Paper Info
Title
An Integrated Processing Platform for Traffic Sensor Data and Its Applications in Intelligent Transportation Systems
Abstract
With the continuous expansion of the scope of traffic sensor networks, traffic sensor data becomes widely available and large in amount. Traffic sensor data gathered by large amounts of sensors shows the massive, continuous, streaming and spatio-temporal characteristics compared to traditional traffic data. In order to satisfy the requirements of different applications in Intelligent Transportation Systems (ITS), we need to have the capability of real-time processing over both streaming and historical traffic sensor data. In this paper, we present DeCloud4SD, an integrated processing platform for traffic sensor data, which is designed to provide services for receiving, storing, acquiring and computing traffic sensor data in a scalable architecture with real-time guarantee. Three types of applications using DeCloud4SD in a real ITS project are also described in detail. Through the analysis of these applications, we can see that DeCloud4SD can ensure: 1) scalable and customizable traffic sensor data gathering and computing, 2) rapid application development and deployment using a MapReduce-like model, 3) seamless integration with existing relational data sources and applications.
Year
DOI
Venue
2014
10.1109/SERVICES.2014.38
SERVICES
Keywords
Field
DocType
scalable customizable traffic sensor data gathering,relational databases,streaming data,real-time historical traffic sensor data processing,traffic engineering computing,integrated processing platform,seamless integration,its project,mapreduce-like model,scalable customizable traffic sensor data computing,data acquisition,traffic sensor data storage,relational data sources,traffic sensor data receiving,scalable architecture,traffic sensor data,traffic sensor data, streaming data, historical data, real-time processing, intelligent transportation system,sensors,cloud computing,traffic sensor networks,intelligent transportation systems,intelligent transportation system,real-time processing,decloud4sd,spatiotemporal characteristics,historical data,real-time streaming data processing,traffic sensor data acquisition
Traffic generation model,Advanced Traffic Management System,Computer science,Intelligent sensor,Visual sensor network,Floating car data,Real-time computing,Intelligent transportation system,Wireless sensor network,Database,Scalability
Conference
ISSN
Citations 
PageRank 
2378-3818
4
0.48
References 
Authors
14
4
Name
Order
Citations
PageRank
Zhuofeng Zhao16615.46
Jun Fang2193.26
Weilong Ding32810.14
Jianwu Wang421526.72