Intelligent design and implementation of blockchain and Internet of things–based traffic system

Author:

Ren Qilei1,Man Ka Lok2ORCID,Li Muqing3,Gao Bingjie1,Ma Jieming2

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

Publisher

SAGE Publications

Subject

Computer Networks and Communications,General Engineering

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