Pregled bibliografske jedinice broj: 1244749
A digital twin in transportation: Real-time synergy of traffic data streams and simulation for virtualizing motorway dynamics
A digital twin in transportation: Real-time synergy of traffic data streams and simulation for virtualizing motorway dynamics // Advanced Engineering Informatics, 55 (2023), 101858, 17 doi:10.1016/j.aei.2022.101858 (međunarodna recenzija, članak, znanstveni)
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Naslov
A digital twin in transportation: Real-time synergy of traffic data streams and simulation for virtualizing motorway dynamics
Autori
Kušić, Krešimir ; Schumann, René ; Ivanjko, Edouard
Kolaboracija
Swiss Government Excellence Scholarships
Izvornik
Advanced Engineering Informatics (1474-0346) 55
(2023);
101858, 17
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
Digital twin ; Microscopic traffic simulation ; Real-time Big Data analytics ; Calibration ; Traffic sensors ; Smart roads
Sažetak
The introduction of digital twins is expected to fundamentally change the technology in transportation systems, as they appear to be a compelling concept for monitoring the entire life cycle of the transport system. The advent of widespread information technology, particularly the availability of real-time traffic data, provides the foundation for supplementing predominated (offline) microscopic simulation approaches with actual data to create a detailed real-time digital representation of the physical traffic. However, the use of actual traffic data in real-time motorway analysis has not yet been explored. The reason is that there are no supporting models and the applicability of real-time data in the context of microscopic simulations has yet to be recognized. Thus, this article focuses on microscopic motorway simulation with real-time data integration during system run-time. As a result, we propose a novel paradigm in motorway traffic modeling and demonstrate it using the continuously synchronized digital twin model of the Geneva motorway (DT-GM). We analyze the application of the microscopic simulator SUMO in modeling and simulating on-the-fly synchronized digital replicas of real traffic by leveraging fine-grained actual traffic data streams from motorway traffic counters as input to DT-GM. Thus, the detailed methodological process of developing DT-GM is presented, highlighting the calibration features of SUMO that enable (dynamic) continuous calibration of running simulation scenarios. By doing so, the actual traffic data are directly fused into the running DT-GM every minute so that DT- GM is continuously calibrated as the physical equivalent changes. Accordingly, DT-GM raises a technology dimension in motorway traffic simulation to the next level by enabling simulation-based control optimization during system run-time that was previously unattainable. It thus forms the foundation for further evolution of real-time predictive analytics as support for safety-critical decisions in traffic management. Simulation results provide a solid basis for the future real-time analysis of an extended Swiss motorway network.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo, Tehnologija prometa i transport
Napomena
Rad je nastao u tijekom jednogodišnjeg boravka prvog autora Krešimira Kušića u Smart Infrastructure Laboratory, University of Applied Sciences and Arts Western Switzerland Valais/Wallis (HES-SO), Techno-Pole 3, Sierre 3960, Switzerland pod mentorstvom prof. Rene Schumann financiranog iz programa znanstvene izvrsnosti švicarske vlade.
POVEZANOST RADA
Projekti:
--KK.01.1.1.01.009 - Napredne metode i tehnologije u znanosti o podatcima i kooperativnim sustavima (DATACROSS) (Šmuc, Tomislav; Lončarić, Sven; Petrović, Ivan; Jokić, Andrej; Palunko, Ivana) ( CroRIS)
HRZZ-IP-2020-02-5042 - Razvoj sustava zasnovanih na učećim agentima za unaprijeđenje upravljanja prometom u gradovima (DLASIUT) (Ivanjko, Edouard, HRZZ - 2020-02) ( CroRIS)
Ustanove:
Fakultet prometnih znanosti, Zagreb
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus