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Simulating Cooperative Behaviour in Vehicular Communication: Reactivity in Simulated Traffic Environments
Halmstad University, School of Information Technology.
2025 (English)Independent thesis Basic level (university diploma), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

This thesis explores the use of V2X communication to enable reactive rerouting be-havior in vehicles, based on Decentralized Environmental Notification Messages.The implementation was carried out in the Artery simulation framework, inte-grating OMNeT++ and SUMO, with rerouting controlled via the TraCI interface.The simulation evaluated system behavior across five communication penetrationrates (0–100%), focusing on key performance indicators: average speed, time loss,route length, and trip duration.Results show that V2X-triggered rerouting can offer modest improvements intraffic flow, with average speed increasing slightly at higher penetration levels.However, this comes at the cost of longer routes and extended trip durations, dueto rerouting away from congested areas toward less direct paths. Rerouting con-ditions need to be quite conservative so as not to inflict false positives and disrupttraffic flow. These findings reflect the behavior of shortest-time path routing andconfirm that the system meets functional expectations.A key limitation was discovered during partial penetration scenarios, wheresimulation crashes occurred in Artery when communication-enabled vehicles in-teracted with non-communicating ones. This bug restricts simulation stability un-der mixed conditions and limits broader applicability. Nonetheless, the systemperformed reliably under full V2X penetration, with efficient execution of rerout-ing logic and consistent results across repeated runs.The project confirms that communication-triggered reactivity is technicallyachievable in a simulated traffic environment and offers practical insights intoits potential impact on cooperative vehicle systems.

Abstract [sv]

Detta examensarbete undersöker hur V2X-kommunikation kan möjliggöra reaktivomrutning av fordon baserat på Decentralized Environmental Notification Mes-sages. Implementationen genomfördes i simuleringsramverket Artery, med inte-gration av OMNeT++ och SUMO, där omrutning styrs via gränssnittet TraCI.Systemet utvärderades under fem olika nivåer av kommunikationspenetration(0%–100%), med fokus på nyckelindikatorer som medelhastighet, tidsförlust, rut-tlängd och restid.Resultaten visar att omrutning baserad på V2X-kommunikation ger en måttligförbättring av trafikflödet, där medelhastigheten ökar något vid högre penetra-tionsnivåer. Detta sker dock till priset av längre rutter och ökad restid, eftersomfordonen undviker köbildning genom att ta mindre direkta vägar. Kraven för om-rutning måste dock vara konservativa för att inte störa traffik flöde. Dessa re-sultat återspeglar hur kortast-tid-algoritmer fungerar och bekräftar att systemetuppfyller de tekniska kraven.Ett viktigt begränsande problem upptäcktes vid simulering av blandade sce-narier, där Artery kraschar när kommunicerande fordon interagerar med icke-kommunicerande fordon. Detta påverkar systemets stabilitet vid delvis utrullningoch begränsar möjligheten till bredare tillämpning. Trots detta fungerade systemetstabilt vid full V2X-penetration, med effektiv omrutning och konsekventa resultatvid upprepade körningar.Projektet bekräftar att kommunikationsutlöst reaktivitet är tekniskt möjlig ien simulerad trafikmiljö och ger praktiska insikter i dess potentiella inverkan påkooperativa fordonssystem.

Place, publisher, year, edition, pages
2025. , p. 49
Series
Forskning i Halmstad, ISSN 1400-5409
Keywords [en]
Artery, SUMO, Cooperative Intelligent Transport System, Vehicular Communication, CCAM
Keywords [sv]
Artery, SUMO, Kooperativa Intelligenta Transportsystem, Fordonskom- munikation, Kooperativ och uppkopplad fordonsmobilitet
National Category
Other Engineering and Technologies
Identifiers
URN: urn:nbn:se:hh:diva-57103OAI: oai:DiVA.org:hh-57103DiVA, id: diva2:1985578
Subject / course
Computer science and engineering
Educational program
Computer Science and Engineering, 300 credits
Supervisors
Examiners
Available from: 2025-07-28 Created: 2025-07-25 Last updated: 2025-10-01Bibliographically approved

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CiteExportLink to record
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