AEB effectiveness evaluation based on car-to-cyclist accident reconstructions using video of drive recorder

Zhao, Yu; Ito, Daisuke; Mizuno, Koji

doi:10.1080/15389588.2018.1533247

Cited by 43 publications

(33 citation statements)

References 13 publications

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“…total FOV of 140°) and a 50m range FCW also greatly affect positively the avoidance and the mitigation rates. Zhao et al (2019) analysed the AEB effectiveness based on accident reconstructions from video recorder mounted on taxi vehicles. They showed that FOV parameter has a significant influence on collision avoidance.…”

Section: Discussionmentioning

confidence: 99%

Car-to-cyclist forward collision warning effectiveness evaluation: a parametric analysis on reconstructed real accident cases

Char

Serre

Compigne

et al. 2020

International Journal of Crashworthiness

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The objective of the study is to quantify the benefits of an earlier brake activation by the drivers potentially achieved by a Forward Collision Warning (FCW) system in simulated car-to-cyclist accident scenarios. A parametric analysis is performed by varying the detection sensor Field Of View (FOV), the FCW trigger time and the driver's reaction lag time to the FCW. Almost two thousand and three hundred car-to-cyclist accidents are clustered in the following five main scenarios: crossing nearside (33%), crossing farside (22%), longitudinal (5%), turning left (12%) and turning right (22%). The remaining is clustered in Others group (6%). For all accident cases, original accident kinematics are processed through Matlab scripts from which FCW FOV, FCW trigger time and driver's reaction can be modified. The Matlab scripts return the new accident kinematics which can result in the accident being avoided or mitigated. This study shows that a 70° FOV, a FCW trigger time of 2.6s before the impact and a 0.6s driver's reaction to the FCW has a positive result in 82% of the accident cases with 78% being avoided and 4% mitigated. Concerning the parameters, the FOV has a greater influence on the avoidance rates compared to FCW trigger time and driver's reaction. Our study also reveals that FCW system has a higher benefit in the crossing farside scenario and a lower benefit in the turning right scenario. This paper highlights generic characteristics of FCW systems to optimize safety benefit for the different accident scenarios.

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Section: Discussionmentioning

confidence: 99%

Car-to-cyclist forward collision warning effectiveness evaluation: a parametric analysis on reconstructed real accident cases

Char

Serre

Compigne

et al. 2020

International Journal of Crashworthiness

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“…DDRs have the most common image sensors and usually have very high resolution. These sensors collect data that help the electronic control unit (ECU) to identify the road conditions ahead and analyze the association of the driver's view and potential accidents [2,3]. They can also help to objectively record risky driving [4].…”

Section: Introductionmentioning

confidence: 99%

A Novel Vehicle Tracking ID Switches Algorithm for Driving Recording Sensors

Zhao

Zhou

et al. 2020

Sensors

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The main task for real-time vehicle tracking is establishing associations with objects in consecutive frames. After occlusion occurs between vehicles during the tracking process, the vehicle is given a new ID when it is tracked again. In this study, a novel method to track vehicles between video frames was constructed. This method was applied on driving recorder sensors. The neural network model was trained by YOLO v3 and the system collects video of vehicles on the road using a driving data recorder (DDR). We used the modified Deep SORT algorithm with a Kalman filter to predict the position of the vehicles and to calculate the Mahalanobis, cosine, and Euclidean distances. Appearance metrics were incorporated into the cosine distances. The experiments proved that our algorithm can effectively reduce the number of ID switches by 29.95% on the model trained on the BDD100K dataset, and it can reduce the number of ID switches by 32.16% on the model trained on the COCO dataset.

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“…The causes and dynamics of such accidents are multiple and, without reliable data, difficult to understand. However, as is often done in the case of ordinary traffic accidents, a reliable analysis of motorcycle crash dynamics can be made using video footage, providing us with insights into the causes of the accident and, in some cases, leading to improvements in safety conditions [5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

“…In particular, in the case of ordinary traffic accidents, the video footage that is analyzed comes from safety cameras installed in vehicles, from smartphones [5,8], or from surveillance cameras found in the area of the accident [7]. This footage is then analyzed using software that allows us to precisely measure distances, speed, and angles and hence, reconstruct specific trajectories.…”

Section: Introductionmentioning

confidence: 99%

“…The total length of the track is 4318 m and it features 10 turns with a vertical drop of 65 m. In the specific case of the 2020 Austrian Grand Prix, the contact that occurred between the two bikes could easily have resulted in an unprecedented tragedy. crash dynamics can be made using video footage, providing us with insights into the causes of the accident and, in some cases, leading to improvements in safety conditions [5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

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Descriptive Kinematic Analysis of the Potentially Tragic Accident at the 2020 Austrian MotoGP Grand Prix Using Low-Cost Instruments: A Brief Report

Gervasi

Gobbi

Natalucci

et al. 2020

IJERPH

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Background: During the first Austrian MotoGP Grand Prix of 2020, following a serious accident involving the riders J. Zarco and F. Morbidelli, Morbidelli’s riderless bike cartwheeled across turn 3, narrowly missing V. Rossi and M. Viñales by just a few centimeters. As is the case with ordinary traffic accidents, analyzing the dynamics of motorcycle racing accidents can help improve safety; however, to date, the literature lacks studies that analyze the causes and severity of such accidents. Hence, the purpose of this study was to analyze the main causes that led to the accident at the 2020 Austrian MotoGp Grand Prix, to quantify the speeds and distances of the bikes and riders involved, and to hypothesize several alternative scenarios using a low-cost method. Method: Kinovea and Google Earth Pro software were used to identify markers along the racetrack and to measure the distances and calculate the time it took the motorcycles to cover those distances. The analyses were carried out on three 30-fps (frames per second) videos. Results: Zarco’s average speed as he was overtaking Morbidelli on the straightaway before turn 2 was 302 ± 1.8 km/h, higher than that of Rins and Rossi (299.7 ± 1.7 and 296 ± 1.7 km/h, respectively). The speed of Zarco and Rossi’s bikes 44.5 m before the crash was the same (267 ± 7.9 km/h). Immediately after overtaking Morbidelli, Zarco moved 2.92 m towards the center of the racetrack from point A to B, crossing Morbidelli’s trajectory and triggering the accident. Morbidelli’s riderless bike flew across turn 3 at a speed of about 76 km/h, missing V. Rossi by just 20 cm. The consequences could have been catastrophic if Rossi had not braked just 0.42 s before encountering Morbidelli’s bike in turn 3. Conclusion: Through a low-cost quali-quantitative analysis, the present study helps us to gain a deeper understanding of the dynamics of the accident and its main causes. Furthermore, in light of our findings regarding the dynamics and severity of the accident and the particular layout of the Red Bull Ring circuit, racers should be aware that overtaking at the end of turn 2, following the same trajectory as the riders involved in the crash, could be very risky.

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AEB effectiveness evaluation based on car-to-cyclist accident reconstructions using video of drive recorder

Cited by 43 publications

References 13 publications

Car-to-cyclist forward collision warning effectiveness evaluation: a parametric analysis on reconstructed real accident cases

Car-to-cyclist forward collision warning effectiveness evaluation: a parametric analysis on reconstructed real accident cases

A Novel Vehicle Tracking ID Switches Algorithm for Driving Recording Sensors

Descriptive Kinematic Analysis of the Potentially Tragic Accident at the 2020 Austrian MotoGP Grand Prix Using Low-Cost Instruments: A Brief Report

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