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Safety Analysis of Cooperative Adaptive Cruise Control in Vehicle Cut-in Situations
Högskolan i Halmstad, Akademin för informationsteknologi, Halmstad Embedded and Intelligent Systems Research (EIS), Centrum för forskning om inbyggda system (CERES). The Swedish National Road and Transport Research Institute (VTI), Linköping, Sweden.
Högskolan i Halmstad, Akademin för informationsteknologi, Halmstad Embedded and Intelligent Systems Research (EIS), CAISR Centrum för tillämpade intelligenta system (IS-lab). RISE Viktoria, Göteborg, Sweden.ORCID-id: 0000-0002-1043-8773
The Swedish National Road and Transport Research Institute (VTI), Linköping, Sweden.
Högskolan i Halmstad, Akademin för informationsteknologi, Halmstad Embedded and Intelligent Systems Research (EIS), Centrum för forskning om inbyggda system (CERES).
Vise andre og tillknytning
2017 (engelsk)Inngår i: Proceedings of 2017 4th International Symposium on Future Active Safety Technology towards Zero-Traffic-Accidents (FAST-zero), Society of Automotive Engineers of Japan , 2017, artikkel-id 20174621Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Cooperative adaptive cruise control (CACC) is a cooperative intelligent transport systems (C-ITS) function, which especially when used in platooning applications, possess many expected benefits including efficient road space utilization and reduced fuel consumption. Cut-in manoeuvres in platoons can potentially reduce those benefits, and are not desired from a safety point of view. Unfortunately, in realistic traffic scenarios, cut-in manoeuvres can be expected, especially from non-connected vehicles. In this paper two different controllers for platooning are explored, aiming at maintaining the safety of the platoon while a vehicle is cutting in from the adjacent lane. A realistic scenario, where a human driver performs the cut-in manoeuvre is used to demonstrate the effectiveness of the controllers. Safety analysis of CACC controllers using time to collision (TTC) under such situation is presented. The analysis using TTC indicate that, although potential risks are always high in CACC applications such as platooning due to the small inter-vehicular distances, dangerous TTC (TTC < 6 seconds) is not frequent. Future research directions are also discussed along with the results.

sted, utgiver, år, opplag, sider
Society of Automotive Engineers of Japan , 2017. artikkel-id 20174621
Emneord [en]
cooperative adaptive cruise control, modelling and simulations
HSV kategori
Identifikatorer
URN: urn:nbn:se:hh:diva-35681OAI: oai:DiVA.org:hh-35681DiVA, id: diva2:1161852
Konferanse
4th International Symposium on Future Active Safety Technology towards Zero-Traffic-Accidents (FAST-Zero’17), Nara, Japan, 18-22 September, 2017
Forskningsfinansiär
Knowledge FoundationTilgjengelig fra: 2017-12-01 Laget: 2017-12-01 Sist oppdatert: 2018-11-20bibliografisk kontrollert
Inngår i avhandling
1. A Simulation-Based Safety Analysis of CACC-Enabled Highway Platooning
Åpne denne publikasjonen i ny fane eller vindu >>A Simulation-Based Safety Analysis of CACC-Enabled Highway Platooning
2018 (engelsk)Doktoravhandling, med artikler (Annet vitenskapelig)
Abstract [en]

Cooperative Intelligent Transport Systems (C-ITS) enable actors in the transport systems to interact and collaborate by exchanging information via wireless communication networks. There are several challenges to overcome before they can be implemented and deployed on public roads. Among the most important challenges are testing and evaluation in order to ensure the safety of C-ITS applications.

This thesis focuses on testing and evaluation of C-ITS applications with regard to their safety using simulation. The main focus is on one C-ITS application, namely platooning, that is enabled by the Cooperative Adaptive Cruise Control (CACC) function. Therefore, this thesis considers two main topics: i) what should be modelled and simulated for testing and evaluation of C-ITS applications? and ii) how should CACC functions be evaluated in order to ensure safety?

When C-ITS applications are deployed, we can expect traffic situations which consist of vehicles with different capabilities, in terms of automation and connectivity. We propose that involving human drivers in testing and evaluation is important in such mixed traffic situations. Considering important aspects of C-ITS including human drivers, we propose a simulation framework, which combines driving-, network-, and traffic simulators. The simulation framework has been validated by demonstrating several use cases in the scope of platooning. In particular, it is used to demonstrate and analyse the safety of platooning applications in cut-in situations, where a vehicle driven by a human driver cuts in between vehicles in platoon. To assess the situations, time-to-collision (TTC) and its extensions are used as safety indicators in the analyses.

The simulation framework permits future C-ITS research in other fields such as human factors by involving human drivers in a C-ITS context. Results from the safety analyses show that cut-in situations are not always hazardous, and two factors that are the most highly correlated to the collisions are relative speed and distance between vehicles at the moment of cutting in. Moreover, we suggest that to solely rely on CACC functions is not sufficient to handle cut-in situations. Therefore, guidelines and standards are required to address these situations properly.

sted, utgiver, år, opplag, sider
Halmstad: Halmstad University Press, 2018. s. 103
Serie
Halmstad University Dissertations ; 51
Emneord
simulation, driving simulator, traffic simulator, network simulator, C-ITS, cooperative intelligent transport systems, platooning
HSV kategori
Identifikatorer
urn:nbn:se:hh:diva-38390 (URN)978-91-88749-07-9 (ISBN)978-91-88749-08-6 (ISBN)
Disputas
2018-12-12, Wigforssalen, Hus J (Visionen), Halmstad University, Kristian IV:s väg 3, Halmstad, 10:15 (engelsk)
Opponent
Veileder
Tilgjengelig fra: 2018-11-26 Laget: 2018-11-20 Sist oppdatert: 2019-04-25bibliografisk kontrollert

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