Analysis of interrelationship between pedestrian flow parameters using artificial neural network-Reference-Cited by-同舟云学术

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Analysis of interrelationship between pedestrian flow parameters using artificial neural network

Published:2015-11-27 Issue:4 Volume:23 Page:298-309
ISSN:2095-087X
Container-title:Journal of Modern Transportation
language:en
Short-container-title:J. Mod. Transport.

Author:

Das Pritikana,Parida M.,Katiyar V. K.

Funder

CSIR-CRRI

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Computer Science Applications,Mechanical Engineering,Transportation

Link

http://link.springer.com/content/pdf/10.1007/s40534-015-0088-9.pdf

Reference38 articles.

1. Roess RP, Prassas ES, McShane WR (2004) Traffic engineering. Prentice Hall, Upper Saddle River

2. Chakroborty P, Das A (2003) Principles of transportation engineering. PHI Learning Pvt. Ltd, New Delhi

3. Garber N, Hoel L (2014) Traffic and highway engineering. Cengage Learning, Toronto

4. May AD (1990) Traffic flow fundamentals. Prentice Hall, Englewood Cliffs

5. Fruin JJ (1971) Pedestrian planning and design. Elevator World Inc., Ala., New York

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