Operational Scenario Definition in Traffic Simulation-Based Decision Support Systems: Pattern Recognition Using a Clustering Algorithm-Reference-Cited by-同舟云学术

Operational Scenario Definition in Traffic Simulation-Based Decision Support Systems: Pattern Recognition Using a Clustering Algorithm

Published:2019-04 Issue:4 Volume:145 Page:04019008
ISSN:2473-2907
Container-title:Journal of Transportation Engineering, Part A: Systems
language:en
Short-container-title:J. Transp. Eng., Part A: Systems

Author:

Chen Ying¹,Kim Jiwon²,Mahmassani Hani S.³

Affiliation:

1. Research Assistant Professor, Dept. of Civil and Environmental Engineering, Northwestern Univ., 600 Foster St., Evanston, IL 60208.

2. Assistant Professor, Dept. of Civil and Environmental Engineering, Univ. of Queensland, Brisbane, QLD 4072, Australia.

3. Professor, Dept. of Civil and Environmental Engineering, Northwestern Univ., 600 Foster St., Evanston, IL 60208 (corresponding author).

Publisher

American Society of Civil Engineers (ASCE)

Subject

Transportation,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/JTEPBS.0000222

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3. Dynamic data-driven local traffic state estimation and prediction

4. Categorizing freeway flow conditions by using clustering methods;Azimi M.;Transp. Res. Rec.,2010

5. Generating day-of-operation probabilistic capacity scenarios from weather forecasts;Buxi G.;Transp. Res. Part C: Emerging Technol.,2013

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