A review of traffic signal control methods and experiments based on Floating Car Data (FCD)
Author(s) -
Vittorio Astarita,
Vincenzo Pasquale Giofrè,
Giuseppe Guido,
Alessandro Vitale
Publication year - 2020
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2020.07.110
Subject(s) - floating car data , computer science , signal (programming language) , control (management) , traffic flow (computer networking) , traffic signal , intelligent transportation system , real time computing , traffic congestion , transport engineering , computer security , artificial intelligence , engineering , programming language
This paper intends to give a short review of the state of the art on the use of floating car data concerning the management of traffic flow at signalized intersections. New technologies such as connected and autonomous vehicles and Co-operative Intelligent Transportation Systems (C-ITS) are going to change the future of traffic control and management. Traffic signal control systems can be reorganized by using Floating Car Data (FCD), yet the concept of floating car data (FCD) has been mainly studied to gain traffic information and/or signal information. Only recent works have been focalizing on the potential application of FCD for traffic signal real-time control. This paper aims to evidence the most important concepts that can be extracted from the literature on this important topic.
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