Application of machine learning algorithms in lane-changing model for intelligent vehicles exiting to off-ramp-Reference-Cited by-同舟云学术

Application of machine learning algorithms in lane-changing model for intelligent vehicles exiting to off-ramp

Published:2020-04-03 Issue:1 Volume:17 Page:124-150
ISSN:2324-9935
Container-title:Transportmetrica A: Transport Science
language:en
Short-container-title:Transportmetrica A: Transport Science

Author:

Dong Changyin¹,Wang Hao¹,Li Ye²,Shi Xiaomeng¹^ORCID,Ni Daiheng³,Wang Wei¹

Affiliation:

1. School of Transportation, Jiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Southeast University, Nanjing, People’s Republic of China

2. School of Traffic and Transportation Engineering, Central South University, Changsha, People’s Republic of China

3. University of Massachusetts, Amherst, MA, USA

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

General Engineering,Transportation

Link

https://www.tandfonline.com/doi/pdf/10.1080/23249935.2020.1746861

Reference52 articles.

1. Analysis of the Effects of Connected–Automated Vehicle Technologies on Travel Demand

2. Agent-Based Demand-Modeling Framework for Large-Scale Microsimulations

3. Simulation of Driver Behavior with Agent-Based Back-Propagation Neural Network

4. A Review of Communication, Driver Characteristics, and Controls Aspects of Cooperative Adaptive Cruise Control (CACC)

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