Cyber-attacks in the next-generation cars, mitigation techniques, anticipated readiness and future directions
Abstract Modern-day Connected and Autonomous Vehicles (CAVs) with more than 100
million code lines, running up-to a hundred Electronic Control Units (ECUs) will create and …
million code lines, running up-to a hundred Electronic Control Units (ECUs) will create and …
[HTML][HTML] Automated vehicle-involved traffic flow studies: A survey of assumptions, models, speculations, and perspectives
Automated vehicles (AVs) are widely considered to play a crucial role in future transportation
systems because of their speculated capabilities in improving road safety, saving energy …
systems because of their speculated capabilities in improving road safety, saving energy …
Assessing traffic disturbance, efficiency, and safety of the mixed traffic flow of connected vehicles and traditional vehicles by considering human factors
In the foreseeable future, connected vehicles (CVs) will coexist with traditional vehicles
(TVs) resulting in a complex mixed traffic environment and the success of CVs will depend …
(TVs) resulting in a complex mixed traffic environment and the success of CVs will depend …
A conceptual system dynamics model for cybersecurity assessment of connected and autonomous vehicles
Abstract Emerging Connected and Autonomous Vehicles (CAVs) technology have a
ubiquitous communication framework. It poses security challenges in the form of cyber …
ubiquitous communication framework. It poses security challenges in the form of cyber …
A hybrid modelling framework of machine learning and extreme value theory for crash risk estimation using traffic conflicts
Extreme value theory is the state-of-the-art modelling technique for estimating crash risk
from traffic conflicts, with two different sampling techniques, ie block maxima and peak-over …
from traffic conflicts, with two different sampling techniques, ie block maxima and peak-over …
[HTML][HTML] Modelling perceived risk and trust in driving automation reacting to merging and braking vehicles
Perceived risk and trust are crucial for user acceptance of driving automation. In this study,
we identify important predictors of perceived risk and trust in a driving simulator experiment …
we identify important predictors of perceived risk and trust in a driving simulator experiment …
An Extreme Value Theory approach to estimate crash risk during mandatory lane-changing in a connected environment
Examining crash risk in the highly anticipated connected environment is hindered by its
novelty and the consequent scarcity of relevant data. This study proposes an Extreme Value …
novelty and the consequent scarcity of relevant data. This study proposes an Extreme Value …
Analysis of safety benefits and security concerns from the use of autonomous vehicles: A grouped random parameters bivariate probit approach with heterogeneity in …
This paper investigates public perceptions towards potential safety benefits, and safety-and
security-related concerns from the future use of autonomous vehicles by utilizing data …
security-related concerns from the future use of autonomous vehicles by utilizing data …
Connected and automated vehicles: Opportunities and challenges for transportation systems, smart cities, and societies
Abstract Connected and Automated Vehicles (CAVs) technology offers a potential solution to
massive road transport issues in the areas of safety, mobility, and the environment. For road …
massive road transport issues in the areas of safety, mobility, and the environment. For road …
A hybrid approach of random forest and random parameters logit model of injury severity modeling of vulnerable road users involved crashes
Z Sun, D Wang, X Gu, M Abdel-Aty, Y Xing… - Accident Analysis & …, 2023 - Elsevier
Vulnerable road users (VRUs) involved crashes are a major road safety concern due to the
high likelihood of fatal and severe injury. The use of data-driven methods and heterogeneity …
high likelihood of fatal and severe injury. The use of data-driven methods and heterogeneity …