Abstract
This paper compares the operation of a decentralized Nash bargaining traffic signal controller (DNB) to the operation of state-of-the-art adaptive and gating traffic signal control. Perimeter control (gating), based on the network fundamental diagram (NFD), was applied on the borders of a protected urban network (PN) to prevent and/or disperse traffic congestion. The operation of gating control and local adaptive controllers was compared to the operation of the developed DNB traffic signal controller. The controllers were implemented and their performance assessed on a grid network in the INTEGRATION microscopic simulation software. The results show that the DNB controller, although not designed to solve perimeter control problems, successfully prevents congestion from building inside the PN and improves the performance of the entire network. Specifically, the DNB controller outperforms both gating and non-gating controllers, with reductions in the average travel time ranging between and , total delay ranging between and , and emission levels/fuel consumption ranging between and . The results demonstrate statistically significant benefits of using the developed DNB controller over other state-of-the-art centralized and decentralized gating/adaptive traffic signal controllers.
Highlights
Received: 14 December 2020 Accepted: 31 December 2020 Published: 3 January 2021Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.Traffic growth within urban roadway systems, in combination with limited available capacity, affects traveler mobility and air quality and impacts public health
We developed a traffic signal controller based on a decentralized Nash bargaining (NB) (DNB) [6,7] and showed that it is effective at improving network performance and reducing congestion
The results indicate that, applying the decentralized Nash bargaining traffic signal controller (DNB) controller, the protected urban network (PN) never reached the congested regime (Figure 6d)
Summary
Received: 14 December 2020 Accepted: 31 December 2020 Published: 3 January 2021Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.Traffic growth within urban roadway systems, in combination with limited available capacity, affects traveler mobility and air quality and impacts public health. Vehicles burn fuel at a higher rate in congestion, releasing emissions that contribute to air pollution, which is related to global warming [1]. These conditions can be improved by reducing congestion. Traffic signal controllers are one means of reducing congestion if traffic signals are adjusted properly, changing signal control variables such as phase sequences, cycle lengths, phase splits, and offsets. These controls can introduce significant improvements in traffic variables such as delays, travel times, and vehicle emissions
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