Putting autonomous vehicles on the right path

With the expected rise of autonomous vehicles, there’s an opportunity to reap benefits that have been largely overlooked. Rather than plotting a route for autonomous vehicles with the traditional shortest path algorithm, autonomous vehicles could be assigned onto routes that work towards achieving a system optimal network. Such a route choice may slightly hinder the individual vehicle’s travel time, but benefits the system as a whole by reducing congestion on key routes. This is particularly applicable to autonomous vehicles due to the potentially high level of coordination, and the relatively low cost of prolonging the route of empty-running vehicles. This paper aims to apply a system optimal traffic assignment to a present day Melbourne network to highlight latent network performance when compared to a standard user equilibrium assignment. This will emphasise specific routes and travel behaviours that should be encouraged through autonomous vehicle programming to achieve an optimal traffic distribution.


  • English

Media Info

  • Pagination: 6p
  • Monograph Title: AITPM National Traffic and Transport Conference, 15-18 August 2017, Melbourne

Subject/Index Terms

Filing Info

  • Accession Number: 01664008
  • Record Type: Publication
  • Source Agency: ARRB
  • Files: ITRD, ATRI
  • Created Date: Mar 22 2018 12:28PM