کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
7534794 1488268 2017 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A Fuzzy set-based method to identify the car position in a road lane at intersections by smartphone GPS data
موضوعات مرتبط
علوم انسانی و اجتماعی علوم اجتماعی تحقیقات ایمنی
پیش نمایش صفحه اول مقاله
A Fuzzy set-based method to identify the car position in a road lane at intersections by smartphone GPS data
چکیده انگلیسی
Intelligent transportation systems (ITS) work by collections of data in real time. Average speed, travel time and delay at intersections are some of the most important measures, often used for monitoring the performance of transportation systems, and useful for system management and planning. In urban transportation planning, intersections are usually considered critical points, acting as bottlenecks and clog points for urban traffic. Thus, detecting the travel time at intersections in different turning directions is an activity useful to improve the urban transport efficiency. Smartphones represent a low-cost technology, with which is possible to obtain information about traffic state. However, smartphone GPS data suffer for low precision, mainly in urban areas. In this paper, we present a fuzzy set-based method for car positioning identification within road lanes near intersections using GPS data coming from smartphones. We have introduced the fuzzy sets to take into account uncertainty embedded in GPS data when trying to identify the position of cars within the road lanes. Moreover, we introduced a Genetic Algorithm to calibrate the fuzzy parameters in order to obtain a novel supervised clustering technique. We applied the proposed method to one intersection in the urban road network of Bari (Italy). First results reveal the effectiveness of the proposed methodology when comparing the outcomes of the proposed method with two well-known clustering techniques (Fuzzy C-means, K-means).
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Transportation Research Procedia - Volume 27, 2017, Pages 444-451
نویسندگان
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