Machine Learning Approach to Decomposing Arterial Travel Time Using a Hidden Markov Model with Genetic Algorithm-Reference-Cited by-同舟云学术

Machine Learning Approach to Decomposing Arterial Travel Time Using a Hidden Markov Model with Genetic Algorithm

Published:2018-05 Issue:3 Volume:32 Page:04018005
ISSN:0887-3801
Container-title:Journal of Computing in Civil Engineering
language:en
Short-container-title:J. Comput. Civ. Eng.

Author:

Yang Shu¹,Chen Ming²,Wu Yao-Jan³^ORCID,An Chengchuan⁴

Affiliation:

1. Postdoctoral Scholar, Center for Urban Transportation Research, Univ. of South Florida, 4202 E. Fowler Ave., CUT 100, Tampa, FL 33620.

2. Graduate Research Assistant, Dept. of Civil Engineering and Engineering Mechanics, Univ. of Arizona, 1209 E. 2nd St., Tucson, AZ 85721.

3. Assistant Professor, Dept. of Civil Engineering and Engineering Mechanics, Univ. of Arizona, 1209 E. 2nd St., Tucson, AZ 85721 (corresponding author). ORCID: .

4. Ph.D. Candidate, Intelligent Transportation Research Center, Southeast Univ., 2 Sipailou Nanjing, Jiangsu 210096, China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Computer Science Applications,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CP.1943-5487.0000748

Reference25 articles.

1. Fundamental understanding on the use of Bluetooth scanner as a complementary transport data

2. Evaluation of Arterial Signal Coordination

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4. Multistate Model for Travel Time Reliability

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