The algorithmic governance of autonomous driving behaviors: Multi-sensor data fusion, spatial computing technologies, and movement tracking tools
This paper provides a systematic literature review of studies investigating autonomous
driving technologies, lane detection algorithms, and adaptive and dynamic route planning …
driving technologies, lane detection algorithms, and adaptive and dynamic route planning …
Integrated deployment of dedicated lane and roadside unit considering uncertain road capacity under the mixed-autonomy traffic environment
The rapid development of automated vehicle (AV) technologies enables us to explore how
to update the urban road infrastructure to cater for the upcoming mixed-autonomy traffic with …
to update the urban road infrastructure to cater for the upcoming mixed-autonomy traffic with …
Electric Vehicle Charging Planning: A Complex Systems Perspective
In this paper, we introduce an innovative framework for the strategic planning of electric
vehicle (EV) charging infrastructure within interconnected energy-transportation networks …
vehicle (EV) charging infrastructure within interconnected energy-transportation networks …
Modified bureau of public roads link function
The Bureau of Public Roads (BPR) function is a widely used link cost function in
transportation planning because of its simple mathematical form, easily measurable field …
transportation planning because of its simple mathematical form, easily measurable field …
Modeling link capacity constraints with physical queuing and toll in the bi-modal mixed road network including bus and car modes
J Yao, Y Chen, A Chen, Z Liu - Transportation research part E: logistics and …, 2024 - Elsevier
In urban transportation network, the formation of traffic congestion is often caused by link
capacity constraints, which is often accompanied by physical queuing phenomena. This …
capacity constraints, which is often accompanied by physical queuing phenomena. This …
Efficiency and fuel consumption of mixed traffic flow with lane management of CAVs
The mixed traffic flow of connected and automated vehicles (CAVs) and human-driven
vehicles (HDVs) will exist on highways for a long time, as the deployment of CAVs is …
vehicles (HDVs) will exist on highways for a long time, as the deployment of CAVs is …
Evaluation of macroscopic fundamental diagram characteristics for a quantified penetration rate of autonomous vehicles
MT Bilal, D Giglio - European Transport Research Review, 2023 - Springer
Background The availability of private vehicles with autonomous features is widespread
nowadays. Various car manufacturers are providing attributes like collision warning, city …
nowadays. Various car manufacturers are providing attributes like collision warning, city …
Data-driven traffic assignment through density-based road-specific congestion function estimation
The ability to build accurate traffic assignment models on large-scale major road networks is
essential for effective infrastructure planning. Static traffic assignment models often utilize …
essential for effective infrastructure planning. Static traffic assignment models often utilize …
Bridging multi-level vehicle behavioural patterns with long-term pavement condition: a bidirectional modelling approach for progressively mixed autonomous traffic …
The increasing of AVs' market penetration rate (MPR) changes the traffic behavioural pattern
and ultimately influences pavement. Pavement condition, in turn, influences microscopic …
and ultimately influences pavement. Pavement condition, in turn, influences microscopic …
Modeling Suburban Freeway Travel Variability considering Connected and Autonomous Vehicles
N Amoei Khorshidi, S Afandizadeh Zargari… - International Journal of …, 2024 - Springer
This study examines how coexistence of Connected Autonomous Vehicles (CAVs) and
Human-Driven Vehicles (HDVs) can affect travel time in the Tehran-Karaj suburban freeway …
Human-Driven Vehicles (HDVs) can affect travel time in the Tehran-Karaj suburban freeway …