Abstract
Emergency situations involve massive movements of (logistic and units) platoons to and from focal locations. Platoons may move in different directions and can be blocking each other in junctions causing even deadlocks. The possibility to minimize the delay in junctions, in particular, non-stopping and waiting for a (virtual) green light, may avoid the chain phenomena of cascade stopping and cascade starting to move again when all cars wait for the car in front of them to gain enough velocity. The remote driving system is an opportunity to stream all platoons driving in different directions without stopping, by spacing vehicles to allow conflicting traffic to move in the space between vehicles. In this work, we present briefly the algorithms to identify and control platoons and focus on the real-time junction scheduling towards the non-stopping junction(s). We demonstrate the results that imply road safety as actions are remotely controlled, by using the SUMO simulator [7].
This research was partially funded by the Andromeda MAGNET Consortium, by the Lynne and William Frankel Center for Computer Science and by Rita Altura chair in computer science.
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Demonstration video (2022). https://drive.google.com/file/d/1-R2n7-aqiLFBNtfJe3FH4NDB4uMZuz31/view?usp=sharing
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Dolev, S., Gudes, E., Yair, H. (2022). Non-stopping Junctions via Traffic Scheduling. In: Dolev, S., Katz, J., Meisels, A. (eds) Cyber Security, Cryptology, and Machine Learning. CSCML 2022. Lecture Notes in Computer Science, vol 13301. Springer, Cham. https://doi.org/10.1007/978-3-031-07689-3_19
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DOI: https://doi.org/10.1007/978-3-031-07689-3_19
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