Non-stopping Junctions via Traffic Scheduling

Shlomi Dolev, Ehud Gudes, Hannah Yair

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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].

Original languageAmerican English
Title of host publicationCyber Security, Cryptology, and Machine Learning - 6th International Symposium, CSCML 2022, Proceedings
EditorsShlomi Dolev, Amnon Meisels, Jonathan Katz
PublisherSpringer Science and Business Media Deutschland GmbH
Pages247-258
Number of pages12
ISBN (Print)9783031076886
DOIs
StatePublished - 1 Jan 2022
Event6th International Symposium on Cyber Security Cryptography and Machine Learning, CSCML 2022 - Beer Sheva, Israel
Duration: 30 Jun 20221 Jul 2022

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13301 LNCS

Conference

Conference6th International Symposium on Cyber Security Cryptography and Machine Learning, CSCML 2022
Country/TerritoryIsrael
CityBeer Sheva
Period30/06/221/07/22

Keywords

  • Autonomous vehicles
  • Junction
  • Platoon
  • Scheduling
  • Virtual traffic light

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science

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