Abstract
This paper presents the design of a fuzzy logic-based traffic scheduling algorithm aimed at reducing traffic congestion for the case of partial obstruction of a bidirectional traffic lane. Such a problem is typically encountered in rail traffic and personal rapid transportation systems with predefined and fixed traffic corridors. The proposed proportional-derivative (PD) fuzzy control algorithm, serving as a traffic control automaton, alternately assigns adaptive green light periods to traffic coming from each direction. The proposed fuzzy logic-based traffic controller has been compared with the conventional traffic control automaton featuring fixed-durations of green light intervals. The comparison has been carried out within a simulation environment for four different probability distributions of stochastic traffic flows at each end of the considered traffic corridor. Results have shown that the proposed fuzzy logic-based traffic controller performance is far superior to that of the conventional traffic control law in terms of achieving shorter vehicle queue lengths and less disparity in queue lengths for all considered simulation scenarios.
Highlights
Unforeseen or even planned infrastructural deviations may result in notable traffic slowdown or congested traffic conditions [1]
This paper has presented a fuzzy logic-based traffic scheduling algorithm aimed at reducing traffic congestion
The proposed proportional-derivative (PD) fuzzy control algorithm has been set up to alternately assign variable green light periods to traffic coming from each direction, effectively adapting the green wave policy depending on the disparity of vehicle queue lengths
Summary
Unforeseen or even planned infrastructural deviations may result in notable traffic slowdown or congested traffic conditions [1]. Reference [9] shows that by implementing advanced traffic organisation policies notable conservation of energy and reduction of carbon dioxide (CO2) footprint can be achieved Implementation of such intelligent transportation systems (ITS) in railways has many benefits, from increased transportation capacity and utilisation of existing rolling stock to improvement of transport reliability and traffic safety, while increasing energy efficiency and economic indices [10]. Reference [17] shows that by adapting the duration of green light intervals for both directions of vehicle motion while utilising a single traffic lane (or railway track) to circumvent the traffic obstruction, a notable reduction of vehicle queues can be achieved compared to the traditional traffic control automaton with fixed green light interval durations Having this in mind, this work hypothesises that using a fuzzy logic controller in the case of traffic obstruction would result in significant vehicle queue reduction compared to the traditional approach for different traffic flow regimes.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
