An Optimal Road Network Design Model with Traffic Congestion and its Application

Optimal route in a road traffic network

We develop a road traffic Cellular Automata model suitable to an urban environment. North, east, south and west car displacements are possible and road crossings are naturally implemented as rotary junctions. We consider the traffic in a small part of Amsterdam, a Manhattan city-like area. Besides the simulation, we apply a Reinforcement Learning technique to derive optimal routes. The Reinforc...

The Economic Costs of Road Traffic Congestion

Alleviating Traffic Congestion: Alternatives to Road Pricing

Modeling Road Traffic Congestion by Quasi-Dynamic Traffic Assignment

The paper deals with simulation of congested road networks through dynamic traffic assignment models and presents a new quasi-dynamic traffic assignment model that improves realism and effectiveness of both usual static traffic assignment models and other quasi-dynamic models recently introduced in the literature, as it simulates flow progression onto the network by moving link flows according ...

An Agent Model with Adaptive Weight-based Multi- objective Algorithm for Road-network Congestion Management

This paper proposes an agent model with adaptive weight-based multi-objective algorithm to manage road-network congestion problem. Our focus is to construct a quantitative index series to describe the road-network congestion distribution, and use such indexes as weights in the multi-objective algorithm to shunt vehicles on those congested links. First, a multi-agent system is built, where each ...