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1. 1. Assessment of a prediction-based strategy for mixingautonomous and manually driven vehicles in an intersection

   Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

   Författare :ADRIAN NADI; YLVA STEFFNER; [2017]
   Nyckelord :SVM; support vector machine; classification; autonomous vehicles; semi autonomous system; scheduling; intersection; real data; prototype vehicle; SVM; support vector machine; klassificering; autonoma fordon; semi-autonoma system; schemaläggning; korsning; verklig data; prototyp fordon;

   Sammanfattning : The introduction of autonomous vehicles in traffic is driven by expected gains in multiple areas, such as improvement of health and safety, better resource utilization, pollution reduction and greater convenience. The development of more competent algorithms will determine the rate and level of success for the ambitions around autonomous vehicles. LÄS MER