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Application of naturalistic driving data: A systematic review and bibliometric analysis
The application of naturalistic driving data (NDD) has the potential to answer critical
research questions in the area of driving behavior assessment, as well as the impact of …
research questions in the area of driving behavior assessment, as well as the impact of …
Characterizing the driving behavior of manual vehicles following autonomous vehicles and its impact on mixed traffic performance
An important issue for mixed traffic conditions, in which autonomous vehicles (AVs) and
manual vehicles (MVs) coexist, is to analyze various vehicle interactions caused by different …
manual vehicles (MVs) coexist, is to analyze various vehicle interactions caused by different …
Driving safety evaluation of mixed car-following situations by autonomous and manual vehicles at urban interrupted road facilities
In the early stages of the development of autonomous driving technology, autonomous
vehicles (AVs) and manually driven vehicles (MVs) will both be present on the roads, and …
vehicles (AVs) and manually driven vehicles (MVs) will both be present on the roads, and …
[HTML][HTML] Origin–destination matrix estimation for public transport: A multi-modal weighted graph approach
Estimating the large-scale Origin–Destination (OD) matrices for multi-modal public transport
(PT) in different cities can vary largely based on the network itself, what modes exist, and …
(PT) in different cities can vary largely based on the network itself, what modes exist, and …
Dilemma of responsibility-sensitive safety in longitudinal mixed autonomous vehicles flow: A Human-driver-error-tolerant driving strategy
The safety of autonomous vehicles (AVs) is a critical consideration for their widespread
adoption. Responsibility sensitive safety (RSS) is proposed to serve as a model checking …
adoption. Responsibility sensitive safety (RSS) is proposed to serve as a model checking …
Autonomous vehicle decision-making algorithms and data-driven mobilities in networked transport systems
E Taylor - Contemporary Readings in Law and Social Justice, 2021 - ceeol.com
This article presents an empirical study carried out to evaluate and analyze autonomous
vehicle decision-making algorithms and data-driven mobilities in networked transport …
vehicle decision-making algorithms and data-driven mobilities in networked transport …
Enhanced Car-Following Model Incorporating Multi-vehicles Information in Heterogeneous Traffic
B Li, D **e, Y Sun, J Ouyang - IEEE Access, 2024 - ieeexplore.ieee.org
This paper presents an enhanced full velocity difference (FVD) model for characterising the
car-following behaviour of autonomous vehicles (AVs). The model incorporates data from …
car-following behaviour of autonomous vehicles (AVs). The model incorporates data from …
Large-scale public transport origin-destination matrix estimation via weighted graph and traffic features integration
Estimation of the large-scale demand estimation for public transport in different cities can
vary depending on the public transport network, public transport modes, and traffic data. To …
vary depending on the public transport network, public transport modes, and traffic data. To …