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Integrated optimization of traffic signal timings and vehicle trajectories considering mandatory lane-changing at isolated intersections
Intersections are the predominant bottlenecks in urban areas due to the intricate conflicts
among vehicles with different movements. With the advent of connected and automated …
among vehicles with different movements. With the advent of connected and automated …
Strategic and tactical decision-making for cooperative vehicle platooning with organized behavior on multi-lane highways
Driving automation and vehicle-to-vehicle (V2V) communication provide opportunities to
deploy cooperative automated driving systems (C-ADS) for transportation system goals such …
deploy cooperative automated driving systems (C-ADS) for transportation system goals such …
Traffic microsimulation for road safety assessments of vehicle automation scenarios: Model comparison and sensitivity analysis
The possible implementation of Automated Vehicles (AVs) in the traffic flow implies that
future safety conditions should be assessed by considering promiscuous traffic scenarios …
future safety conditions should be assessed by considering promiscuous traffic scenarios …
Predictive information multiagent deep reinforcement learning for automated truck platooning control
Human-leading automated truck platooning has been an effective technique to improve
traffic capacity and fuel economy and eliminate uncertainties of the traffic environment …
traffic capacity and fuel economy and eliminate uncertainties of the traffic environment …
Traffic signal control under mixed traffic with connected and automated vehicles: a transfer-based deep reinforcement learning approach
Backgrounds: The traffic signal control (TSC) system could be more intelligently controlled
by deep reinforcement learning (DRL) and information provided by connected and …
by deep reinforcement learning (DRL) and information provided by connected and …
[HTML][HTML] A review of multi-vehicle cooperative control system in intelligent transportation
Multi-vehicle cooperative control (MVCC) system has the potential to improve traffic flow,
reduce congestion, and increase safety. This paper reviews the progress achieved by …
reduce congestion, and increase safety. This paper reviews the progress achieved by …
Exploring the effects of connected and automated vehicles at fixed and actuated signalized intersections with different market penetration rates
To investigate the effects of different market penetration rates (MPRs) of intelligent vehicles–
Intelligent Driving Model (IDM) for autonomous vehicles (AVs), Adaptive Cruise Control …
Intelligent Driving Model (IDM) for autonomous vehicles (AVs), Adaptive Cruise Control …
Car-following properties of a commercial adaptive cruise control system: a pilot field test
Automated driving systems, which can take over certain dynamic driving tasks from the
driver, are becoming increasingly available in commercial vehicles. One of these automated …
driver, are becoming increasingly available in commercial vehicles. One of these automated …
EGO-centric, multi-scale co-simulation to tackle large urban traffic scenarios
Simulating automotive functions that rely on interaction with other vehicles (eg, perception-
based control or algorithms relying on inter-vehicular communication) created a demand for …
based control or algorithms relying on inter-vehicular communication) created a demand for …
Joint deployment of infrastructure-assisted traffic management and cooperative driving around work zones
Highway work zones can induce significant delays and undermine traffic safety. The recent
advent of connected and automated vehicles (CAVs) can pose an additional threat to traffic …
advent of connected and automated vehicles (CAVs) can pose an additional threat to traffic …