Name
Abstract | ||
|---|---|---|
Pedestrian safety is of paramount importance for intelligent transportation systems. This study focuses on the scenarios where pedestrians appear as crowds and interact with moving vehicles in a relatively-free space. Based on social force model (SFM), a vehicle-crowd interaction (VCI) model is pro- posed to describe both the behavior of crowd pedestrians and vehicle. Specifically, a heuristic-based and effective modeling of vehicle influence on pedestrians is designed and incorporated into the crowd-only SFM. Qualitative analysis of systematic simulations of various VCI scenarios demonstrates the effective- ness of the proposed model. This model can effectively describe the VCI scenarios such as vehicle approaching from different directions, vehicle zigzagging, and vehicle sharply turning. |
Year | Venue | Field |
|---|---|---|
2018 | Intelligent Vehicles Symposium | Crowds,Pedestrian,Kinematics,Social force model,Simulation,Computer science,Intelligent transportation system |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dongfang Yang | 1 | 11 | 4.43 |
| Ümit Özgüner | 2 | 1014 | 166.59 |
| Keith Redmill | 3 | 101 | 13.99 |