In-Depth Evaluation of Reinforcement Learning Based Adaptive Traffic Signal Control Using TSCLAB

Author:

Pavleski Daniel,Miletić Mladen,Nečoska Daniela Koltovska,Ivanjko Edouard

Publisher

Springer International Publishing

Reference14 articles.

1. Dakic I et al (2018) Upgrade evaluation of traffic signal assets: high-resolution performance measurement framework. PROMET Traffic Transport 30(3):323–332

2. Day C et al (2014) Performance measures for traffic signal systems: an outcome-oriented approach. Purdue University, West Lafayette, Indiana, USA

3. Day C et al (2015) Integrating traffic signal performance measures into agency business processes. Purdue University, West Lafayette, Indiana, USA

4. El-Tantawy S et al (2013) Multiagent reinforcement learning for integrated network of adaptive traffic signal controllers (MARLIN-ATSC): methodology and large-scale application on downtown Toronto. IEEE Trans ITS 14(3):1140–1150

5. Gettman D et al (2013) Measures of effectiveness and validation guidance for adaptive signal control technologies. US Department of Transportation, Federal Highway Administration

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