Extraction of Risk Knowledge from Time To Collision Variation in Roundabouts

Deveaux, Duncan; Higuchi, Tetsuya; Uçar, Seyhan; Wang, Chang‐Heng; Härri, Jérôme; Altintas, Onur

doi:10.1109/itsc48978.2021.9564570

Cited by 16 publications

(5 citation statements)

References 17 publications

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“…In this study, the TTC was obtained in the toll gate section, which included a scenario in which the ego vehicle followed the target vehicle to evaluate the performance in multiple scenarios. The threshold value for the TTC was set to 1.5 s, as suggested by [37,38]. The ramp section was excluded from the evaluation because the single and multiple scenario conditions were identically configured.…”

Section: Compare Single and Multiple Scenariosmentioning

confidence: 99%

Method of Evaluating Multiple Scenarios in a Single Simulation Run for Automated Vehicle Assessment

Kim,

Kang,

Jeong

et al. 2023

Sensors

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With advances in the technology applied to automated driving systems (ADSs), active efforts have been made to evaluate the safety of ADS in various complex situations using simulations. In accordance with these efforts, numerous institutions have developed single-scenario pools that reflect a variety of road and traffic characteristics and ADS performances. However, a single scenario has limitations in comprehensively evaluating the performance of complex ADS. Therefore, this study proposed a methodology that combines and transforms single scenarios into multiple scenarios. This aided in continuously evaluating the ADS performance over entire road segments and implemented this methodology in the simulations.

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Section: Compare Single and Multiple Scenariosmentioning

confidence: 99%

Method of Evaluating Multiple Scenarios in a Single Simulation Run for Automated Vehicle Assessment

Kim,

Kang,

Jeong

et al. 2023

Sensors

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show abstract

“…Drawing insights from driving data, a study proposes the application of numerical optimization techniques to minimize travel time and enhance comfort through meticulous motion planning and speed profiling. The investigation also delves into the analysis of driving risks in roundabouts, seeking to influence the behavior of autonomous vehicles for improved driving comfort and overall road safety [33]. Furthermore, a machine learning model is trained to discern safe vehicle movements and potential exits, complemented by the development of an optimal control method aimed at minimizing travel time and enhancing energy efficiency.…”

Section: Literature Reviewmentioning

confidence: 99%

Roundabout Trajectory Planning: Integrating Human Driving Models for Autonomous Vehicles

Leonardi,

Distefano

2023

Sustainability

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This research investigates the utilization of human driving models in autonomous vehicles, particularly in scenarios with minimal or no interactions with other vehicles. Human driving models provide valuable insights into driver behavior and play a crucial role in shaping the behavior of autonomous vehicles, enhancing their performance and user experience. The primary focus of this study is the creation of a planning model for autonomous vehicles when navigating roundabouts in the absence of traffic. This model seeks to emulate human driving behavior, ensuring predictability, safety, the optimization of traffic flow, and adaptation to various roundabout geometries. To achieve this, the research introduces a trajectory model that takes into account geometric attributes and speed variations within roundabouts. The model is calibrated using empirical data and generalizes parameters through statistical regression methodologies. In particular, speed profile modeling is evaluated for its consistency in creating plans that faithfully replicate human driving behavior in roundabouts. While the study presents a promising approach, it acknowledges limitations related to the model’s reliance on geometric attributes and its inability to account for external factors like weather conditions. This research underscores the importance of bridging the gap between theoretical research and practical application, with the aim of enhancing safety and the overall user experience in real-world driving scenarios.

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“…Machine learning for the application of risk analysis to increase the support of driver assistance systems in roundabouts was of interest in the research of [16]. The authors focused on connected and autonomous vehicles driving on multilane roundabouts.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Safety aspects (all papers are connected to this topic, but it was especially significant in the studies referenced here) [1,2,8,[12][13][14][15][16]],…”

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confidence: 99%

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Calculation of an Average Vehicle’s Sideways Acceleration on Small Roundabouts

Jagelčák

Gnap

Kostrzewski

et al. 2022

Sensors

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The calculation of the average sideways acceleration, based on speed and angular velocity on small roundabouts for a vehicle of up to 3.5 t gross vehicle mass, is described in this paper. Calculations of the turning radius are derived from angular velocity and an automatic selection of events, based on the lateral acceleration of the coefficient of variation within a defined time window. The calculation of the turning radius based on speed and angular velocity yields almost identical results to the calculation of the turning radius by the three-point method using GPS coordinates, as described in previous research. This means that the calculation of the turning radius, derived from the speed of GNSS/INS dual-antenna sensor and gyroscope data, yields similar results to those from the computation of the turning radius derived from the coordinates of a GNSS/INS dual-antenna sensor. The research results can be used in the development of sensors to improve road safety.

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Extraction of Risk Knowledge from Time To Collision Variation in Roundabouts

Cited by 16 publications

References 17 publications

Method of Evaluating Multiple Scenarios in a Single Simulation Run for Automated Vehicle Assessment

Method of Evaluating Multiple Scenarios in a Single Simulation Run for Automated Vehicle Assessment

Roundabout Trajectory Planning: Integrating Human Driving Models for Autonomous Vehicles

Calculation of an Average Vehicle’s Sideways Acceleration on Small Roundabouts

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