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EN
This paper deals with the problem of urban traffic control, considering public transport as a priority. According to the authors, the occupancy of a means of transport is one of the key decision variables in the process of prioritisation within a traffic signal program. This study aims to construct a method of occupancy-based traffic light priority for public transport and investigate the possibility of using this information to increase the efficiency of signal control for time loss. The mathematical model of the priority level conditioning procedure proposed in the method was tested using a microsimulation model of the intersection. The simulation results were collated and compared with an approach that does not consider vehicle occupancy. Under given traffic conditions, the use of the proposed method allows for reducing the average time losses per person in the modelled road network.
EN
The method for the choice of rational regimes of traffic light control is developed based on the minimization of the number of violations the requirements of traffic light signals by pedestrians depending on the volume-capacity ratio of traffic lanes and control of vehicular queue on the approach to the stop-line. Assessment of rationality is carried out considering the simultaneous impact of such factors as roadway volume-capacity ratio, traffic light restrictive signal duration, the number of violations of the traffic rules by pedestrians, and maximal queue length of vehicles. The model of the change of the number of violations of the rules of crossing the roadway by pedestrians depending on the volume-capacity ratio of different intersection types is developed in this paper. The model of determining the maximal vehicular queue length before intersections depending on the volume-capacity ratio and the share of the restrictive signal on the lane in the control cycle is developed. Recommendations about the choice of rational regimes of traffic light control depending on traffic delay, planning parameters of the road network, and pedestrian behavior are proposed.
PL
Artykuł prezentuje problematykę sterowania ruchem pojazdów w obrębie jednego skrzyżowania z zastosowaniem metod klasycznych, tradycyjnych i algorytmów genetycznych połączonych z klasyfikatorem rozmytym. Autorzy wykonując badania wskazali, że operatory genetyczne z klasyfikatorem rozmytym pozwalają o około 13% sprawniej sterować sygnalizacją świetlną niż metody klasyczne i o około 33% lepiej niż metody tradycyjne. Metody klasyczne zostały zdefiniowane jako modele bazujące tylko na czujnikach ruchu i na zasadzie kolejki fifo, a metoda tradycyjna to standardowe stałe cykle świetlne.
EN
The article presents issues of the traffic guidance within one intersection with the application of classical and traditional methods along with genetic algorithms connected with the fuzzy classifier. Results presented by the authors show that genetic operators with the fuzzy classifier allow to control the traffic lights about 13% more efficiently than classic methods and about about 33% better than traditional methods. Classic methods were defined as models based only on movement sensors and on the principle of the FIFO queues, a traditional method is a standard permanent light cycles.
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