Big Data Application: Selection of Sites of INRIX Probe-data Stream for Real-time Performance Monitoringr
Sandeep Singh Rawat1, Anuj Sharma2
1Sandeep Singh Rawat, Department of Computer Science & Engineering, Anurag Group of Institutions, Hyderabad (Telangana), India.
2Anuj Sharma, Department of Civil, Construction, and Environmental Engineering, Iowa State University; Ames, United States of America.
Manuscript received on 18 June 2019 | Revised Manuscript received on 25 June 2019 | Manuscript published on 30 June 2019 | PP: 465-470 | Volume-8 Issue-5, June 2019 | Retrieval Number: E6970068519/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Every year, US transport agencies assess number of people killed and injured on U.S. roads, which witness the enormous increase during the past half-century. With the rapid growth of society, the transportation department is also facing many challenges every day. Challenges include data evaluation, summarize, distributions, capacity, allocation, conception, investigating, modified and security. Nowadays, the Nebraska Department of Roads (NDOR), in collaboration together with the other transport agencies, collects and explores the traffic data at sixty one (61) continuous traffic count sites. The objective of this work is to select the locations based on different criteria of the probe-based data stream compared to fixed sensor data. Based on a significant estimation of the INRIX probe-based data, the study will feature important factors for integrating the probe vehicle stream data into transport related tasks, preparation and supervision actions. This research addresses how big data platform can resolve the questions of traditional traffic management system to identify the traffic anomalies contributory factors, namely miles travelled and confidence score. In future, after collecting real-time TMCs data based on our selected locations, we will assess the reliability and correctness of INRIX probe-based data stream.
Keywords: Big Data, Inrix, Performance, Probe Data
Scope of the Article: Big Data Analytics