Open-sourced data ecosystem in autonomous driving: the present and future
With the continuous maturation and application of autonomous driving technology, a
systematic examination of open-source autonomous driving datasets becomes instrumental …
systematic examination of open-source autonomous driving datasets becomes instrumental …
A hybrid deep learning model for urban expressway lane-level mixed traffic flow prediction
Precise real-time traffic flow prediction is crucial for route guidance and traffic fine control.
With the development of autonomous driving, the mixed traffic flow state composed of …
With the development of autonomous driving, the mixed traffic flow state composed of …
[HTML][HTML] Spatiotemporal-restricted A* algorithm as a support for lane-free traffic at intersections with mixed flows
Improving the capacity of intersections is the key to enhancing road traffic systems.
Benefiting from the application of Connected Automated Vehicles (CAVs) in the foreseeing …
Benefiting from the application of Connected Automated Vehicles (CAVs) in the foreseeing …
Trajectory guidance for connected human-driving vehicles through the interactions between drivers and roadside units
P Cai, G Lu - Journal of transportation engineering, Part A: Systems, 2023 - ascelibrary.org
Utilizing massive real-time traffic information in the vehicle-to-everything (V2X) environment,
road traffic systems can be enhanced by optimizing vehicle trajectory patterns. Because …
road traffic systems can be enhanced by optimizing vehicle trajectory patterns. Because …