Ruskin, Heather J. ORCID: 0000-0001-7101-2242 and Deo, Puspita (2006) Simulation of heterogeneous motorised traffic at a signalised intersection. In: ACRI 2006 - 7th International Conference on Cellular Automata, for Research and Industry, 20-23 Sept 2006, Perpignan, France. ISBN 978-3-540-40929-8
Abstract
The characteristics of heterogeneous traffic (with variation in vehicle length) are significantly different from those for homogeneous traffic. The present study describes an overview of the development and validation of a stochastic heterogeneous traffic-flow simulation model for an urban single-lane two-way road, with controlled intersection. In this paper, the interaction between vehicle types during manoeuvres at the intersection are analysed in detail. Two different motorised vehicle types are considered namely cars and buses (or similar length vehicles). A two-component cellular automata (CA) based model is used. Traffic flow data, captured manually by Dublin City Council at a local intersection, are analysed to give a baseline on how the distribution of short and long vehicles affect throughput. It is anticipated that such detailed studies will aid traffic management and optimisation strategies for traffic flow.
Metadata
Item Type: | Conference or Workshop Item (Paper) |
---|---|
Event Type: | Conference |
Refereed: | Yes |
Additional Information: | The original publication is available at www.springerlink.com |
Uncontrolled Keywords: | heterogeneous motorised traffic; two-component cellular automata; |
Subjects: | Computer Science > Computational complexity Mathematics > Stochastic analysis |
DCU Faculties and Centres: | DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing |
Published in: | Cellular Automata. Lecture Notes in Computer Science 4173/2. Springer Verlag. ISBN 978-3-540-40929-8 |
Publisher: | Springer Verlag |
Official URL: | http://dx.doi.org/10.1007/11861201_60 |
Copyright Information: | © 2006 Springer |
Use License: | This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License |
ID Code: | 8 |
Deposited On: | 31 Oct 2006 by DORAS Administrator . Last Modified 08 Feb 2019 15:58 |
Documents
Full text available as:
Preview |
PDF
- Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
428kB |
Downloads
Downloads
Downloads per month over past year
Archive Staff Only: edit this record