Predicting the Vehicle Turn-in Rates of Highway Service Area: A Random Forest Approach-Reference-Cited by-同舟云学术

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Predicting the Vehicle Turn-in Rates of Highway Service Area: A Random Forest Approach

Published:2023-09-24 Issue: Volume:45 Page:1349-1354
ISSN:
Container-title:2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)
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Author:

Zheng Yubin¹,Cheng Cheng¹,Yu Shui²,Ye Xian³,Li Xinghua¹,Wang Zixuan⁴

Affiliation:

1. Tongji University,Key Laboratory of Road & Traffic Engineering of Ministry of Education,Shanghai,China,201804

2. Hebei Province Expressway Jingxiong Management Center,Hebei Province,China,071799

3. Jiaoke Transport Consultants LTD,Beijing,China,100083

4. Think Engine Management Consulting (Shanghai) Co., Ltd,Shanghai,China,200092

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10420842/10420843/10422358.pdf?arnumber=10422358

Reference22 articles.

1. Safety-oriented planning of expressway truck service areas based on driver demand

2. A decision support system for determining the optimal size of a new expressway service area: Focused on the profitability

3. Empirical Models of Demand Levels and Turn-In Rates at Roadside Rest Areas

4. Practical Guidelines for Estimation of Rest Area Use on Rural Interstates and Arterial Highways

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