Prediction Model of Bus Arrival Time at Signalized Intersection Using GPS Data-Reference-Cited by-同舟云学术

Prediction Model of Bus Arrival Time at Signalized Intersection Using GPS Data

Published:2012-01 Issue:1 Volume:138 Page:12-20
ISSN:0733-947X
Container-title:Journal of Transportation Engineering
language:en
Short-container-title:J. Transp. Eng.

Author:

Bie Yiming¹²³,Wang Dianhai¹²³,Qi Hongsheng¹²³

Affiliation:

1. Ph.D. Candidate, Transportation College, Nanling Campus, Jilin Univ., Changchun, Jilin 130022, China.

2. Professor, Civil Engineering and Architecture College, Zijingang Campus, Zhejiang Univ., Hangzhou, Zhejiang 310058, China (corresponding author).

3. Postdoctor, Civil Engineering and Architecture College, Zhejiang Univ., Hangzhou, Zhejiang 310058, China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Transportation,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29TE.1943-5436.0000310

Reference9 articles.

1. Dynamic Bus Arrival Time Prediction with Artificial Neural Networks

2. Dynamic Travel Time Prediction with Real-Time and Historic Data

3. Frechette L. and Khan A. (1998). “Bayesian regression-based urban traffic models.” Transportation Research Record 1644 Transportation Research Board Washington DC 157–165.

4. Jeong R. and Rilett L. (2004). “The prediction of bus arrival time using AVL data.” Transportation Research Board 83rd Annual Meeting (CD-ROM) Washington DC.

5. Liu H. Skabardonis A. Zhang W. (2004). “Optimal detector location for bus signal priority.” Transportation Research Record 1867 Transportation Research Board Washington DC 144–150.

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