Cloud-Based Information Technology Framework for Data Driven Intelligent Transportation Systems

• 作者: Arshdeep Bahga Vijay K. Madisetti
• 来源期刊: 交通科技期刊(英文)
• 学科: 工学
• 关键词: CLOUD COMPUTING VEHICLE ROUTING Supply CHAIN TRACKING Hadoop
• 年，卷（期）: 2013,（2）
• 页码范围: 131-141
• 页数: 11页
• 分类号: TP3

摘要

We present a novel cloud based IT framework, CloudTrack, for data driven intelligent transportation systems. We describe how the proposed framework can be leveraged for real-time fresh food supply tracking and monitoring. CloudTrack allows efficient storage, processing and analysis of real-time location and sensor data collected from fresh food supply vehicles. This paper describes the architecture, design, and implementation of CloudTrack, and how the proposed cloud-based IT framework leverages the parallel computing capability of a computing cloud based on a large-scale distributed batch processing infrastructure. A dynamic vehicle routing approach is adopted where the alerts trigger the generation of new routes. CloudTrack provides the global information of the entire fleet of food supply vehicles and can be used to track and monitor a large number of vehicles in real-time. Our approach leverages the advantages of the IT capabilities of a computing cloud into the operations and supply chain.