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作者机构:Izmir Democracy UniversityFaculty of EngineeringDepartment of Civil Engineering35140IzmirTürkiye Gebze Technical UniversityInstitution of Transportation Technologies41400 GebzeKocaeliTürkiye
出 版 物:《International Journal of Transportation Science and Technology》 (交通科学与技术(英文))
年 卷 期:2024年第13卷第1期
页 面:213-228页
核心收录:
学科分类:0809[工学-电子科学与技术(可授工学、理学学位)] 08[工学]
主 题:Signalized intersection Average vehicle delay Average number of stops Differential evolution algorithm Optimization
摘 要:Signal timings at signalized intersections are frequently optimized by considering com monlyusedvehicle delay *** is generally believed that reducing the average number of stops can also decrease the average vehicle ***,the aim of this research is to address the question:“Can similar performance outcomes be achieved through the Minimization of Average Vehicle Delay(MAVD)and the Minimization of Average Number of Stops(MANS)?The first phase of the study entails the creation of two distinct signal timing optimization models based on the Akcelik average vehicle delay and average number of stops ***,scripts were developed in MATLAB to identify the optimal signal timings for both approaches utilizing the Differential Evolution *** the third phase,30 traffic scenarios were generated,each varying in overall traffic vol umes at the ***,the signal timings derived from the MAVD and MANSapproaches were applied independently to these scenarios,and performance indica tors(average vehicle delay and average number of stops)were *** results reveal that the utilization of MANS-based signal timings instead of MAVD may lead to an increase in average vehicle delays of up to 113.55%.Additionally,it is demonstrated that when MAVD-based signal timings are applied instead of MANS,the average number of stops can increase by up to 16.28%.Finally,it is concluded that as the overall traffic volume at the intersection increases,these growth rates tend to decrease.