Abstract
The studies and real situations shown that the traffic congestion is one of nowadays highest problems. This problem wassolved in the past using roundabouts and traffic signals. Taking in account the number of cars that is increasing continuously, we can see that past approaches using traffic lights with fixed-time controller for traffic signals timing is obsolete. The present and the future is the using of Intelligent Transportation Systems. Traffic lights systems should be aware about realtime traffic parameters and should adapt accordingly to them. The purpose of this paper is to present a new approach to control traffic signals using rate-monotonic scheduling. Obtained results will be compared with the results obtained by using others real-time scheduling algorithms.
Highlights
Transportation seems to be one of nowadays highest problems
The results shown that Least Execution-Time To Slack Ratio (LETTSR) was better than EDF-ART and fixedtime algorithms
Data obtained from Signal Processing Unit (SPC), that consists in intergeneration time and the average of queue length, will be sent to Adaptive Traffic Controller (ATC)
Summary
If we take in account the data about vehicle production between 1999 and 2017 we can see a trend towards doubling the number of vehicles production every 15 years [1]. This increasing is associated to population increasing from the mobility and goods transportation points of view. The trend is to develop autonomous-driven cars and traffic signals algorithms that are capable to adapt to real-time traffic situations. The algorithms that can adapt by their own to real-time situations are the base of adaptive control concept definition. Results will be analyzed in order to highlight the performance of the algorithm proposed in this paper
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