Designing and Developing a Model for Detection of Unusual Traffic Condition at Intelligent Signalized Intersection Equipped with SCATS
- سال انتشار: 1403
- محل انتشار: نشریه بین المللی مهندسی حمل و نقل، دوره: 11، شماره: 4
- کد COI اختصاصی: JR_IJTE-11-4_001
- زبان مقاله: انگلیسی
- تعداد مشاهده: 163
نویسندگان
Dept. of Civil Engineering Central Tehran Branch, Islamic Azad University, Tehran, Iran
Dept. of Civil & Environmental Engineering, Tarbiat Modares University, Tehran, Iran
ept. of Civil Engineering Faculty of Imam Khomeyni, Ghazvin, Iran
چکیده
Today, one of the most significant points of interference in streets is the signalized intersections; therefore, solving problems of traffic at intersections can increase the capacity of urban transportation. Inability to diagnose the traffic conditions results in the lack of proper timing, phasing and cycle length, all of which are attributed to the abnormal factors concerning intelligent control systems. In this paper, in addition to the introduction of abnormal traffic conditions at signalized intersections, an attempt has been made to intelligently diagnose anomalies for both an approach and its entire intersection. For this purpose, by making use of the data based on the GPS of users' cell phones extracted from NESHAN Application, which consists of ۱۰-minute average speed in streets ending to an intersection, and by behavioral matching with the data concerning the volume and saturation rate in SCATS, and meantime, by analyzing the fundamental traffic relations, an attempt has been made to diagnose the abnormal traffic conditions through SCATS at Toos-Danesh intersection of Mashhad, in which abnormal conditions including the detecting of heavy traffic conditions when the traffic is light and vice versa. To achieve more accuracy, the method was built based on both quartiles and percentiles of DS, degree of saturation, and ADS, average degree of saturation, in SCATS. Finally, anomaly detection based on the ۱۰th and ۹۰th percentiles had ۱۰۰ percent accuracy and the one based on the ۱st and ۳rd quartiles had between ۵۷ to ۸۰ percent accuracy, which have been checked by two real datasets.کلیدواژه ها
Anomaly, Degree of saturation, Fundamental Traffic relations, SCATS, Signalized Intersectionاطلاعات بیشتر در مورد COI
COI مخفف عبارت CIVILICA Object Identifier به معنی شناسه سیویلیکا برای اسناد است. COI کدی است که مطابق محل انتشار، به مقالات کنفرانسها و ژورنالهای داخل کشور به هنگام نمایه سازی بر روی پایگاه استنادی سیویلیکا اختصاص می یابد.
کد COI به مفهوم کد ملی اسناد نمایه شده در سیویلیکا است و کدی یکتا و ثابت است و به همین دلیل همواره قابلیت استناد و پیگیری دارد.