Autonomous Vehicle–Pedestrian Interaction Modeling Platform: A Case Study in Four Major Cities-Reference-Cited by-同舟云学术

Autonomous Vehicle–Pedestrian Interaction Modeling Platform: A Case Study in Four Major Cities

Published:2024-09 Issue:9 Volume:150 Page:
ISSN:2473-2907
Container-title:Journal of Transportation Engineering, Part A: Systems
language:en
Short-container-title:J. Transp. Eng., Part A: Systems

Author:

Shoman Maged¹^ORCID,Lanzaro Gabriel²,Sayed Tarek³,Gargoum Suliman⁴

Affiliation:

1. Postdoctoral Research Associate, Dept. of Civil Engineering, Univ. of British Columbia, Vancouver, BC, Canada V6T 1Z4 (corresponding author). ORCID: .

2. Ph.D. Candidate, Dept. of Civil Engineering, Univ. of British Columbia, Vancouver, BC, Canada V6T 1Z4.

3. Professor, Dept. of Civil Engineering, Univ. of British Columbia, Vancouver, BC, Canada V6T 1Z4.

4. Assistant Professor, Dept. of Civil Engineering, Univ. of British Columbia, Vancouver, BC, Canada V6T 1Z4.

Publisher

American Society of Civil Engineers (ASCE)

Link

https://ascelibrary.org/doi/pdf/10.1061/JTEPBS.TEENG-8097

Reference65 articles.

1. Evaluating the safety of autonomous vehicle–pedestrian interactions: An extreme value theory approach;Alozi A. R.;Anal. Methods Accid. Res.,2022

2. Active road user interactions with autonomous vehicles: Proactive safety assessment;Alozi A. R.;Transp. Res. Rec.,2023

3. Modeling pedestrian-cyclist interactions in shared space using inverse reinforcement learning

4. Markov-game modeling of cyclist-pedestrian interactions in shared spaces: A multi-agent adversarial inverse reinforcement learning approach

5. Microscopic modeling of cyclists interactions with pedestrians in shared spaces: A Gaussian process inverse reinforcement learning approach;Alsaleh R.;Transportmetrica A: Transp. Sci.,2022