Toward a thousand lights: Decentralized deep reinforcement learning for large-scale traffic signal control

C Chen, H Wei, N Xu, G Zheng, M Yang, Y Xiong… - Proceedings of the AAAI …, 2020 - aaai.org
Traffic congestion plagues cities around the world. Recent years have witnessed an
unprecedented trend in applying reinforcement learning for traffic signal control. However …

Operational performance evaluation of adaptive traffic control systems: A Bayesian modeling approach using real-world GPS and private sector PROBE data

ZH Khattak, MJ Magalotti… - Journal of Intelligent …, 2020 - Taylor & Francis
This evaluation ascertained the operational impacts of the SUTRAC (Scalable Urban Traffic
Control) Adaptive Signal Control Technology (ASCT) in an urban corridor consisting of 23 …

Comparative study of simulated annealing, tabu search, and the genetic algorithm for calibration of the microsimulation model

AD Lidbe, AM Hainen, SL Jones - Simulation, 2017 - journals.sagepub.com
Microsimulation modeling is one of the contemporary techniques that has potential to
perform complex transportation studies faster, safer, and in a less expensive manner …

Statistical study of the impact of adaptive traffic signal control on traffic and transit performance

C Slavin, W Feng, M Figliozzi… - Transportation …, 2013 - journals.sagepub.com
The Sydney Coordinated Adaptive Traffic System (SCATS) is designed to improve mobility
on congested corridors with variable demand; SCATS is expected to improve transit …

Internet of Things network cognition and traffic management system

A Sharif, JP Li, MI Sharif - Cluster Computing, 2019 - Springer
In a world of ever increasing technological diversity and an advancing 'Internet of
Things'(IoTs), business landscapes are changing. New conditions alter the way in which …

Recursive least-squares temporal difference learning for adaptive traffic signal control at intersection

B Yin, M Dridi, AE Moudni - Neural Computing and Applications, 2019 - Springer
This paper presents a new method to solve the scheduling problem of adaptive traffic signal
control at intersection. The method involves recursive least-squares temporal difference …

Evaluating robustness of signal timings for varying traffic flows

A Stevanovic, C Kergaye… - Transportation research …, 2011 - journals.sagepub.com
Traffic signal systems are usually retimed on the basis of sampled traffic counts. Yet limited
traffic data may not represent typical conditions for optimizing traffic signal systems. When …

[PDF][PDF] Comparative assessment of arterial operations under conventional time-of-day and adaptive traffic signal control.

A Lidbe, E Tedla, A Hainen, A Sullivan… - Advances in …, 2017 - academia.edu
This paper compares three principal arterial corridors in Alabama under both conventional
and adaptive traffic signal control (ATSC). The corridors differ in their physical and …

Long-term benefits of adaptive traffic control under varying traffic flows during weekday peak hours

A Stevanovic, C Kergaye… - Transportation research …, 2012 - journals.sagepub.com
When adaptive traffic control systems (ATCSs) are evaluated, traffic signal engineers and
practitioners often collect data for a few weeks before and after installation. Benefits are then …

Analytical techniques for evaluating the implementation of adaptive traffic signal control systems

AD Lidbe, EG Tedla, AM Hainen… - Journal of Transportation …, 2017 - ascelibrary.org
Adaptive traffic signal control (ATCS) reduces congestion, improves travel time reliability,
and prolongs the effectiveness of traffic signal timing. The objective of this paper is to …