State-of-art review of traffic signal control methods: challenges and opportunities
Introduction Due to the menacing increase in the number of vehicles on a daily basis,
abating road congestion is becoming a key challenge these years. To cope-up with the …
abating road congestion is becoming a key challenge these years. To cope-up with the …
Game theory applications in traffic management: A review of authority-based travel modelling
With the exponential growth in urbanization, urban traffic congestion has become a
challenging task with an adverse impact on the economic structure and ecosystem …
challenging task with an adverse impact on the economic structure and ecosystem …
A cooperative multiagent system for traffic signal control using game theory and reinforcement learning
M Abdoos - IEEE Intelligent Transportation Systems Magazine, 2020 - ieeexplore.ieee.org
Agent-based systems are widely used in urban traffic network modeling. Cooperation is an
important feature of multiagent systems (MASs), especially those that are used in a dynamic …
important feature of multiagent systems (MASs), especially those that are used in a dynamic …
Nash Equilibrium and Stackelberg Approach for Traffic Flow Optimization in Road Transportation Networks—A Case Study of Warsaw
The article discusses the issue of modelling traffic flows and the transport network. Faced
with an increase in the number of vehicles in road networks, the problem of congestion and …
with an increase in the number of vehicles in road networks, the problem of congestion and …
Develo** a neural–Kalman filtering approach for estimating traffic stream density using probe vehicle data
This paper presents a novel model for estimating the number of vehicles along signalized
approaches. The proposed estimation algorithm utilizes the adaptive Kalman filter (AKF) to …
approaches. The proposed estimation algorithm utilizes the adaptive Kalman filter (AKF) to …
Real-time estimation of vehicle counts on signalized intersection approaches using probe vehicle data
This paper presents a novel method for estimating the number of vehicles traveling along
signalized approaches using probe vehicle data only. The proposed method uses the …
signalized approaches using probe vehicle data only. The proposed method uses the …
A novel decentralized game-theoretic adaptive traffic signal controller: Large-scale testing
This paper presents a novel de-centralized flexible phasing scheme, cycle-free, adaptive
traffic signal controller using a Nash bargaining game-theoretic framework. The Nash …
traffic signal controller using a Nash bargaining game-theoretic framework. The Nash …
Development and testing of a novel game theoretic de-centralized traffic signal controller
The paper presents a novel de-centralized traffic signal controller, achieved using a Nash
bargaining game-theoretic framework, that operates a flexible phasing sequence to adapt to …
bargaining game-theoretic framework, that operates a flexible phasing sequence to adapt to …
Multi‐criteria evolutionary optimization of a traffic light using genetics algorithm and teaching‐learning based optimization
Today, the development of urbanization and increasing the number of vehicles has resulted
in displeased consequences like traffic congestion and vehicle queuing. The vast majority of …
in displeased consequences like traffic congestion and vehicle queuing. The vast majority of …
Develo** a de-centralized cycle-free nash bargaining arterial traffic signal controller
This paper presents a novel de-centralized cycle-free traffic signal controller that adapts to
changes in traffic demand. Traffic signal timing optimization is achieved using a Nash …
changes in traffic demand. Traffic signal timing optimization is achieved using a Nash …