Intelligent Total Transportation Management System for Future Smart Cities

Dinh Dung Nguyen,Dániel Rohács,Anita Boros,József Rohács

doi:10.3390/app10248933

Abstract

Smart mobility and transportation, in general, are significant elements of smart cities, which account for more than 25% of the total energy consumption related to smart cities. Smart transportation has seven essential sections: leisure, private, public, business, freight, product distribution, and special transport. From the management point of view, transportation can be classified as passive or non-cooperating, semi-active or simple cooperating, active or cooperating, contract-based, and priority transportation. This approach can be applied to public transport and even to passengers of public transport. The transportation system can be widely observed, analyzed, and managed using an extensive distribution network of sensors and actuators integrated into an Internet of Things (IoT) system. The paper briefly discusses the benefits that the IoT can offer for smart city transportation management. It deals with the use of a hierarchical approach to total transportation management, namely, defines the concept, methodology, and required sub-model developments, which describes the total system optimization problems; gives the possible system and methodology of the total transportation management; and demonstrates the required sub-model developments by examples of car-following models, formation motion, obstacle avoidances, and the total management system implementation. It also introduces a preliminary evaluation of the proposed concept relative to the existing systems.

Highlights

In December 1959, Richard Feynman offered a prize of $1000 to the first person to make a motor l/64th of an inch cubed, and to the first person to produce written text at 1/25,000 scale [1]
The implementation of the described approach to smart, intelligent total transportation management requires the integration of a large number of distributed Internet of Things (IoT) devices in one system and the development, as well as usage, of a series of sub-models and new data processing methods
This study presents an intelligent total transportation management system for future smart cities

Summary

Introduction

In December 1959, Richard Feynman (received a Nobel Prize in 1965 for his contribution in the development of quantum electrodynamics) offered a prize of $1000 to the first person to make a motor l/64th of an inch cubed, and to the first person to produce written text at 1/25,000 scale [1]. 60 years ago, California Institute of Technology graduate William McLellan designed a motor only. The second prize was won by Tomas Newman, a Stanford graduate student, who used electron-beam lithography in 1985. The development of the computer accelerated, microchips’ capacity increased while their price was cut, and personal computers were designed. In 1975, the first personal computers, MITS Altair 8800, were sold as kits [2]. In 1976, the Apple I and, a year later, Apple II, the first color computer, were created

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