A simulation study on effects of platooning gaps on drivers of conventional vehicles in highway merging situations
Platooning refers to a group of vehicles that—enabled by wireless vehicle-to-vehicle (V2V)
communication and vehicle automation—drives with short inter-vehicular distances. Before …
communication and vehicle automation—drives with short inter-vehicular distances. Before …
Optimizing Mixed Traffic Flow: Longitudinal Control of Connected and Automated Vehicles to Mitigate Traffic Oscillations
C Liu, F Zheng, HX Liu, X Liu - IEEE Transactions on Intelligent …, 2025 - ieeexplore.ieee.org
This paper presents a traffic oscillation mitigation-oriented optimal control framework for
connected and automated vehicles (CAVs) in a mixed traffic environment where the …
connected and automated vehicles (CAVs) in a mixed traffic environment where the …
A non-linear disturbance observer-based cooperative adaptive cruise control for real traffic scenarios
Cooperative adaptive cruise control (CACC) has a strong potential to improvise highway
traffic capacity and ease traffic disturbances. Extensive exploration is not carried out in the …
traffic capacity and ease traffic disturbances. Extensive exploration is not carried out in the …
An enhanced motion planning approach by integrating driving heterogeneity and long-term trajectory prediction for automated driving systems: A highway merging …
Navigating automated driving systems (ADSs) through complex driving environments is
difficult. Predicting the driving behavior of surrounding human-driven vehicles (HDVs) is a …
difficult. Predicting the driving behavior of surrounding human-driven vehicles (HDVs) is a …
Analysis of car cut-ins between trucks based on existing naturalistic driving data
For successful operation of cooperative adaptive cruise control, the participating vehicles
follow certain operational criteria. For truck platooning, the participating trucks are required …
follow certain operational criteria. For truck platooning, the participating trucks are required …