|M.Sc Student||Uwayid Wasim|
|Subject||Max-Pressure Traffic Signal Control Based on Bluetooth|
|Department||Department of Civil and Environmental Engineering||Supervisor||Professor Jack Haddad|
|Full Thesis text|
Urban areas face major congestion at intersections causing under-utilization of the installed infrastructure. Most applied control systems are centralized, which require coordination and communication between the intersections’ controllers and a control center. In addition, these controllers use real-time data that is collected using loop detectors and/or CCTV cameras. These methods require complex installation and expensive maintenance.
In this work a decentralized approach is studied. An adaptation to the recently proposed max-pressure controller, which is proven to maximize throughput and stabilize the queues of urban areas, is tested in simulations. New input is suggested to replace the common used input for such controllers which is queue lengths. The new input is travel time that is estimated using Bluetooth sensors deployed in the network.
The objective is to provide new data as input while proving the capability of the new controller to perform similarly as when using regular input or even better. The new input is tested and analyzed under several micro-simulation networks, e.g. isolated intersection, two intersections, five intersections. Simulations are conducted, using a traffic modelling software, suggesting that the developed controller can be suggested as an alternative to other decentralized controllers. In addition, a real case study network located in Jerusalem is tested in micro-simulation. The data regarding the new input is checked, to see if suitable for implementation, through several data collection analysis. The obtained results evince the performance of the new proposed controller. The developed controller is compared, in terms of queue lengths and throughput, to similar controller that adapts the recently proposed max-pressure controller concept using queue lengths as input. The developed controller can be utilized for traffic networks and it can perform efficiently.