[HTML][HTML] About calibration of car-following dynamics of automated and human-driven vehicles: Methodology, guidelines and codes
A comprehensive literature review reveals that there exist lots of ambiguities, confusion and
even contradictions in setting a car-following calibration problem. In particular, confusion …
even contradictions in setting a car-following calibration problem. In particular, confusion …
Car-following models for human-driven vehicles and autonomous vehicles: A systematic review
The focus of car-following models is to analyze the microscopic characteristics of traffic
flows, with particular attention given to the interaction between adjacent vehicles. This paper …
flows, with particular attention given to the interaction between adjacent vehicles. This paper …
[HTML][HTML] Requiem on the positive effects of commercial adaptive cruise control on motorway traffic and recommendations for future automated driving systems
Connected and automated vehicles (CAVs) promise to significantly improve road traffic. To a
certain extent, this situation is similar to the expectations at the end of the last century about …
certain extent, this situation is similar to the expectations at the end of the last century about …
Understanding traffic bottlenecks of long freeway tunnels based on a novel location-dependent lighting-related car-following model
To understand the formation of lighting-related traffic bottlenecks along the long freeway
tunnels in the daytime, this study develops an intelligent driver model incorporating the …
tunnels in the daytime, this study develops an intelligent driver model incorporating the …
Car-following behavior characteristics of adaptive cruise control vehicles based on empirical experiments
Emerging automated vehicle (AV) technologies are increasingly being deployed around the
world and it is only a matter of time before the transportation landscape changes …
world and it is only a matter of time before the transportation landscape changes …
Autonomous vehicle's impact on traffic: Empirical evidence from waymo open dataset and implications from modelling
Previous empirical behavior analysis on Autonomous Vehicles (AV) mainly focused on
vehicles with Adaptive Cruise Control (ACC) system due to the lack of high-level AV dataset …
vehicles with Adaptive Cruise Control (ACC) system due to the lack of high-level AV dataset …
Hierarchical energy management strategy based on adaptive dynamic programming for hybrid electric vehicles in car-following scenarios
W Tang, Y Wang, X Jiao, L Ren - Energy, 2023 - Elsevier
In order to improve the driving safety and fuel economy of hybrid electric vehicles (HEVs) in
car-following scenarios, this paper proposes a hierarchical energy management strategy …
car-following scenarios, this paper proposes a hierarchical energy management strategy …
Video-based trajectory extraction with deep learning for High-Granularity Highway Simulation (HIGH-SIM)
High-granularity vehicle trajectory data can help researchers develop traffic simulation
models, understand traffic flow characteristics, and thus propose insightful strategies for road …
models, understand traffic flow characteristics, and thus propose insightful strategies for road …
Congestion-mitigating MPC design for adaptive cruise control based on Newell's car following model: History outperforms prediction
Currently, model predictive control (MPC) for adaptive cruise control (ACC) systems relies
on the prediction of the leader's motion to plan the follower's trajectory. However, such …
on the prediction of the leader's motion to plan the follower's trajectory. However, such …
Calibration of the intelligent driver model (IDM) with adaptive parameters for mixed autonomy traffic using experimental trajectory data
Autonomous vehicles (AVs) are expected and demonstrated to increase local traffic
throughput and improve traffic stability. However, their car-following behaviour is not fully …
throughput and improve traffic stability. However, their car-following behaviour is not fully …