Network Control System of Traffic Signal Based on IP

Traffic Network System Control Based on Hybrid Dynamical System

Traffic Network Control Based on Hybrid System Modeling

Knowledge - Based Expert System in Traffic Signal Control Systems

Knowledge based expert systems (KBESs) have been developed in the field of artificial intelligence (AI). The aim of knowledge-based expert system is emulation and imitating social problems and then providing human-solving behaviour in complex real world tasks. The potentiality of such systems and their possibilities of application to transport problems have generated considerablely within the t...

Reinforcement learning-based multi-agent system for network traffic signal control

A challenging application of artificial intelligence systems involves the scheduling of traffic signals in multi-intersection vehicular networks. This paper introduces a novel use of a multi-agent system and reinforcement learning (RL) framework to obtain an efficient traffic signal control policy. The latter is aimed at minimising the average delay, congestion and likelihood of intersection cr...

The Accuracy of Cell-based Dynamic Traffic Assignment: Impact of Signal Control on System Optimality

Dynamic Traffic Assignment (DTA) provides an approach to determine the optimal path and/or departure time based on the transportation network characteristics and user behavior (e.g., selfish or social). In the literature, most of the contributions study DTA problems without including traffic signal control in the framework. The few contributions that report signal control models are either mixe...