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Machine Learning-Based Eco-Approach and Departure: Real-Time Trajectory Optimization at Connected Signalized Intersections
- Danial Esaid - University of California, Center for Environmental Research & Technology, USA ,
- Peng Hao - University of California, Center for Environmental Research & Technology, USA ,
- Guoyuan Wu - University of California, Center for Environmental Research & Technology, USA ,
- Fei Ye - University of California, Center for Environmental Research & Technology, USA ,
- Zhensong Wei - University of California, Center for Environmental Research & Technology, USA ,
- Kanok Boriboonsomsin - University of California, Center for Environmental Research & Technology, USA ,
- Matthew Barth - University of California, Center for Environmental Research & Technology, USA
Journal Article
13-03-01-0004
ISSN: 2640-642X, e-ISSN: 2640-6438
Sector:
Topic:
Citation:
Esaid, D., Hao, P., Wu, G., Ye, F. et al., "Machine Learning-Based Eco-Approach and Departure: Real-Time Trajectory Optimization at Connected Signalized Intersections," SAE J. STEEP 3(1):41-53, 2022, https://doi.org/10.4271/13-03-01-0004.
Language:
English
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