Reinforcement Learning-based Control of Signalized Intersections having Platoons
Date
2022Author
Berbar, A.Gastli, A.
Meskin, Nader
Al-Hitmi, M.
Ghommam, J.
Mesbah, M.
Mnif, F.
...show more authors ...show less authors
Metadata
Show full item recordAbstract
Smart transportation cities are based on intelligent systems and data sharing while human drivers generally have limited capabilities and imperfect observations in traffics. The perception of Connected and Autonomous Vehicle (CAV) utilizes data sharing through Vehicle-To-Vehicle (V2V) and Vehicle-To-Infrastructure (V2I) communications to improve driving behaviors and reduce traffic delays and fuel consumption. This paper proposes a Double Agent (DA) intelligent traffic signal module based on the Reinforcement Learning (RL) method where the first agent named as Velocity Agent (VA) aims to minimize the fuel consumption by controlling the speed of platoons and single CAVs crossing a signalized intersection, while the second agent named as Signal Agent (SA) proceeds to efficiently reduce traffic delays through signal sequencing and phasing. Several simulation studies are conducted for a signalized intersection with different traffic flows and the performance of a single-agent with only the VA, DA with both VA and SA, and Intelligent Driver Model (IDM) are compared. It is shown that the proposed DA solution improves the average delay by 47.3% and the fuel efficiency by 13.6% compared to the Intelligent Driver Model (IDM).
Collections
- Electrical Engineering [2414 items ]
Related items
Showing items related by title, author, creator and subject.
-
A Case Study for Surrogate Safety Assessment Model in Predicting Real-Life Conflicts
Ghanim M.S.; Shaaban K. ( Springer Verlag , 2019 , Article)Conflict techniques enable transportation engineers to investigate hazardous network locations without the need to obtain crash data. These techniques are the most developed indirect measure of traffic safety. The concept ... -
Defensive or competitive Autonomous Vehicles: Which one interacts safely and efficiently with pedestrians?
Hong, Zhu; Alhajyaseen, Wael; Iryo-Asano, Miho; Nakamura, Hideki; Dias, Charitha ( Elsevier , 2022 , Article)The emergence of Autonomous Vehicles (AVs) could provoke unexpected challenges in urban traffic environments. One such crucial challenge is the conflicts between pedestrians and AVs, particularly on unsignalized mid-block ... -
Traffic safety culture of professional drivers in the State of Qatar
Timmermans C.; Alhajyaseen W.; Reinolsmann N.; Nakamura H.; Suzuki K. ( Elsevier B.V. , 2019 , Article)Professional drivers play a significant role within the traffic system of the State of Qatar. With developing infrastructure, the need for professional drivers is growing. However, knowledge is lacking about their perception ...