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Abstract: In addressing the complex challenge of Traffic Signal Control (TSC), Deep Reinforcement Learning (DRL) has emerged as a popular solution. In traditional DRL methods applied to TSC problems, ...
1 Department of Electrical and Computer Engineering, Gulf University for Science and Technology, Hawally, Kuwait 2 Department of Engineering Management, GUST, Hawally, Kuwait Introduction: This study ...
Most of us have put the pedal to the metal a few times, and some of us have paid the fines as a result. Sadly, speeding-related crashes represented 29% of all traffic fatalities in 2021, according to ...
Discover how smart technology and real-time data are transforming rail traffic and route optimization for faster, more efficient freight movement. In today’s fast-paced supply chain environment, rail ...
Pedestrians cross 11th Street in Hoboken, N.J., where plastic flexible posts prevent vehicles from parking next to the crosswalk, in July. (Reena Rose Sibayan — Santa Cruz Local) Editor’s note: This ...
ABSTRACT: Road traffic flow forecasting provides critical information for the operational management of road mobility challenges, and models are used to generate the forecast. This paper uses a random ...
ABSTRACT: Road traffic flow forecasting provides critical information for the operational management of road mobility challenges, and models are used to generate the forecast. This paper uses a random ...