Towards an Improved Safety Benefit Assessment for Heavy Trucks - Introduction of a framework for the combination of different data sources
The first objective of this thesis is to provide a framework that can incorporate multiple data sources and combine their results into one common safety benefit output. The proposed framework within this thesis is based on Bayesian modelling and can update prior information (e.g. simulation results of a new ADAS) with new observations (e.g. test track results of the ADAS). The framework can incorporate additional information such as user acceptance and market penetration of the ADAS for an improved benefit assessment. The output of the framework can easily be incorporated as prior knowledge in new safety benefit assessments, e.g. when new data is available.
The second objective is to prepare the application of the framework for the assessment of the safety benefit associated to the introduction of new ADAS for long-haul trucks. In order to specify the most critical crash scenarios for HGVs in Europe, a detailed, three-level analysis of crashes involving long-haul trucks was performed, starting on a general European level and going to in-depth crash data. The identified target scenarios are (a) rear-end crashes with the truck as the striking vehicle, (b) crashes between a right-turning truck and adjacent cyclist and (c) crashes between a truck and a pedestrian crossing in front of the truck. These three scenarios should be the basis for ADAS development and further addressed by driver behaviour modelling in the future.
Future work will focus on improving simulation results by incorporating more accurate driver models, that are better able to represent truck driver behaviour, e.g. brake or steering reactions. These models will help to obtain more valid simulation results, and thereby increase the output quality of the framework.
safety benefit assessment
crash data analysis
Chalmers, Mekanik och maritima vetenskaper, Fordonssäkerhet
Safety benefit assessment of autonomous emergency braking and steering systems for the protection of cyclists and pedestrians based on a combination of computer simulation and real-world test results
Accident Analysis and Prevention,; Vol. 136(2020)
Artikel i vetenskaplig tidskrift
Aerodynamic and Flexible Trucks for Next Generation of Long Distance Road Transport (AEROFLEX)
Europeiska kommissionen (EU) (EC/H2020/769658), 2017-10-01 -- 2021-03-01.
Proactive Safety for Pedestrians and Cyclists (PROSPECT)
Europeiska kommissionen (EU) (EC/H2020/634149), 2015-05-01 -- 2018-10-31.
Thesis for the degree of Licentiate – Department of Mechanics and Maritime Sciences: 2020:02
Alfa, Hus Saga, Hörselgången 4 (Lindholmen)
Opponent: Dr. Jesper Sandin, VTI, Sweden