The Internet of Things (IOT) is a network of smart devices embedded with electronics, software, sensors and network connectivity which enables these devices to collect and exchange data [1]. The IOT is an innovation of exchanging data with smart devices without any human interaction. Worldwide system for mobile communication (GSMA) an- ticipated that by 2020 more than 24 billion devices will be connected to each other which will yield a benefit of 1.2 trillion USD for communication companies [2]. It will impact many application domains, from agriculture to industries, finance, energy and transportation [3]. Immense inflation in urbanization and population did not only bring us many conveniences but also increased traffic congestion to the brink of despair.
This Traffic Congestion has also caused severe reduction in the efficiency of the Transport Infrastructure around the globe. Moreover, the traffic congestion has disastrous impact on economy, environment and society [4]. It also has tremen- dous impact on the increased travel time, fuel consumption, high cost and air pollution. With the increase in the traffic congestion throughout the world, advanced traffic control system for buses and trains or for a combination of these is extremely needed. A lot of research has been done to analyze or improve any one or few aspects of a traffic system (at one time).
The Bucharest Traffic Management System (BTMS), in Bucharest, Romania implemented a ITS system in 2014. They compared the data collected from the implemented ITS in 2014 and its test project in 2009 which showed significant fuel savings and pollution reduction. But even in this study, not every aspect of ITS was considered like re-routing the traffic dynamically in case of congestion [5]. In another ITS research, an analysis on only the reliability of communication channels was carried out by considering redundant architecture and periodic tests for resilience. The resilience of communication channels could be increased by using duplicate telecommunication equipment. But even in this study, the architecture of ITS was not discussed [6].
In Russia, another research only focused on improving the urban transport system efficiency and logistic processes by introducing water passenger transport i.e. water taxi or Primorskaya Line [7]. In Russia, building a Multimodal Intelligent Transportation System (MITS) 3.0 was proposed. But there were few creation and development problems e.g. intellectual transport infrastructures, cognitive transport security systems and smart transport logistics [8].
The only common problem with these researches are that there was no research or explanation on complete architec- ture and design of an Intelligent Transport System (ITS). There is a need of such an ITS which can not only reduce congestion but can also increase efficiency. Such an ITS should also be able to have good impact of any country’s economy. The goal of this research is to aid developing coun- tries in creating a successful and efficient intelligent transport system in their country. This research demonstrates a complete and in detail ITS architecture which could prove useful for developing countries. Another purpose of this research is to use Ubiquitous Computing and demonstrate a complete architecture of an ITS which can not only increase efficiency and resilience but also decrease congestion.
The next article explains the basics of Ubiquitous Architecture and Smart DEI model of ITS. The IEEE paper of this research further demonstrates working model of various features of ITS. These features are: use of automated positioning technology, to find route of vehicles, to find travel time for designated pick up points, to show transport arrival routes/current lo- cation on mobile phones, to anticipate schedule change and re-route and re-schedule dynamically, to provide information about the capacity of the transport system, to find solution to the problem of transport service render versus schedule delay, to integrate road tube and train maps, to automatically detect buses, to do automatic tagging of locations and to increase the system capacity.
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