[HTML][HTML] Reinforcement learning in urban network traffic signal control: A systematic literature review
Improvement of traffic signal control (TSC) efficiency has been found to lead to improved
urban transportation and enhanced quality of life. Recently, the use of reinforcement …
urban transportation and enhanced quality of life. Recently, the use of reinforcement …
A comprehensive survey on VANET security services in traffic management system
MS Sheikh, J Liang - Wireless Communications and Mobile …, 2019 - Wiley Online Library
Recently, vehicular ad hoc networks (VANETs) embark a great deal of attention in the area
of wireless and communication technology and are becoming one of the prominent research …
of wireless and communication technology and are becoming one of the prominent research …
A deep reinforcement learning network for traffic light cycle control
Existing inefficient traffic light cycle control causes numerous problems, such as long delay
and waste of energy. To improve efficiency, taking real-time traffic information as an input …
and waste of energy. To improve efficiency, taking real-time traffic information as an input …
A survey of security services, attacks, and applications for vehicular ad hoc networks (vanets)
MS Sheikh, J Liang, W Wang - Sensors, 2019 - mdpi.com
Vehicular ad hoc networks (VANETs) are an emerging type of mobile ad hoc networks
(MANETs) with robust applications in intelligent traffic management systems. VANET has …
(MANETs) with robust applications in intelligent traffic management systems. VANET has …
On the integration of enabling wireless technologies and sensor fusion for next-generation connected and autonomous vehicles
The automotive industry is transitioning towards intelligent, connected, and autonomous
vehicles to avoid traffic congestion, conflicts, and collisions with increased driver safety …
vehicles to avoid traffic congestion, conflicts, and collisions with increased driver safety …
Toward collision-free and efficient coordination for automated vehicles at unsignalized intersection
With the significant advance of vehicle-to-everything (V2X) techniques, unsignalized
intersection coordination has been widely recognized to facilitate the development of …
intersection coordination has been widely recognized to facilitate the development of …
Adaptive neuro-fuzzy enabled multi-mode traffic light control system for urban transport network
With the enormous growth in the public and private vehicles fleet, traffic congestion is
increasing at a very high rate. To deal with this, an intelligent mechanism is required …
increasing at a very high rate. To deal with this, an intelligent mechanism is required …
Cooperative traffic signal control using multi-step return and off-policy asynchronous advantage actor-critic graph algorithm
Intelligent traffic signal control helps to reduce traffic congestion and thus has been studied
for a few decades. Multi-intersection cooperative traffic signal control (CTSC), which is more …
for a few decades. Multi-intersection cooperative traffic signal control (CTSC), which is more …
Leveraging multiagent learning for automated vehicles scheduling at nonsignalized intersections
Recent advancements of Vehicle-to-Everything (V2X) communication combined with
artificial intelligence (AI) technologies have shown enormous potentials for improving traffic …
artificial intelligence (AI) technologies have shown enormous potentials for improving traffic …
Communication and computing resource optimization for connected autonomous driving
Transportation system is facing a sharp disruption since the Connected Autonomous
Vehicles (CAVs) can free people from driving and provide good driving experience with the …
Vehicles (CAVs) can free people from driving and provide good driving experience with the …