کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
382782 660790 2015 18 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Enhancing driver situational awareness through crowd intelligence
ترجمه فارسی عنوان
افزایش آگاهی وضعیت راننده از طریق اطلاعات جمعیت
کلمات کلیدی
سیستم های حمل و نقل هوشمند جمع آوری منابع اطلاعات ترافیکی، سنجش مشارکتی، اطلاعات جغرافیایی داوطلب، ناوبری وسایل نقلیه همکار
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی


• Introducing novel accelerometer based traffic events detection approach.
• Implementation of traffic events detection service for constrained mobile devices.
• Performance comparison to accelerometer based physical activity algorithms included.
• Crowd-sourcing Intelligent Transport System for redistributing traffic information.
• Simulation results demonstrate high scalability and low power consumption.

Providing up-to-date and reliable dynamic traffic information has become a major challenge in Intelligent Transportation Systems (ITS). Current traffic information services employ participatory sensing and crowd sourcing techniques to provide dynamic traffic information consisting of estimated travel times and congestion warnings. In this paper we propose the crowd sensing system based on smartphones and integrated GPS and accelerometer sensors, to capture dynamic, short-lasting traffic events and drivers’ aggressive and risky behavior like excessive breaking, sudden lane change, open turns, speed excess and route deviations. These traffic events can be categorized as risky driving situations or near accidents and are typically not included in any official traffic statistics. The system uses crowd intelligence based on participatory sensing paradigm and collaborative mechanisms to detect important traffic events/situations. It provides proactive notification and recommendations to drivers in the vicinity of, or on the route to reported events. The proposed crowd sensing system ensures information reliability through space–time clustering of reported events/situations while preserving drivers’ privacy. We perform the evaluation of our system that demonstrates the effectiveness and usefulness of advanced navigation service based on it, that uses collected dynamic traffic events to provide warning and notifications to drivers and safest route navigation. This novel functionality of a navigation service enhances drivers’ situational awareness, increasing safety and effectiveness of the traffic.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 42, Issue 11, 1 July 2015, Pages 4892–4909
نویسندگان
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