Abstract
The future of traffic management will be based on “connected” and “autonomous” vehicles. With connected vehicles it is possible to gather real-time information. The main potential application of this information is in real-time adaptive traffic signal control. Despite the feasibility of using Floating Car Data (FCD), for signal control, there have been practically no real experiments with all “connected” vehicles to regulate traffic signals in real-time. Most of the research in this field has been carried out with simulations. The purpose of this study is to present a dedicated system that was implemented in the first experiment of an FCD-based adaptive traffic signal. For the first time in the history of traffic management, a traffic signal has been regulated in real time with real “connected” vehicles. This paper describes the entire path of software and system development that has allowed us to make the steps from just simulation test to a real on-field implementation. Results of the experiments carried out with the presented system prove the feasibility of FCD adaptive traffic signals with commonly-used technologies and also establishes a test-bed that may help others to develop better regulation algorithms for these kinds of new “connected” intersections.
Highlights
Connected vehicles will become an important element of the forthcoming Internet of Things (IoT)and of Intelligent Transportation Systems (ITS) [1]
We did not confront our system with a traditional real time adaptive traffic signal system
These results demonstrated that according to simulations, the reduction in overall travel time justifies the implementation of the proposed system by city administrations that would be able to regulate traffic signals using inexpensive Floating Car Data (FCD)
Summary
Connected vehicles will become an important element of the forthcoming Internet of Things (IoT)and of Intelligent Transportation Systems (ITS) [1]. Traditional traffic engineering practice was based on attempts to shift demand on transit systems [2] and on better road traffic control by adopting tools such as: traffic simulation [3,4,5,6,7,8] dynamic network loading equilibrium and dynamic models [9,10,11,12] and the study and attempt to affect user route choice [13,14,15,16,17] All these methodologies, that often do not require the use of advanced technologies, were applied by road administrations with varying results. This can cause traffic congestion that is a serious problem in cities and a great cause of air pollution [18,19,20,21]
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