elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

Criticality dimension-based probabilistic framework to detect near crashes in a roundabout

Trullos Pastor, Juan and Zhang, Meng and Junghans, Marek and Gimm, Kay (2023) Criticality dimension-based probabilistic framework to detect near crashes in a roundabout. European Transport Research Review, 15 (35). Springer. doi: 10.1186/s12544-023-00602-4. ISSN 1867-0717.

[img] PDF - Published version
2MB

Official URL: https://etrr.springeropen.com/articles/10.1186/s12544-023-00602-4

Abstract

Background: Preventing fatal traffic accidents towards Vision Zero is a challenge for the society. The collection of critical events from video recorded traffic data is of essential value for a better understanding on how and under what circumstances critical situations evolve. Identified behavioral patterns and derived infrastructural measures cannot only help to make driving safer, but also help to mature automated driving functions (ADFs) to make automated vehicles drive and interact more like humans especially in challenging situations. One flaw when developing ADFs is the dependency on synthetic simulated traffic scenarios. Method: In this paper, a novel probability-based framework is proposed allowing to measure the degree of criticality C(d) based on two dimensions explaining risk: severity (delta-v) and proximity (distance). Results: This metric is applied on real data of a roundabout. An initial evaluation of it was conducted using both a novel proposed method that takes the reaction of the second vehicle merged into account, and a practical application that shows a potential correlation between the traffic expert’s perceived risk and the metric. Conclusion: Quantifying risk on each of the collected real traffic scenarios makes testing ADFs possible in further more reliable and significant scenarios like near-crashes.

Item URL in elib:https://elib.dlr.de/200695/
Document Type:Article
Title:Criticality dimension-based probabilistic framework to detect near crashes in a roundabout
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Trullos Pastor, JuanUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Zhang, MengUNSPECIFIEDhttps://orcid.org/0000-0003-1655-764XUNSPECIFIED
Junghans, MarekUNSPECIFIEDhttps://orcid.org/0000-0003-2019-401XUNSPECIFIED
Gimm, KayUNSPECIFIEDhttps://orcid.org/0000-0002-5136-685X148476639
Date:October 2023
Journal or Publication Title:European Transport Research Review
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:15
DOI:10.1186/s12544-023-00602-4
Publisher:Springer
ISSN:1867-0717
Status:Published
Keywords:Traffic observation, Trajectory data, Roundabout scenario, Merging interactions, Traffic safety, Safety critical event, Criticality, SMoS
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Road Transport
DLR - Research area:Transport
DLR - Program:V ST Straßenverkehr
DLR - Research theme (Project):V - KoKoVI - Koordinierter kooperativer Verkehr mit verteilter, lernender Intelligenz
Location: Berlin-Adlershof , Braunschweig
Institutes and Institutions:Institute of Transportation Systems > Information Gathering and Modelling, BS
Institute of Transportation Systems > Information Gathering and Modelling, BA
Deposited By: Zhang, Meng
Deposited On:11 Dec 2023 12:28
Last Modified:30 Jan 2024 10:06

Repository Staff Only: item control page

Browse
Search
Help & Contact
Information
electronic library is running on EPrints 3.3.12
Website and database design: Copyright © German Aerospace Center (DLR). All rights reserved.