Affiliation:
1. Shanghai Cunjian Technology Co. Ltd., Shanghai, China
2. AI University Research Centre (AI-URC), Research Institute of Big Data Analytics (RIBDA), and Department of Computer Science and Software Engineering, Xi’an Jiaotong-Liverpool University, Suzhou, China
3. AXA Next Lab Asia, Shanghai, China
Abstract
With the continuous development of Internet of things, all kinds of smart systems are quickly evolving to make our day-to-day life smoother and safer. Like many other sectors, transportation has entered a period of rapid change. Intelligent Traffic System is one of the fastest-growing fields within the smart systems, which is expected to increase road safety, mitigate traffic congestion, and enable fuel efficiency. The main functionalities of Intelligent Traffic System are as follows: (1) monitoring real-time traffic conditions in specific areas, (2) locating traffic emergencies (i.e. traffic accidents) in specific areas, and (3) dynamic monitoring and managing the continuous use in public transit services (i.e. change in car lanes) that may lead to changes in macro traffic conditions. This article will use the above-mentioned functionalities of the Intelligent Traffic System as underlying simulative scenarios, to design and to implement a smart transportation system based on Internet of things and blockchain—both share inherent distributed technology characteristics—combining both Internet of things sensor nodes and distributed ledger technology, to (1) record the changes in intelligent transportation systems and (2) set up a credit-token mechanism for paying the use and misuses in public transit services accordingly. The Intelligent Traffic System described in this article is intended to be used as experimental project only, given the terms and conditions as depicted in the simulated scenario. In real-life traffic scenarios, it may generate more complex system and data security issues, which will be elaborated and analyzed at the end of this article. Intelligent Traffic System is a comprehensive smart system; it can significantly change and reinvent the wheel for traffic conditions. Based on the system development as discussed in this article, there are still a lot of demands and challenges that need to be addressed in the future. Such topic scope will be explored in depth in our subsequent research.
Funder
RIBDA
AI-URC
XJTLU Key Programme Special Fund
Xi’an Jiaotong-Liverpool University
national natural science foundation of china
natural science foundation of jiangsu province
Suzhou Science and Technology Project-Key Industrial Technology Innovation
Cernet Network Next Generation Internet Technology Innovation Project
Young-aged Cadre Teacher of Jiangsu Province Qinglan talent program
Subject
Computer Networks and Communications,General Engineering
Cited by
18 articles.
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