How generative adversarial networks promote the development of intelligent transportation systems: A survey
In current years, the improvement of deep learning has brought about tremendous changes:
As a type of unsupervised deep learning algorithm, generative adversarial networks (GANs) …
As a type of unsupervised deep learning algorithm, generative adversarial networks (GANs) …
Energy efficiency of connected autonomous vehicles: A review
H Faghihian, A Sargolzaei - Electronics, 2023 - mdpi.com
Connected autonomous vehicles (CAVs) have emerged as a promising solution for
enhancing transportation efficiency. However, the increased adoption of CAVs is expected …
enhancing transportation efficiency. However, the increased adoption of CAVs is expected …
Cooperative incident management in mixed traffic of CAVs and human-driven vehicles
Traffic incident management in metropolitan areas is crucial for the recovery of road systems
from accidents as well as the mobility and safety of the community. With the continuous …
from accidents as well as the mobility and safety of the community. With the continuous …
Formation control of multi-agent systems with actuator saturation via neural-based sliding mode estimators
In this paper, the formation control problem for second-order multi-agent systems with model
uncertainties and actuator saturation is investigated. An estimator-based robust formation …
uncertainties and actuator saturation is investigated. An estimator-based robust formation …
[HTML][HTML] COOR-PLT: A hierarchical control model for coordinating adaptive platoons of connected and autonomous vehicles at signal-free intersections based on deep …
Platooning and coordination are two implementation strategies that are frequently proposed
for traffic control of connected and autonomous vehicles (CAVs) at signal-free intersections …
for traffic control of connected and autonomous vehicles (CAVs) at signal-free intersections …
Car-following models for human-driven vehicles and autonomous vehicles: A systematic review
The focus of car-following models is to analyze the microscopic characteristics of traffic
flows, with particular attention given to the interaction between adjacent vehicles. This paper …
flows, with particular attention given to the interaction between adjacent vehicles. This paper …
Deep demand prediction: An enhanced conformer model with cold-start adaptation for origin–destination ride-hailing demand prediction
In intelligent transportation systems, one key challenge for managing ride-hailing services is
the balancing of traffic supply and demand while meeting passenger needs within vehicle …
the balancing of traffic supply and demand while meeting passenger needs within vehicle …
Delay-throughput tradeoffs for signalized networks with finite queue capacity
Network-level adaptive signal control is an effective way to reduce delay and increase
network throughput. However, in the face of asymmetric exogenous demand, the increase of …
network throughput. However, in the face of asymmetric exogenous demand, the increase of …
Analysis of driving behavior in unprotected left turns for autonomous vehicles using ensemble deep clustering
The advent of autonomous driving technology offers transformative potential in mitigating
traffic congestion and enhancing road safety. A particularly challenging aspect of traffic …
traffic congestion and enhancing road safety. A particularly challenging aspect of traffic …
[HTML][HTML] Policy challenges for coordinated delivery of trucks and drones
The application of drone technology promises to revolutionize the transportation industry.
Particularly, the combination of drones with ground vehicles has tremendous advantages for …
Particularly, the combination of drones with ground vehicles has tremendous advantages for …