Dynamic Clustering Meeting Points Strategy to Improve Operational Service Capability of Flex-Route Transit-Reference-Cited by-同舟云学术

Dynamic Clustering Meeting Points Strategy to Improve Operational Service Capability of Flex-Route Transit

Published:2023-06 Issue:6 Volume:149 Page:
ISSN:2473-2907
Container-title:Journal of Transportation Engineering, Part A: Systems
language:en
Short-container-title:J. Transp. Eng., Part A: Systems

Author:

Zhang Jin¹,Li Wenquan²^ORCID,Zheng Yue³,Guo Rongrong¹

Affiliation:

1. Ph.D. Candidate, School of Transportation, Southeast Univ., No. 2 Southeast University Rd., Nanjing 211189, PR China.

2. Professor, School of Transportation, Southeast Univ., No. 2 Southeast University Rd., Nanjing 211189, PR China (corresponding author). ORCID: .

3. Lecturer, School of Modern Posts and Institute of Modern Posts, Nanjing Univ. of Posts and Telecommunications, No. 66 Xinmofan Rd., Nanjing 210003, PR China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Transportation,Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/JTEPBS.TEENG-7692

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3. Designing the master schedule for demand-adaptive transit systems

4. Ester M. H. P. Kriegel J. Sander and X. Xu. 1996. “A density-based algorithm for discovering clusters in large spatial databases with noise.” In Vol. 96 of Proc. 2nd Int. Conf. on Knowledge Discovery and Data Mining 226–231. Trier Germany: The DBLP Computer Science Bibliography.

5. Planning, Implementation, and Evaluation of OmniRide Demand-Driven Transit Operations: Feeder and Flex-Route Services

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