Required Field of View of a Sensor for an Advanced Driving Assistance System to Prevent Heavy-Goods-Vehicle to Bicycle Accidents

Accidents involving cyclists and trucks are among the most severe road accidents. In 2021, 199 cyclists were killed in accidents involving a truck in the EU. The main accident situation is a truck turning right and a cyclist going straight ahead. A large proportion of these accidents are caused by t...

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Main Authors: Ernst Tomasch, Heinz Hoschopf, Karin Ausserer, Jannik Rieß
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Vehicles
Subjects:
Online Access:https://www.mdpi.com/2624-8921/6/4/94
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author Ernst Tomasch
Heinz Hoschopf
Karin Ausserer
Jannik Rieß
author_facet Ernst Tomasch
Heinz Hoschopf
Karin Ausserer
Jannik Rieß
author_sort Ernst Tomasch
collection DOAJ
description Accidents involving cyclists and trucks are among the most severe road accidents. In 2021, 199 cyclists were killed in accidents involving a truck in the EU. The main accident situation is a truck turning right and a cyclist going straight ahead. A large proportion of these accidents are caused by the inadequate visibility in an HGV (Heavy Goods Vehicle). The blind spot, in particular, is a significant contributor to these accidents. A BSD (Blind Spot Detection) system is expected to significantly reduce these accidents. There are only a few studies that estimate the potential of assistance systems, and these studies include a combined assessment of cyclists and pedestrians. In the present study, accident simulations are used to assess a warning and an autonomously intervening assistance system that could prevent truck to cyclist accidents. The main challenges are local sight obstructions such as fences, hedges, etc., rule violations by cyclists, and the complexity of correctly predicting the cyclist’s intentions, i.e., detecting the trajectory. Taking these accident circumstances into consideration, a BSD system could prevent between 26.3% and 65.8% of accidents involving HGVs and cyclists.
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spelling doaj-art-507dc79ec5d248bdb47e75ad0b2f35e22024-12-27T14:58:21ZengMDPI AGVehicles2624-89212024-11-01641922194110.3390/vehicles6040094Required Field of View of a Sensor for an Advanced Driving Assistance System to Prevent Heavy-Goods-Vehicle to Bicycle AccidentsErnst Tomasch0Heinz Hoschopf1Karin Ausserer2Jannik Rieß3Vehicle Safety Institute, Graz University of Technology, Inffeldgasse 13/6, 8010 Graz, AustriaVehicle Safety Institute, Graz University of Technology, Inffeldgasse 13/6, 8010 Graz, AustriaFactum-Apptec Ventures GmbH, Slamastraße 43, 1230 Vienna, AustriaFactum-Apptec Ventures GmbH, Slamastraße 43, 1230 Vienna, AustriaAccidents involving cyclists and trucks are among the most severe road accidents. In 2021, 199 cyclists were killed in accidents involving a truck in the EU. The main accident situation is a truck turning right and a cyclist going straight ahead. A large proportion of these accidents are caused by the inadequate visibility in an HGV (Heavy Goods Vehicle). The blind spot, in particular, is a significant contributor to these accidents. A BSD (Blind Spot Detection) system is expected to significantly reduce these accidents. There are only a few studies that estimate the potential of assistance systems, and these studies include a combined assessment of cyclists and pedestrians. In the present study, accident simulations are used to assess a warning and an autonomously intervening assistance system that could prevent truck to cyclist accidents. The main challenges are local sight obstructions such as fences, hedges, etc., rule violations by cyclists, and the complexity of correctly predicting the cyclist’s intentions, i.e., detecting the trajectory. Taking these accident circumstances into consideration, a BSD system could prevent between 26.3% and 65.8% of accidents involving HGVs and cyclists.https://www.mdpi.com/2624-8921/6/4/94Blind Spot Detectionheavy goods vehicletruckautonomous brakeright turn accidents
spellingShingle Ernst Tomasch
Heinz Hoschopf
Karin Ausserer
Jannik Rieß
Required Field of View of a Sensor for an Advanced Driving Assistance System to Prevent Heavy-Goods-Vehicle to Bicycle Accidents
Vehicles
Blind Spot Detection
heavy goods vehicle
truck
autonomous brake
right turn accidents
title Required Field of View of a Sensor for an Advanced Driving Assistance System to Prevent Heavy-Goods-Vehicle to Bicycle Accidents
title_full Required Field of View of a Sensor for an Advanced Driving Assistance System to Prevent Heavy-Goods-Vehicle to Bicycle Accidents
title_fullStr Required Field of View of a Sensor for an Advanced Driving Assistance System to Prevent Heavy-Goods-Vehicle to Bicycle Accidents
title_full_unstemmed Required Field of View of a Sensor for an Advanced Driving Assistance System to Prevent Heavy-Goods-Vehicle to Bicycle Accidents
title_short Required Field of View of a Sensor for an Advanced Driving Assistance System to Prevent Heavy-Goods-Vehicle to Bicycle Accidents
title_sort required field of view of a sensor for an advanced driving assistance system to prevent heavy goods vehicle to bicycle accidents
topic Blind Spot Detection
heavy goods vehicle
truck
autonomous brake
right turn accidents
url https://www.mdpi.com/2624-8921/6/4/94
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AT heinzhoschopf requiredfieldofviewofasensorforanadvanceddrivingassistancesystemtopreventheavygoodsvehicletobicycleaccidents
AT karinausserer requiredfieldofviewofasensorforanadvanceddrivingassistancesystemtopreventheavygoodsvehicletobicycleaccidents
AT jannikrieß requiredfieldofviewofasensorforanadvanceddrivingassistancesystemtopreventheavygoodsvehicletobicycleaccidents