Self-Organizing Traffic Signals for Arterial Control.

详细信息   

• 作者：Cesme ; Burak.
• 学历：Doctor
• 年：2013
• 导师：Furth,Peter G.,eadvisorDulaski,Daniel M.ecommittee memberKoutsopoulos,Haris N.ecommittee memberMelachrinoudis,Emanuelecommittee member
• 毕业院校：Northeastern University
• Department：Civil and Environmental Engineering.
• ISBN：9781303034336
• CBH：3558829
• Country：USA
• 语种：English
• FileSize：3341541
• Pages：208

文摘

Actuated signal control is very efficient for isolated intersections,but along arterials it lacks the means to synchronize signals,leading to frequent stops. Industry practice in the United States is to use fixed cycle coordination for arterial control,with signals running with a common cycle and offsets that ensure good progression. However,fixed cycle coordination has many limitations. Among them is the inability to respond to variations in traffic demand,increased delay for non-coordinated movements,and a low degree of flexibility for accommodating transit signal priority TSP). This research proposes a new paradigm for arterial signal control,&ldquo；self-organizing traffic signals&rdquo；. The proposed logic begins with a foundation of actuated control,but with added rules that can lead signals to synchronize with their &ldquo；neighboring&rdquo； intersections to provide coordination. The objectives of this research are: 1. To develop control algorithms that are free of any cycle length,but still have coordination mechanisms through communication among neighboring intersections,making them self-organizing at an arterial level. 2. To develop control algorithms to improve the efficiency of actuated control on local level,particularly with respect to gap-out on multi-lane approaches. 3. To achieve a flexible signal control framework that has the ability to respond to fluctuations in traffic demand and recover from TSP interruptions. 4. To develop control policies for oversaturated arterials,which focus on maximizing the throughput to limit oversaturation and manage growing queues. To test the performance of self-organizing logic,three real corridors and a benchmark network,were modeled in a micro-simulation model,VISSIM. Simulation results indicated the success of the proposed self-organizing logic. During under-saturated periods,self-organizing signals resulted in delay reductions of up to 14% compared to an optimized coordinated-actuated scheme without TSP. When TSP was applied,self-organizing signals yielded delay reductions of 19% to 50% in transit delay with very little impact to private traffic. During oversaturation,simulation tests using the benchmark network showed 45% less delay than coordinated control and 4% less than a real-time optimizing control method designed for oversaturated arterials. Simulation tests on two corridors also showed delay reductions of 8% and 35% compared to coordinated control.