Dilu: A knowledge-driven approach to autonomous driving with large language models
Recent advancements in autonomous driving have relied on data-driven approaches, which
are widely adopted but face challenges including dataset bias, overfitting, and …
are widely adopted but face challenges including dataset bias, overfitting, and …
LimSim: A long-term interactive multi-scenario traffic simulator
With the growing popularity of digital twin and autonomous driving in transportation, the
demand for simulation systems capable of generating high-fidelity and reliable scenarios is …
demand for simulation systems capable of generating high-fidelity and reliable scenarios is …
TrafficMCTS: A closed-loop traffic flow generation framework with group-based monte carlo tree search
Digital twins for intelligent transportation systems are currently attracting great interests, in
which generating realistic, diverse, and human-like traffic flow in simulations is a formidable …
which generating realistic, diverse, and human-like traffic flow in simulations is a formidable …
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 …