1612 N. Bellomo et al. the modeling of traffic and crowds: A survey of models, speculations,
and perspectives, SIAM Rev. 53 (2011) 409–463], thus providing important research …

Researches on machine vision-based driver fatigue detection algorithm have improved
traffic safety significantly. Generally, many algorithms do not analyze driving state from driver …

Using simulation models to conduct safety assessments can have several advantages as it
enables the evaluation of the safety of various design and traffic management options before …

In this article, path planning for intelligent vehicle collision avoidance of dynamic pedestrian
using attention mechanism-long short-term memory network (Att-LSTM), modified social …

Recently, Vulnerable Traffic Participants (VTPs) trajectory prediction has got some attention,
which can help autonomous vehicles better understand complex traffic environments. This …

There is a need for a better understanding of the collision avoidance behavior of road users
in near misses. Recently, several models of road user behavior in near misses have been …

In this paper, Vulnerable Road User (VRU) trajectory prediction for autonomous driving
based on the Intention-Attention-Gate Recurrent Unit (IA-GRU), Improved Social Force …

The importance of guides has been paid more attentions by managers of large buildings
during the establishment of evacuation plans. Considering the inaccuracy of perceptual …

Investigating pedestrian crossing and driver yielding decisions should be an important focus
considering the high risks of pedestrians in exposed to motorized traffic. Limitations …

Pedestrian trajectory prediction is imperative in specific fields, such as crowd management
and collision prevention in automated driving environments. In this study, a novel long-short …