Autonomous Driving Simulation for Hybrid Traffic

In hybrid traffic where autonomous vehicles share roads with human-driven vehicles, mismatch between estimated and actual behaviors of human-driven vehicles leads to inefficient control, and results collisions in the worst case. The paper aims to propose a method to reduce the risks generated by hum...

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Bibliographic Details
Main Authors: Wen, Zhong, Yang, Biao, Zhang, Haoxing
Format: Conference Proceeding
Language:English
Subjects:
augmented reality
autonomous vehicles
Behavioral sciences
intelligent transportation
internet of vehicles
Predictive models
Roads
Safety
Trajectory
Transportation
vehicles-to-everything
Vehicular ad hoc networks
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Summary:In hybrid traffic where autonomous vehicles share roads with human-driven vehicles, mismatch between estimated and actual behaviors of human-driven vehicles leads to inefficient control, and results collisions in the worst case. The paper aims to propose a method to reduce the risks generated by human- driven vehicles. We uses the widespread internet of things and the number of the connected devices in intelligent transportation for safety, energy saving and comfort. We also address the emerging technologies in intelligent transportation environments. A simulation platform for hybrid traffic is proposed and designed to simulate various scenarios that are difficult to study in the real world. Simulation results demonstrate that our method can improve driving efficiency.
ISSN:2474-154X
DOI:10.1109/ITNAC55475.2022.9998420