Determining optimal sensor locations under uncertainty for a truck activity monitoring system on California freeways-Reference-Cited by-同舟云学术

Determining optimal sensor locations under uncertainty for a truck activity monitoring system on California freeways

Published:2019-04-02 Issue:3 Volume:25 Page:221-234
ISSN:1547-2450
Container-title:Journal of Intelligent Transportation Systems
language:en
Short-container-title:Journal of Intelligent Transportation Systems

Author:

Jung Jaeyoung¹^ORCID,Tok Andre²,Ritchie Stephen G.³

Affiliation:

1. Ford Motor Company, Dearborn, MI, USA

2. Institute of Transportation Studies, University of California, Irvine, CA, USA

3. Institute of Transportation Studies and Department of Civil and Environmental Engineering, University of California, Irvine, CA, USA

Funder

California Air Resources Board

Publisher

Informa UK Limited

Subject

Applied Mathematics,Computer Science Applications,Aerospace Engineering,Automotive Engineering,Information Systems,Software,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/15472450.2019.1579094

Reference25 articles.

1. On the use of genetic algorithms to solve location problems

2. California Air Resource Board (CARB). (2017). On-road heavy-duty vehicle program. Retrieved from https://www.arb.ca.gov/msprog/onroadhd/onroadhd.htm

3. California Department of Transportation. (2010). Freight fact check. Retrieved from http://www.dot.ca.gov/hq/tpp/offices/ogm/fact_sheets/Fast_Freight_Facts_Trucks_bk_040612.pdf

4. Bayesian Models for Reidentification of Trucks Over Long Distances on the Basis of Axle Measurement Data

Cited by 6 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. A multi-objective optimization model of truck scheduling problem using cross-dock in supply chain management: NSGA-II and NRGA;Journal of Modelling in Management;2024-02-05

2. Research on an Adaptive Method for the Angle Calibration of Roadside LiDAR Point Clouds;Sensors;2023-08-30

3. Multi-objective Optimization Model of Truck Scheduling Problem using Cross-Dock in Supply Chain Management: NSGA-II & NRGA;2023-07-11

4. Location Optimization Model of a Greenhouse Sensor Based on Multisource Data Fusion;Complexity;2022-04-28

5. Freight truck emissions reductions with connected vehicle technology: A case study with I-710 in California;Case Studies on Transport Policy;2020-09