Improving Supply Chain Logistics with Agent-Based Spatiotemporal Mechanistic Enumeration and Probe Vehicle Data-Reference-Cited by-同舟云学术

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Improving Supply Chain Logistics with Agent-Based Spatiotemporal Mechanistic Enumeration and Probe Vehicle Data

Published:2023-09 Issue:9 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:

Pennetti Cody A.¹^ORCID

Affiliation:

1. Lecturer, Center for Risk Management of Engineering Systems, Dept. of Engineering Systems and Environment, Univ. of Virginia, Olsson Hall 112, 151 Engineer’s Way, P.O. Box 400736, Charlottesville, VA 22903. ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

Transportation,Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/JTEPBS.TEENG-7469

Reference51 articles.

1. AASHTO. 2011. A policy on geometric design of highways and streets. 6th ed. Washington, DC: AASHTO.

2. Cambridge Systematics, Inc. 2012. “Analytical procedures for determining the impacts of reliability mitigation strategies.” In Analytical procedures for determining the impacts of reliability mitigation strategies. Washington, DC: Transportation Research Board.

3. Data analytics approach for travel time reliability pattern analysis and prediction

4. Davidson, C. 2014. Insights into the scenario planning methodology. Wellington, NZ: New Zealand Ministry of Transport.

5. Federal Motor Carrier Safety Administration. 2022. Interstate truck driver’s guide to hours of service. Washington, DC: USDOT.

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