic stream.;This new method is formulated for arterial and grid network traffic signal coordination problems are formulated as mixed-integer linear programs and are solved by IBM ILOG CPLEX Optimization Studio. Different case studies are conducted using AIMSUN microscopic simulations, to demonstrate the proposed method's superiority compared to existing traffic signal optimization methods studied in the literature and used in the industry.;Keywords: optimization, arterial traffic signal coordination, progression, AIMSUN simulation, Synchro, Transyt-7F, MAXBAND, MULTIBAND, MAXBAND-86, MULTIBAND-96, mixed integer linear programming. |
