A Proposal of Flexible Railway Signalling System Utilizing Autonomous Decentralized Technology

Kunifuji, Takashi; Möri, K.; Miura, T.; Nishiyama, Jun

doi:10.1109/icdcsw.2009.57

Cited by 4 publications

(3 citation statements)

References 6 publications

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“…A few studies concentrated their efforts on railroad signaling system modeling and improvements. Kunifuji et al [71] indicated that the efficiency of the existing railroad signaling system was quite low (e.g., the time allocated to certain activities along rail tracks was not sufficient due to low flexibility of the existing signaling system). The study proposed an alternative railroad signaling system that was based on the network and autonomous decentralized technology.…”

Section: Figure 16 Iiot-enabled Technologies For Rail Transportationmentioning

confidence: 99%

“…The results from the conducted simulation analysis demonstrated that the AT deployment could substantially increase the rail network capacity, as consecutive trains could be operated at a smaller distance. 45 Kunifuji et al (2009) [71]…”

Section: Design and Technologies For Autonomous Trains 30mentioning

confidence: 99%

“…The operational costs savings due to the AT deployment will depend on physical and operational characteristics of a rail line.  The AT deployment is expected to improve the overall service reliability [16,52,71], which is considered as an important aspect for passenger and freight rail transportation. An increase in the level of automation allows reducing potential disruptions in train operations due to human errors.…”

Section: Autonomous Trains and Highway-rail Grade Crossings 55mentioning

confidence: 99%

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Deployment of Autonomous Trains in Rail Transportation: Current Trends and Existing Challenges

et al. 2021

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Automation is expected to effectively address the growing demand for passenger and freight transportation, safety issues, human errors, and increasing congestion. The growth of autonomous vehicles using the state-of-the-art connected vehicle technologies has paved the way for the development of passenger and freight autonomous trains (ATs), also known as driverless trains. ATs are fully automated trains that are centrally controlled using advanced communication and internet technologies, such as highspeed internet (5G) technology, Internet of Things, dedicated short range communications, digital video detection cameras, and artificial intelligence-based methods. The current study focuses on a detailed up-todate review of the existing trends, technologies, advancements, and challenges in the deployment of ATs with a full automation level in rail transportation. The basic AT features along with the key technologies that are instrumental for the AT deployment and operations are discussed in detail. Furthermore, a comprehensive evaluation of the state-of-the-art research efforts is performed as well with a specific emphasis on the issues associated with the AT deployment, user perception and outlook for ATs, innovative concepts and models that could be used for the AT design, and the AT operations at highway-rail grade crossings. Based on the conducted review, this study determines the main advantages and challenges from the AT deployment. The identified challenges have to be collaboratively addressed by the relevant stakeholders, including railroad companies, researchers, and government representatives, to facilitate the AT development and deployment considering the perspectives of future users and without affecting the safety level.INDEX TERMS Autonomous trains, driverless trains, connected vehicles, autonomous vehicles, automation trends, automation challenges.

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Section: Figure 16 Iiot-enabled Technologies For Rail Transportationmentioning

confidence: 99%

Section: Design and Technologies For Autonomous Trains 30mentioning

confidence: 99%