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openACC. An open database of car-following experiments to study the properties of commercial ACC systems (2004.06342v1)

Published 14 Apr 2020 in eess.SY and cs.SY

Abstract: Commercial Adaptive Cruise Control (ACC) systems are increasingly available as standard options in modern vehicles. At the same time, still little information is openly available on how these systems actually operate and how different is their behavior, depending on the vehicle manufacturer or model.T o reduce this gap, the present paper summarizes the main features of the openACC, an open-access database of different car-following experiments involving a total of 16 vehicles, 11 of which equipped with state-of-the-art commercial ACC systems. As more test campaigns will be carried out by the authors, OpenACC will evolve accordingly. The activity is performed within the framework of the openData policy of the European Commission Joint Research Centre with the objective to engage the whole scientific community towards a better understanding of the properties of ACC vehicles in view of anticipating their possible impacts on traffic flow and prevent possible problems connected to their widespread. A first preliminary analysis on the properties of the 11 ACC systems is conducted in order to showcase the different research topics that can be studied within this open science initiative.

Citations (164)

Summary

  • The paper introduces openACC, an open database providing comprehensive experimental data from car-following studies to facilitate empirical research on commercial adaptive cruise control systems.
  • Initial analysis using openACC reveals that commercial ACC systems can exhibit string instability, amplifying perturbations in platoons, which has implications for traffic flow stability.
  • Findings from openACC suggest that ACC systems have human-like, variable response times and more homogeneous headway settings, highlighting the need for realistic ACC modeling in traffic simulations.

Insights and Implications of the openACC Database on Adaptive Cruise Control Systems

The research conducted by Makridis et al. introduces the openACC, an open-access database designed to facilitate empirical studies on commercially available Adaptive Cruise Control (ACC) systems. This initiative comes at a pivotal time when the proliferation of ACC-equipped vehicles on roads is likely to influence traffic dynamics profoundly. By providing comprehensive data from 16 vehicles, including 11 with state-of-the-art ACC systems, the openACC database bridges a critical information gap that has constrained research on traffic flow, vehicle dynamics, and safety implications of ACC systems.

Database Composition and Data Collection

The openACC database results from extensive experimental campaigns focusing on car-following scenarios. Conducted under both real-world and controlled conditions, these campaigns collected trajectory data at a frequency of 10 Hz from vehicles equipped with sophisticated GNSS-based data acquisition systems. The dataset encompasses temporal dynamics across varying driving conditions, both with and without ACC enabled, to capture the nuances in vehicle behavior and interaction.

Preliminary Findings and Discussion

Initial analyses of the openACC dataset reveal several substantive insights into the performance and implications of commercial ACC systems:

  1. Acceleration and Deceleration Dynamics: The research highlights that ACC systems tend to produce smoother acceleration and deceleration profiles under stable conditions. However, they exhibit significant variability in response to perturbations, suggesting a potential area of paper regarding passenger discomfort and safety considerations.
  2. Response Time Estimations: Empirical data suggest that ACC systems exhibit a response time in the range of human drivers, but with considerable variability depending on the system make and model. This finding challenges the previously held assumption of instantaneous response capability in ACC simulations and emphasizes the need for realistic modeling of ACC systems in microsimulations.
  3. String Stability and Traffic Flow: The paper finds evidence of string instability in platoons of vehicles using ACC, particularly when time headway settings are minimized. This amplification of perturbations upstream underscores the potential impact on traffic flow stability, raising concerns about increased traffic oscillations and their propagation in high-penetration scenarios.
  4. Headway Settings and Heterogeneity: By comparing human and ACC-driven vehicles, the research highlights the variability in headway distributions. ACC systems exhibit a more homogeneous behavior, suggesting potential standardization opportunities that could mitigate adverse impacts on traffic density and throughput.

Implications and Future Research Directions

The openACC database stands as a critical resource for advancing the understanding of ACC systems' operational characteristics and their broader implications. It calls for the development of enhanced traffic simulation models that incorporate realistic ACC behavior to predict traffic dynamics more accurately.

Furthermore, the dataset provides a basis for regulatory discourse on ACC system standardization, potentially guiding manufacturers and policymakers toward optimizing these systems for traffic stability. The findings also prompt further empirical studies focusing on longer car-platoons and an exploration of other advanced driver-assistance systems, such as Automated Emergency Braking and lane-keeping functionalities.

Conclusion

The contribution of Makridis et al. through the openACC database represents a significant step in addressing the knowledge gap surrounding commercial ACC systems and their collective impact on traffic networks. As additional data becomes available, future research can explore the system-level effects of ACC on road safety, network capacity, and energy consumption, paving the way for informed advancements in vehicular automation and traffic management strategies.