Cooperative Adaptive Cruise Control Small Scale Test- Phase 1: Final Report

Meier, J.; Abuchaar, O.; Abubakr, M.; Adla, R.; Ali, M.; Bitar, George; Ibrahim, U.; Kailas, A.; Kelkar, P; Kumar, V.; Moradi-Pari, Ehsan; Parikh, J.; Rajab, S.; Sakakida, M.; Yamamoto, M.; Deering, R. · 2017 · ROSA P / United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office

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Summary

This report documents Phase 1 of the Cooperative Adaptive Cruise Control Small-Scale Test Project, sponsored by the Federal Highway Administration and conducted by the Crash Avoidance Metrics Partners LLC. The research addresses the potential of Cooperative Adaptive Cruise Control (CACC) to enhance traffic throughput, fuel efficiency, and safety by leveraging Dedicated Short Range Communications (DSRC) to extend conventional Adaptive Cruise Control (ACC). The primary motivation was to determine if DSRC-enabled CACC could improve situational awareness, reduce system latency, and optimize time gaps between vehicles in a string. The methodology involved two parallel tracks: physical vehicle testing and simulation. Four prototype vehicles of varying makes, models, and dynamic characteristics were equipped with production ACC systems and a third-party controller to establish baseline performance. Structured tests in controlled environments characterized response lag, DSRC performance, lane-change detection, and the impact of road grade. These empirical results parameterized a simulation environment designed to model vehicle strings under automated longitudinal control. Within this simulation, CACC algorithms were developed and evaluated using Basic Safety Messages (BSMs) with small message extensions. The study also included a preliminary hazard analysis and the establishment of a safety concept for DSRC-enabled CACC. Key findings indicate that exchanging data via DSRC significantly improves string stability compared to conventional ACC. Acceleration forecasts derived from communicated data played a critical role in enhancing CACC performance, allowing for smoother responses to perturbations. The simulations demonstrated that reduced time gaps within a string of equipped vehicles are feasible, which could increase traffic throughput. However, the report notes that achieving these reduced gaps requires strict adherence to additional functional safety requirements. The hazard analysis identified specific safety goals and assumptions necessary to mitigate risks associated with sensor faults and communication failures. The significance of this work lies in providing a validated technical foundation for CACC implementation. The results confirm that DSRC can effectively reduce latency and improve situational awareness, supporting the technical goals of the project. However, the authors emphasize that these findings are currently limited to simulation and require verification through vehicle implementation in Phase 2. The report concludes that while CACC offers tangible benefits for traffic flow and efficiency, its deployment depends on meeting rigorous functional safety standards and ensuring robust performance under various driving conditions, including grade changes and lane changes.

Key finding

Through use of data exchanged via DSRC, improvements in string-stability may be realized and reduced time gaps within a string of equipped vehicles may be feasible if close attention is paid to the additional functional safety requirements.

Methodology

mixed_methods

Sample size: 4

Provenance

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Summary generated by qwen3.6-27b-prismaquant on 2026-06-10; verification: verified.

Topics

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• following distance
• v2x connected vehicle