Applicable Condition Study on Several Traffic Signal Control Algorithms by Delay Criterion
Date Issued
2010
Date
2010
Author(s)
Yang, Li-Kai
Abstract
With the rapid development of economy, vehicle flow has increased alarmingly in the metropolis. This usually leads to traffic jams when the road capacity fails to satisfy the traffic demand. General methods to solve this problem include extending road infrastructure and setting up strategies for traffic management. If the former fails, better traffic management has to be adopted, one important object of which is traffic signal logic. Since earlier traffic signal control logic which adopted time-of-day (TOD) scheduling/pre-time control cannot meet the need of traffic flow and variation, many traffic signal control logics such as half-actuated control, full-actuated control, Kalman Filter, Gene Arithmetic, and Quasi-nerve Network adopted for signal traffic control logic and dualistic traffic control logic, and program-based signal traffic control logic were developed.
Although the traffic signal control logics mentioned above have been found in many studies, the criterion for selecting an optimal control-logic along traffic conditions through assessments in the same level regarding their performances and are few. Therefore, four types of usual traffic control logics are compared in this paper including time-of-day pre-time control, full-actuated control, dynamic -computing control with Kalman Filter, and adaptive control improved from the Optimization Policies for Adaptive Control. A micro-traffic flow simulation synchronously operated with multiple control logics is developed herein to manipulate a signalized intersection in various traffic patterns. On the simulation, the number of passing vehicles, stop vehicles, total waiting time, and total delay time in each period are calculated among these four types of control under different traffic flow contexts. Based on the results and comparisons, the criterion for selecting an optimal control-logic along traffic conditions in terms of traffic parameters is obtained. The resulted criterion can be taken as online traffic control execution to switching control logic in terms of real-time traffic conditions as well as a reference of developing an intelligent signal controller or system.
Subjects
Traffic Flow Simulation
Traffic Control
Full Actuated Control
Dynamic Calculated Control
Adaptive Control
Type
thesis
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