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Design and Implementation of Human Mobility Embedded System for Urban Planning of Smart City

Topics: Case Studies, Business Models and Innovative Applications for Smart(er) Cities; e-Mobility and Smart Transport; Green Computing Models, Methodologies and Paradigms; Green Data Centers; Human Smart Cities; Intelligent Transport Systems and Traffic Management; Urban Monitoring and Optimization; Wireless Systems and Networks

Author: Anwar Al-Khateeb

Affiliation: Politecnico di Milano, Italy

ISBN: 978-989-758-241-7

Keyword(s): Human Mobility, Smart City, Urban Planning, Embedded System, Optimization.

Related Ontology Subjects/Areas/Topics: Energy and Economy ; Green Computing Models, Methodologies and Paradigms ; Green Data Centers ; Intelligent Transport Systems and Traffic Management ; Smart Cities ; Sustainable Computing and Communications

Abstract: The mobility model will help us to simulate the movements of people more realistic as in real case. This paper developed human mobility system using random way point and random walk methods to model the individual movement of person in different places within area of Baghdad, Iraq. There are a lot of types of mobility model but we use Random Way Point (RWP) because it is simple, most common use and needs less memory and time for computation. The geographical information and maps of the cities are used to tell the person about the constraints and correct the direction of motion in different areas to generate more accurate data. Tested areas are quite different in style, structure, social, history and culture. The most similar thing between them is that they are both in continuously changing which is the one of biggest difficulties in designing the city. Al-Sadar city is one of biggest population city in Baghdad, Iraq. It has three millions people population. We choose 5000 users moves from Al-Sadar city to two different places in Baghdad: Al-Khadmia and Al-Zawra. Al-Khadmiia is old and religion place and Al-Zawra is biggest public garden in Baghdad. In our work, we find the best ways that connect Al-Sadar city with both places. We decide the best ways depending on distances and traffic between them. It gives good method to build smart transportation and smart city using mobility and traffic models. .This paper will help urban decision maker to suggest the analytical model for urban space and have a clear picture about the city: how can it change, how do the people move in the city, what are the problems and how can solve them to generate smart city. (More)

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Paper citation in several formats:
Al-Khateeb, A. (2017). Design and Implementation of Human Mobility Embedded System for Urban Planning of Smart City.In Proceedings of the 6th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS, ISBN 978-989-758-241-7, pages 337-345. DOI: 10.5220/0006374103370345

@conference{smartgreens17,
author={Anwar Al{-}Khateeb.},
title={Design and Implementation of Human Mobility Embedded System for Urban Planning of Smart City},
booktitle={Proceedings of the 6th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS,},
year={2017},
pages={337-345},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006374103370345},
isbn={978-989-758-241-7},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS,
TI - Design and Implementation of Human Mobility Embedded System for Urban Planning of Smart City
SN - 978-989-758-241-7
AU - Al-Khateeb, A.
PY - 2017
SP - 337
EP - 345
DO - 10.5220/0006374103370345

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