The University of Southampton
University of Southampton Institutional Repository

Cyclists' path planning behavioral model at unsignalized mixed traffic intersections in China

Huang, Ling and Wu, Jianping (2009) Cyclists' path planning behavioral model at unsignalized mixed traffic intersections in China Intelligent Transportation Systems Magazine, IEEE, 1, (2), pp. 13-19. (doi:10.1109/MITS.2009.933859).

Record type: Article

Abstract

Study on the cyclist's path planning behavior in mixed traffic flow intersection is very important. The paper presents a fuzzy logic based behavior model to describe cyclist path planning behaviors at unsignalized intersections in mixed traffic flow situations (with many conflicts among motorcars, non-motor vehicles and pedestrians). Field data have been collected for fuzzy logic modeling, model calibration and validation, and the simulation results are promising. The model can be used in mixed traffic flow simulation and path planning models for Personal Mobility Vehicles (PMVs).

Full text not available from this repository.

More information

Published date: 24 September 2009
Keywords: behavioural sciences, fuzzy logic, human factors, path planning, road traffic

Identifiers

Local EPrints ID: 75636
URI: http://eprints.soton.ac.uk/id/eprint/75636
ISSN: 1939-1390
PURE UUID: f1144985-4bf5-4ab6-8b6c-ba20a6683ea3

Catalogue record

Date deposited: 12 Mar 2010
Last modified: 18 Jul 2017 23:42

Export record

Altmetrics

Contributors

Author: Ling Huang
Author: Jianping Wu

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×