Multiclass Probit-Based Origin–Destination Estimation Using Multiple Data Types-Reference-Cited by-同舟云学术

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Multiclass Probit-Based Origin–Destination Estimation Using Multiple Data Types

Published:2018-06 Issue:6 Volume:144 Page:04018018
ISSN:2473-2907
Container-title:Journal of Transportation Engineering, Part A: Systems
language:en
Short-container-title:J. Transp. Eng., Part A: Systems

Author:

Zhao Qing¹,Turnquist Mark A.²,Dong Zhijie³,He Xi⁴

Affiliation:

1. School of Civil and Environmental Engineering, Cornell Univ., 300 Boren Ave. N, Seattle, WA 98109 (corresponding author).

2. Professor, School of Civil and Environmental Engineering, Cornell Univ., 220 Hollister Dr., Ithaca, NY 14853.

3. Professor, Ingram School of Engineering, Texas State Univ., 601 University Dr., San Marcos, TX 78666.

4. School of Civil and Environmental Engineering, Cornell Univ., 220 Hollister Dr., Ithaca, NY 14853.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Transportation,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/JTEPBS.0000135

Reference19 articles.

1. Genetically-optimized origin-destination estimation (GOODE) model: application to regional commodity movements in Ontario

2. A Limited Memory Algorithm for Bound Constrained Optimization

3. Algorithm 778: L-BFGS-B

4. Unconstrained Extremal Formulation of Some Transportation Equilibrium Problems

5. A probabilistic multipath traffic assignment model which obviates path enumeration

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Estimating multi-class dynamic origin-destination demand through a forward-backward algorithm on computational graphs;TRANSPORT RES C-EMER;2020

2. Estimating multi-class dynamic origin-destination demand through a forward-backward algorithm on computational graphs;Transportation Research Part C: Emerging Technologies;2020-10

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