While automated vehicles (AVs) are expected to revolutionize future transportation systems,
emerging AV technologies also open the door for malicious actors to compromise intelligent …

ABSTRACT This paper proposes Enhanced Intelligent Driver Model for Adaptive Cruise
Control (EIDM-ACC) vehicles, a novel car-following model that dynamically adjusts desired …

A brand-new traffic model is introduced to precisely simulate the individual movement of
vehicles, departing from the traditional macroscopic perspective (Eulerian scope or fluid …

In response to the fact that autonomous vehicles cannot avoid obstacles by emergency
braking alone, this paper proposes an active collision avoidance method for autonomous …

While complete vehicle automation still requires further research and development to fully
realize benefits like reduced travel times, enhanced traffic stability, and lower congestion …

This study demonstrates that the Grünwald–Letnikov fractional proportional–integral–
derivative (GPID) controller outperforms traditional PID controllers in adaptive cruise control …

With the development of intelligent connected vehicle technology, human-machine shared
control has gained popularity in vehicle following due to its effectiveness in driver …

We develop an input delay-compensating feedback law for linear switched systems with
time-dependent switching. Because the future values of the switching signal, which are …

Stop-and-go traffic waves are known for reducing the efficiency of transportation systems by
increasing traffic oscillations and energy consumption. In this study, we develop an …

Traffic engineering is a field characterized by heterogeneity, reflecting the diverse behaviors
of individual agents using the infrastructure. While traffic heterogeneity has been discussed …