Affiliation:
1. TRAKYA UNIVERSITY
2. Süleyman Demirel Üniversitesi
Abstract
In this study, a sample has been carried out in order to discharge the current vehicle flow in minimum time at the intersection. The sample has been carried out at an isolated and lossless four-legged intersection. An ideal traffic signaling algorithm have been presented by simultaneously calculating the minimum total intersection delay at this intersection. The suggested algorithm that is actuated method have been compared with classical and different actuated methods. It has been observed that the presented algorithm reduces the intersection delay by 65 % compared to the classical method and 51 % compared to some actuated methods.
Publisher
International Journal of Engineering and Innovative Research
Reference29 articles.
1. [1] Cai, M., Yin, Y., Xie, M., (2009). Prediction of hourly air pollutant concentrations near urban arterials using artificial neural network approach. Transportation Research Part D: Transport Environment, 14, pp. 32-41.
2. [2] Sharma, A. R., Kharol, S. K., Badarinath, K., (2010). Influence of vehicular traffic on urban air quality–A case study of Hyderabad, India. Transportation Research Part D: Transport Environment, 15, pp. 154-159.
3. [3] Akanbi, L., Olajubu, E., (2012). A fuzzy-based intelligent traffic control system for managing VIP-induced chaos at road intersections. African Journal of Computing ICT, 5, pp. 109-119.
4. [4] Nuzzolo, A., Comi, A., (2016). Advanced public transport and intelligent transport systems: new modelling challenges. Transportmetrica A: Transport Science, 12, pp. 674-699.
5. [5] Ding, J., Zhang, Y., Li, L., (2018). Accessibility measure of bus transit networks. IET Intelligent Transport Systems, 12, pp. 682-688.