Abstract
This paper examines the effects of policies on coordinated traffic signal control using a multi-objective framework inspired by the Pareto front concept. The Pareto front describes the set of optimal outcomes in a space defined by multiple objectives. This concept is applied to a nine-intersection signalized corridor in a microsimulation study comparing performance from an array of conventional signal control policies that represent a spectrum of options with performance tradeoffs between locally optimal and system optimal control. This is used to identify a Pareto front using delays for coordinated and non-coordinated movements, which offers a frame of reference for comparing the performance of adaptive control algorithms. Two different real-time adaptive control algorithms, a self-organizing algorithm and a schedule-based algorithm, are examined and their performance compared to the Pareto front of conventional controls. The self-organizing algorithm was found to extend the region of feasible performance beyond the capabilities of the conventional methods in different directions relative to the Pareto front.
Keywords:
- traffic signal timing
- adaptive control
- performance measures
How to Cite:
Yang, Y., Shams, A., Day, C., Yang, Y., Shams, A., Yang, Y. & Shams, A.,
(2021) “Application of Pareto Front to Evaluate Adaptive Traffic Signal Timing for Multiple Objectives”,
Journal of Modern Mobility Systems 2.
doi: https://doi.org/10.13021/jmms.2021.3172