A machine learning and simulation-based dynamic parking choice model for airports-Reference-Cited by-同舟云学术

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A machine learning and simulation-based dynamic parking choice model for airports

Published:2023-08 Issue: Volume:111 Page:102425
ISSN:0969-6997
Container-title:Journal of Air Transport Management
language:en
Short-container-title:Journal of Air Transport Management

Author:

Jha Manoj K.^ORCID,Schonfeld Paul,McCullough Frederick^ORCID

Publisher

Elsevier BV

Subject

Law,Management, Monitoring, Policy and Law,Strategy and Management,Transportation

Reference32 articles.

1. Advanced Ground Vehicle Technologies For Airside Operations, Airport Cooperative Research Program,2020

2. How Airports Can Act as Testbeds for Autonomous Vehicles,2018

3. Effectiveness of the parking guidance information system in Frankfurt am Main;Axhausen;Traffic Eng. Control,1994

4. A GNSS integrity augmentation system for ground vehicle operations;Bijjahalli;Energy Proc.,2017

5. Machine learning-based traffic prediction models for intelligent transportation systems;Boukerche;Comput. Network.,2020

Cited by 1 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 the Lag Time Between Flight Arrivals and Parking Exit Volumes at a Major Airport: A Practical Approach;IEEE Access;2024

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