Fruitful Synergy Model of Artificial Intelligence and Internet of Thing for Smart Transportation System

Fruitful Synergy Model of Artificial Intelligence and Internet of Thing for Smart Transportation System

Vikram Puri (Duy Tan University, Da Nang, Viet Nam), Chung Van Le (Duy Tan University, Da Nang, Viet Nam), Raghvendra Kumar (Department of Computer Science, GIET University, Gunupur, India) and Sandeep Singh Jagdev (Ellen Technology(P) Ltd., Coimbatore, India)
DOI: 10.4018/IJHIoT.2020010104


In urban transportation systems, bicycle sharing systems are majorly deployed in major cities of both developed and developing countries. The recent boom of bicycle sharing system along with its upgraded technology have opened new opportunities towards urban transportation system. With the enlargement of intelligent transportation systems (ITS's), smart bicycle sharing schemes are more popular to smart cities as a green transportation mode. In this article, the Internet of Things (IoT) and artificial intelligence-based monitoring devices have been proposed for the bicycles. This system contains a harmful exhaust gas sensor, wireless module, and a GPS receiver and camera that are capable to send data with time and date stamping. In addition, sensor also integrated on the bicycle for the fall detection. An artificial neural network (ANN) and support vector machine (SVM) applied to the data collected at central server is designed to analyze the root mean square error (RMSE), and coefficient of correlation (R2). Result shows that ANN performance is better when compared to SVM.
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1. Introduction

The consumption of natural resources is rapidly increasing as compared to their replenishment according to the report of Global Footprint Network (Global Footprint Report, 2019). If usage increases, as usual, the need for replenishing will be also amplified to the equivalent of the 3/4th part of the earth by 2050 (UN Fuel Consumption, 2019). Sharing Economy (Winslow & Mont 2019) is the preeminent way to prevail from global financial crises, the wrong way widening social inequalities leading to unsustainable mass consumption on a social and cultural basis. Sharing Economy is a key to unlock the opportunities for the public, entrepreneurs, researchers and last but not the least, government that influences sharing economy to reshape its potential and capacity to deliver promises. In 1978, Marcus and Joel introduced the concept of Sharing Economy as “collaborative consumption (Felson & Spaeth, 1978)”, a vision of mutual consumption of fuel, or goods. Bicycle sharing schemes (BSS) work as a power booster for the sharing economy and also increases the approachability of the public transportation system. The paramount (Shaheen et al., 2010) approach behind the BSS is “anyone can use the bicycle according to their need without setting up any mutual cost and permission from the manufacturer or owner.” BSS (Midgley 2009l O’Brien et al., 2014) helps to eliminate the usage of fuel-gas based transportation and also mutual integration with public transportation services. Moreover, it is also a boon to attenuate traffic congestions as well as depletion of exhaust gases such as carbon monoxide that’s lead to setup relation with environmental protection and conservation of energy (Peng et al., 2019). The contemporary generation of BSS has been fully integrated with high-level features (Altaf, 2017) namely autonomous transactions, a global positioning system (GPS), app-controlled registration services as well as multi-modal mutual data access. As compared to the traditional BSS, the boon of the new generation is omnipresence. Omnipresence means that users can use BSS at any time, anywhere with the full facilities in the presence of a covered mobile network. However, BSS has its bane such as hacked private information, driving safety measures, as a condition of the bike. These banes can put a negative impact on the user toward the adoption of BSS.

The Internet of Things (IoT) is a rapidly growing concept that is being transpired with the amalgamation of innumerate smart objects and things (Al-Fuqaha et al., 2015). IoT and artificial intelligence (AI) (Piramuthu & Zhou 2016) have become the most trending technologies in almost every research area of the modern industry from smart homes to connected vehicles. IoT and AI are the keys to unlock the potential of BSS and transform BSS toward a new futuristic research platform.

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