Driving angle prediction of lane changes based on extremely randomized decision trees considering the harmonic potential field method-Reference-Cited by-同舟云学术

Driving angle prediction of lane changes based on extremely randomized decision trees considering the harmonic potential field method

Published:2021-07-30 Issue: Volume: Page:1-25
ISSN:2324-9935
Container-title:Transportmetrica A: Transport Science
language:en
Short-container-title:Transportmetrica A: Transport Science

Author:

Wang Zhe¹,Huang Helai¹^ORCID,Tang Jinjun¹^ORCID,Lee Jaeyoung¹^ORCID,Meng Xianwei¹

Affiliation:

1. Smart Transport Key Laboratory of Hunan Province, School of Traffic and Transportation Engineering, Central South University, Changsha, People’s Republic of China

Funder

National Key R&D Program of China

Publisher

Informa UK Limited

Subject

General Engineering,Transportation

Link

https://www.tandfonline.com/doi/pdf/10.1080/23249935.2021.1956013

Reference68 articles.

1. Ahn, Soyoung, and Michael J. Cassidy. 2007. “Freeway Traffic Oscillations and Vehicle Lane-Change Maneuvers.” Paper presented in Transportation and Traffic Theory 2007, London, July 691-710.

2. Daily, Robert, and David M. Bevly. 2008. “Harmonic Potential Field Path Planning for High Speed Vehicles.” Paper presented in 2008 American Control Conference, Seattle, June 4609-4614.

3. Prediction Performance of Lane Changing Behaviors: A Study of Combining Environmental and Eye-Tracking Data in a Driving Simulator

4. A Neural Network Model for Driver’s Lane-Changing Trajectory Prediction in Urban Traffic Flow

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