Real-time deep reinforcement learning based vehicle navigation
Traffic congestion has become one of the most serious contemporary city issues as it leads
to unnecessary high energy consumption, air pollution and extra traveling time. During the …
to unnecessary high energy consumption, air pollution and extra traveling time. During the …
Ant colony optimisation for vehicle traffic systems: applications and challenges
Ant-based algorithms simulate the cooperative behaviour of real ants in finding food
resources. A significant number of studies have focused on the self-organised behaviour of …
resources. A significant number of studies have focused on the self-organised behaviour of …
A review on recent traffic congestion relief approaches
Traffic congestion is a global and crucial problem due to increase in demand and limited
network transportation structure. Complex traffic structure, imbalanced traffic flow, and …
network transportation structure. Complex traffic structure, imbalanced traffic flow, and …
Green vehicle traffic routing system using ant-based algorithm
Vehicle traffic congestion leads to air pollution, driver frustration, and costs billions of dollars
annually in fuel consumption. Finding a proper solution to vehicle congestion is a …
annually in fuel consumption. Finding a proper solution to vehicle congestion is a …
Estimating the effects of “community opening” policy on alleviating traffic congestion in large Chinese cities by integrating ant colony optimization and complex network …
According to an urban planning directive issued by the Chinese Central Government in early
2016, the Community Opening Policy will be put on the agenda to ameliorate transportation …
2016, the Community Opening Policy will be put on the agenda to ameliorate transportation …
Study of group route optimization for IoT enabled urban transportation network
KS Sang, B Zhou, P Yang… - 2017 IEEE International …, 2017 - ieeexplore.ieee.org
Traffic congestion is always a major issue in urban planning, especially when the vehicles in
the roadway keep growing and the local authorities are lack of solutions to manage or …
the roadway keep growing and the local authorities are lack of solutions to manage or …
[HTML][HTML] FLDQN: Cooperative Multi-Agent Federated Reinforcement Learning for Solving Travel Time Minimization Problems in Dynamic Environments Using SUMO …
The increasing volume of traffic has led to severe challenges, including traffic congestion,
heightened energy consumption, increased air pollution, and prolonged travel times …
heightened energy consumption, increased air pollution, and prolonged travel times …
A dynamic vehicular traffic control using ant colony and traffic light optimization
Vehicle traffic congestion problem in urban areas due to increased number of vehicles has
received increased attention from industries and universities researchers. This problem not …
received increased attention from industries and universities researchers. This problem not …
NetLogo implementation of an ant colony optimisation solution to the traffic problem
Current traffic control systems regulate traffic flows only by switching traffic lights according
to historical data. Status‐prediction and routing services also rely on historical data and as …
to historical data. Status‐prediction and routing services also rely on historical data and as …
A Pervasive Study on the Internet of Vehicles (IoVs)
The era of 5G with Internet of Things (IoT) has led off future Internet providing faster and
reliable communication by revolutionizing the present Internet scenario. Thereby attracting …
reliable communication by revolutionizing the present Internet scenario. Thereby attracting …