Prescriptive Analytics for Intelligent Transportation Systems with Uncertain Demand-Reference-Cited by-同舟云学术

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Prescriptive Analytics for Intelligent Transportation Systems with Uncertain Demand

Published:2023-12 Issue:12 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:

Wang Huiwen¹,Yi Wen²,Tian Xuecheng³^ORCID,Zhen Lu⁴

Affiliation:

1. Ph.D. Candidate, Dept. of Building and Real Estate, Hong Kong Polytechnic Univ., Hung Hom, Hong Kong SAR 999077, China.

2. Assistant Professor, Dept. of Building and Real Estate, Hong Kong Polytechnic Univ., Hung Hom, Hong Kong SAR 999077, China (corresponding author).

3. Ph.D. Candidate, Dept. of Logistics and Maritime Studies, Hong Kong Polytechnic Univ., Hung Hom, Hong Kong SAR 999077, China. ORCID: .

4. Professor, School of Management, Shanghai Univ., No. 99 Shang Da Rd., Baoshan District, Shanghai 200444, China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Transportation,Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/JTEPBS.TEENG-8068

Reference59 articles.

1. Multi-stage network-based two-type cost minimization for the reverse logistics management of inert construction waste;Ahmed R. R.;Waste Manage.,2021

2. Tighter MIP models for barge container ship routing;Alfandari L.;Omega,2019

3. Investigating the effects of gradual deployment of market penetration rates (MPR) of connected vehicles on delay time and fuel consumption;Ansariyar A.;J. Intell. Connected Veh.,2022

4. Data-driven financial and operational risk management: Empirical evidence from the global tramp shipping industry;Bai X.;Transp. Res. Part E Logist. Transp. Rev.,2022

5. Combinatorial optimization of construction waste collection and transportation: A case study of Hong Kong;Bi W.;Resour. Conserv. Recycl.,2022

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