Don't Go With the Ant Flow: Ant-Inspired Traffic Routing in Urban Environments-Reference-Cited by-同舟云学术

Don't Go With the Ant Flow: Ant-Inspired Traffic Routing in Urban Environments

Published:2014-09-10 Issue:1 Volume:19 Page:78-88
ISSN:1547-2450
Container-title:Journal of Intelligent Transportation Systems
language:en
Short-container-title:Journal of Intelligent Transportation Systems

Author:

Dallmeyer Jörg¹,Schumann René²,Lattner Andreas D.¹,Timm Ingo J.³

Affiliation:

1. Institute of Computer Science, Goethe University Frankfurt, Frankfurt am Main, Germany

2. Institute of Business Information Systems, HES-SO-Valais, Sierre, Switzerland

3. Computer Science Department, Business Informatics University of Trier, Trier, Germany

Publisher

Informa UK Limited

Subject

Applied Mathematics,Computer Science Applications,Aerospace Engineering,Automotive Engineering,Information Systems,Software,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/15472450.2014.941758

Reference31 articles.

1. Ant Colony Optimization for traffic dispersion routing

2. Large-Scale Multi-Agent Simulations for Transportation Applications

3. Re-routing Agents in an Abstract Traffic Scenario

4. Avoiding Traffic Jam Using Ant Colony Optimization - A Novel Approach

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