2023 article
A Limited, Real-World Assessment of Key Autonomous Vehicle Car Following Models
2023 IEEE 26TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS, ITSC, pp. 966–972.
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities
(Web of Science)
Source: Web Of Science
Added: June 17, 2024
This study aims at evaluating the performance of three commonly used car-following models in representing the longitudinal movement of autonomous vehicles (AVs) following traditional human-driven vehicles (TVs), based on both real-world data and simulation. Our ultimate goal is to assess the extent of discrepancies, if any, between the simulated and real-world AV response. We utilize real-world vehicle trajectory data collected from adaptive cruise control (ACC) equipped vehicles to compare the speed, acceleration profiles and vehicle position over time of modeled AVs and real-world observed AVs. Our observations suggest that the modeled AV longitudinal responses differ significantly from the real-world AVs. Overall, our study highlights the necessity of using the appropriate car-following models to ensure that all conclusions and decisions drawn about the operations and safety of AVs in platoons are well founded.