Traffic and granular flow: the role of data and technology in the understanding of particle dynamics-Reference-Cited by-同舟云学术

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Traffic and granular flow: the role of data and technology in the understanding of particle dynamics

Published:2020-10-30 Issue:6 Volume:24 Page:535-538
ISSN:1547-2450
Container-title:Journal of Intelligent Transportation Systems
language:en
Short-container-title:Journal of Intelligent Transportation Systems

Author:

Hamdar Samer¹,Talebpour Alireza²,Bertini Robert³

Affiliation:

1. Department of Civil and Environmental Engineering, George Washington University, Washington, DC, USA;

2. Department of Civil and Environmental Engineering, University of Illinois, Urbana-Champaign, Urbana, IL, USA;

3. School of Civil and Construction Engineering, Oregon State University, Corvallis, OR, USA

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/10.1080/15472450.2020.1838771

Reference14 articles.

1. Analysis of optimal velocity model with explicit delay

2. A behavioural car-following model for computer simulation

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1. Development of Parallel Algorithms for Intelligent Transportation Systems;Mathematics;2022-02-19

2. Smart City: An Intelligent Automated Mode of Transport Using Shortest Time of Travel Using Big Data;Frontiers of Data and Knowledge Management for Convergence of ICT, Healthcare, and Telecommunication Services;2021-05-18

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