Traffic Flow Variables Estimation: An Automated Procedure Based on Moving Observer Method. Potential Application for Autonomous Vehicles

Autor: Guerrieri Marco, Parla Giuseppe, Mauro Raffaele
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: Transport and Telecommunication, Vol 20, Iss 3, Pp 205-214 (2019)
Druh dokumentu: article
ISSN: 1407-6179
DOI: 10.2478/ttj-2019-0017
Popis: The estimation of traffic flow variables (flow, space mean speed and density) plays a fundamental role in highways planning and designing, as well as in traffic control strategies. Moving Observer Method (MOM) allows traffic surveys in a road, or in a road network. This paper proposes a novel automated procedure, called MOM-AP based on Moving Observer Method and Digital Image Processing (DIP) Technique able to automatically detect (without human observers) and calculate flow q, space mean speed vs and density k in case of stationary and homogeneous traffic conditions.
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