Bus-Car Mode Identification: Traffic Condition–Based Random-Forests Method-Reference-Cited by-同舟云学术

Bus-Car Mode Identification: Traffic Condition–Based Random-Forests Method

Published:2020-10 Issue:10 Volume:146 Page:04020113
ISSN:2473-2907
Container-title:Journal of Transportation Engineering, Part A: Systems
language:en
Short-container-title:J. Transp. Eng., Part A: Systems

Author:

Zong Fang¹,Zeng Meng²,He Zhengbing³^ORCID,Yuan Yixin⁴

Affiliation:

1. Professor, College of Transportation, Jilin Univ., China; mailing address: No. 5988 Renmin St., Nanguan District, Changchun 130022, China.

2. Ph.D. Candidate, College of Transportation, Jilin Univ., China; mailing address: No. 5988 Renmin St., Nanguan District, Changchun 130022, China.

3. Professor, College of Metropolitan Transportation, Beijing Univ. of Technology, China; mailing address: No. 100 Pingleyuan Rd., Chaoyang District, Beijing 100044, China (corresponding author). ORCID: .

4. Master, Center of Automotive Data, China Automotive Technology and Research Center Co. Ltd., Tianjin, China; mailing address: New City Center B, No. 3, Wanhui Rd., Xiqing District, Tianjin 300393, China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Transportation,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/JTEPBS.0000442

Reference37 articles.

1. Developing and Validating a Statistical Model for Travel Mode Identification on Smartphones

2. Impact of everyday weather on individual daily travel behaviours in perspective: A literature review;Böcker L.;Transp. Rev.,2013

3. Deriving and validating trip purposes and travel modes for multi-day GPS-based travel surveys: A large-scale application in the Netherlands

4. Evaluating the feasibility of a passive travel survey collection in a complex urban environment: Lessons learned from the New York City case study;Chen C.;Transp. Res. Part A: Policy Pract.,2010

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