A continuous model for designing corridor systems with modular autonomous vehicles enabling station-wise docking
The “asymmetry” between spatiotemporally varying passenger demand and fixed-capacity
transportation supply has been a long-standing problem in urban mass transportation (UMT) …
transportation supply has been a long-standing problem in urban mass transportation (UMT) …
Optimisation of a new hybrid transit service with modular autonomous vehicles
This study devises a novel hybrid public-transit service that uses modular autonomous
vehicles (MAVs) coupled in one fleet that travels a fixed base route. MAVs can decouple …
vehicles (MAVs) coupled in one fleet that travels a fixed base route. MAVs can decouple …
Fast trajectory planning in Cartesian rather than Frenet frame: A precise solution for autonomous driving in complex urban scenarios
On-road trajectory planning is a direct reflection of an autonomous vehicle's intelligence
level when traveling on an urban road. The prevalent on-road trajectory planners include the …
level when traveling on an urban road. The prevalent on-road trajectory planners include the …
Maneuver-based trajectory planning for highly autonomous vehicles on real road with traffic and driver interaction
This paper presents the design and first test on a simulator of a vehicle trajectory-planning
algorithm that adapts to traffic on a lane-structured infrastructure such as highways. The …
algorithm that adapts to traffic on a lane-structured infrastructure such as highways. The …
Freeway network design with exclusive lanes for automated vehicles under endogenous mobility demand
Automated vehicles (AV) have the potential to provide cost-effective mobility options along
with overall system-level benefits in terms of congestion and vehicular emissions. Additional …
with overall system-level benefits in terms of congestion and vehicular emissions. Additional …
Joint routing and pricing control in congested mixed autonomy networks
Routing controllability of connected and autonomous vehicles (CAVs) has been shown to
reduce the adverse effects of selfish routing on the network efficiency. However, the …
reduce the adverse effects of selfish routing on the network efficiency. However, the …
[HTML][HTML] Intersection control and delay optimization for autonomous vehicles flows only as well as mixed flows with ordinary vehicles
A Baz, P Yi, A Qurashi - Vehicles, 2020 - mdpi.com
The rapidly improving autonomous vehicle (AV) technology will have a significant impact on
traffic safety and efficiency. This study introduces a game-theory-based priority control …
traffic safety and efficiency. This study introduces a game-theory-based priority control …
[HTML][HTML] Binary integer modeling of the traffic flow optimization problem, in the case of an autonomous transportation system
Our research aimed to optimize the transportation processes through the binary integer
modeling of cooperative vehicle control by linking the dynamic traffic assignment approach …
modeling of cooperative vehicle control by linking the dynamic traffic assignment approach …
Optimal path planning for connected and automated vehicles in lane-free traffic
This paper develops a path planning algorithm for Connected and Automated Vehicles
(CAVs) driving on a lane-free highway, according to a recently proposed novel paradigm for …
(CAVs) driving on a lane-free highway, according to a recently proposed novel paradigm for …
Right-of-way reallocation for mixed flow of autonomous vehicles and human driven vehicles
Abstract Autonomous Vehicles (AVs) are bringing challenges and opportunities to urban
traffic systems. One of the crucial challenges for traffic managers and local authorities is to …
traffic systems. One of the crucial challenges for traffic managers and local authorities is to …