کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4962710 1446654 2017 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A collaborative calculation on real-time stream in smart cities
ترجمه فارسی عنوان
محاسبه مشارکتی در جریان واقعی در شهرهای هوشمند
کلمات کلیدی
محاسبه همکاری، داده های زمان واقعی داده های تاریخی، شهرهای هوشمند، داده های شناخته شده وسایل نقلیه،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر علوم کامپیوتر (عمومی)
چکیده انگلیسی
In the smart cities, the travel-time is a typical business calculation to monitor and control the traffic congestions. But it still faces challenges on real-time stream due to the limitation of latency and accuracy. In this paper, we propose a collaborative approach for travel-time calculation on stream of recognized data of vehicles. Compared with other types of sensory data in urban roads, the recognized data of vehicles has wider coverage, finer interval and more exact locality. Our approach continuously achieves both factual and predictive values, and consists of two-step spatio-temporal parallelism on real-time data and Bayes prior rules mining on historical data. It can be analyzed theoretically for its low latency with high accuracy, and has been implemented on Apache Storm correlated with Hadoop MapReduce. Through exhaustive experiments on simulated and real data, our approach holds millisecond-level latencies steadily on high speed stream with nearly linear scalability, and keeps the accuracy above 80% for prediction.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Simulation Modelling Practice and Theory - Volume 73, April 2017, Pages 72-82
نویسندگان
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