Journal ArticleDOI
The impact of real-time information in a two-route scenario using agent-based simulation
TLDR
This paper addresses a basic two-route scenario with different types of information and studies the impact of it using simulations, pointing out that the nature of the information very much influences the potential benefits of the ATIS.Abstract:
Since advanced traveler information systems (ATIS) have been introduced, their potential benefits as well as their drawbacks have been discussed controversially. This will continue as long as the drivers’ reactions upon current or even predictive information about the traffic situation are not known. Thus, traffic models that also consider this feedback are necessary. In this paper, we address a basic two-route scenario with different types of information and study the impact of it using simulations. The road users are modeled as agents, a natural and promising approach to describe them. Different ways of generating current information are tested. It is pointed out that the nature of the information very much influences the potential benefits of the ATIS.read more
Citations
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Journal ArticleDOI
A Review of the Applications of Agent Technology in Traffic and Transportation Systems
Bo Chen,Harry H. Cheng +1 more
TL;DR: This paper examines an agent- based approach and its applications in different modes of transportation, including roadway, railway, and air transportation, and addresses some critical issues in developing agent-based traffic control and management systems, such as interoperability, flexibility, and extendibility.
Journal ArticleDOI
A review on agent-based technology for traffic and transportation
Ana L. C. Bazzan,Franziska Klügl +1 more
TL;DR: In the present paper, the literature related to the areas of agent-based traffic modelling and simulation, and agent- based traffic control and management is reviewed.
Journal ArticleDOI
A Distributed Approach for Coordination of Traffic Signal Agents
TL;DR: A coordination concept is used, which overcomes some disadvantages of the existing methods and makes use of techniques of evolutionary game theory, and some application in traffic scenarios are discussed in order to evaluate the feasibility of transferring the responsibility of traffic signal coordination to agents.
Journal ArticleDOI
Opportunities for multiagent systems and multiagent reinforcement learning in traffic control
TL;DR: This paper has two main objectives: to present problems, methods, approaches and practices in traffic engineering (especially regarding traffic signal control); and to highlight open problems and challenges so that future research in multiagent systems can address them.
Journal ArticleDOI
POLARIS: Agent-based modeling framework development and implementation for integrated travel demand and network and operations simulations
TL;DR: In this article, the authors present an agent-based modeling software development kit, and the implementation and validation of a model using it that integrates dynamic simulation of travel demand, network supply and network operations.
References
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