Analysis of the impact of maximum platoon size of CAVs on mixed traffic flow: An analytical and simulation method
This paper analyzes the characteristics of mixed traffic flow with maximum platoon size of
connected automated vehicles (CAVs) based on analytical and simulation methods. First …
connected automated vehicles (CAVs) based on analytical and simulation methods. First …
Lampilot: An open benchmark dataset for autonomous driving with language model programs
Autonomous driving (AD) has made significant strides in recent years. However existing
frameworks struggle to interpret and execute spontaneous user instructions such as" …
frameworks struggle to interpret and execute spontaneous user instructions such as" …
Anticipated Collision Time (ACT): A two-dimensional surrogate safety indicator for trajectory-based proactive safety assessment
SP Venthuruthiyil, M Chunchu - Transportation research part C: emerging …, 2022 - Elsevier
Abstract Surrogate Safety Measures (SSMs) are widely used to assess potential crash risk
proactively. Notably, most of the existing safety indicators are fundamentally designed to …
proactively. Notably, most of the existing safety indicators are fundamentally designed to …
Multivariate Bayesian hierarchical Gaussian copula modeling of the non-stationary traffic conflict extremes for crash estimation
C Fu, T Sayed - Analytic methods in accident research, 2021 - Elsevier
Recent studies have demonstrated that single conflict indicators represent only a fractional
aspect of the severity of a traffic interaction. As such, integrating several conflict indicators in …
aspect of the severity of a traffic interaction. As such, integrating several conflict indicators in …
[HTML][HTML] From lane-less to lane-free: Implications in the era of automated vehicles
Advances in autonomous vehicle (AV) technology and research into connected autonomous
vehicle (CAV) technology have renewed interest in lane-free traffic. The present study …
vehicle (CAV) technology have renewed interest in lane-free traffic. The present study …
Analysis of visual risk perception model for braking control behaviour of human drivers: A literature review
In the interest of driving safety, it is essential to understand driver risk assessment to develop
human‐centred automated driving systems. Visual perception plays a core role in observing …
human‐centred automated driving systems. Visual perception plays a core role in observing …
A human-centered comprehensive measure of take-over performance based on multiple objective metrics
For highly automated vehicles, effective take-over performance measures are essential for
establishing quantitative take-over models and exploring approaches to improve take-over …
establishing quantitative take-over models and exploring approaches to improve take-over …
[HTML][HTML] Traffic oscillation mitigation with physics-enhanced residual learning (PERL)-based predictive control
Real-time vehicle prediction is crucial in autonomous driving technology, as it allows
adjustments to be made in advance to the driver or the vehicle, enabling them to take …
adjustments to be made in advance to the driver or the vehicle, enabling them to take …
Pedestrians' safety using projected time-to-collision to electric scooters
Safety concern among electric scooter riders drives them onto sidewalks, endangering
pedestrians and making them uncomfortable. Regulators' solutions are inconsistent and …
pedestrians and making them uncomfortable. Regulators' solutions are inconsistent and …
Crash risks evaluation of urban expressways: A case study in Shanghai
Proactive traffic safety management systems can reduce crashes by identifying crash
precursors, evaluating real-time crash risks, and implementing suitable interventions. The …
precursors, evaluating real-time crash risks, and implementing suitable interventions. The …