Study on Collision Avoidance Behavior in the Social Force-Based Pedestrian–Vehicle Interaction Simulation Model at Unsignalized Intersections
Modeling pedestrian–vehicle interaction behaviors not only helps better predict the intentions and actions of traffic participants but also contributes to generating more realistic pedestrian trajectories for testing autonomous vehicles. Most existing pedestrian–vehicle interaction models use repuls...
Saved in:
| Main Authors: | Xuwei Wang, Tingting Liu, Zhen Liu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-04-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/15/9/4885 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Multi-Fusion Early Warning Method for Vehicle–Pedestrian Collision Risk at Unsignalized Intersections
by: Weijing Zhu, et al.
Published: (2025-07-01) -
Advanced Decision Making and Motion Planning Framework for Autonomous Navigation in Unsignalized Intersections
by: Gunasekaran Raja, et al.
Published: (2024-01-01) -
Unsignalized intersection vehicle platoon formation scheduling method based on mixed traffic
by: Junfeng Jiang, et al.
Published: (2025-07-01) -
Toward edge-computing-enabled collision-free scheduling management for autonomous vehicles at unsignalized intersections
by: Ziyi Lu, et al.
Published: (2024-12-01) -
Analysing the effectiveness of unsignalized crossing infrastructure in improving pedestrian safety using multiple data-driven approaches
by: Shengqi Liu, et al.
Published: (2025-07-01)