The University of Southampton
University of Southampton Institutional Repository

Mixed traffic modelling involving pedestrian dynamics for integrated street designs: a review

Mixed traffic modelling involving pedestrian dynamics for integrated street designs: a review
Mixed traffic modelling involving pedestrian dynamics for integrated street designs: a review
University of Science and Technology Beijing
Anvari, Bani
f94e2ccb-1d88-4980-8d29-f4281995d072
Majumdar, A.
1b1ccf17-56c6-4885-80a1-c09d4d5a1fd9
Ochieng, W.Y.
c3e146c9-8f8d-4297-8f64-0c9a4a1236e8
Song, Weiguo
Ma, Jian
Fu, Libi
Anvari, Bani
f94e2ccb-1d88-4980-8d29-f4281995d072
Majumdar, A.
1b1ccf17-56c6-4885-80a1-c09d4d5a1fd9
Ochieng, W.Y.
c3e146c9-8f8d-4297-8f64-0c9a4a1236e8
Song, Weiguo
Ma, Jian
Fu, Libi

Anvari, Bani, Majumdar, A. and Ochieng, W.Y. (2016) Mixed traffic modelling involving pedestrian dynamics for integrated street designs: a review. Song, Weiguo, Ma, Jian and Fu, Libi (eds.) In Proceedings of Pedestrian and Evacuation Dynamics 2016. University of Science and Technology Beijing..

Record type: Conference or Workshop Item (Paper)

Full text not available from this repository.

More information

Accepted/In Press date: 10 April 2016
e-pub ahead of print date: October 2016
Venue - Dates: International Conference on Pedestrian and Evacuation Dynamics (PED 2016), China, 2016-10-17 - 2016-10-21
Organisations: Transportation Group

Identifiers

Local EPrints ID: 402903
URI: http://eprints.soton.ac.uk/id/eprint/402903
PURE UUID: 401c6923-59e6-4a30-8fda-d9882e248ea4
ORCID for Bani Anvari: ORCID iD orcid.org/0000-0001-7916-7636

Catalogue record

Date deposited: 18 Nov 2016 10:18
Last modified: 14 Mar 2019 01:26

Export record

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.

×