NDLI: A Constructive Intelligent Transportation System for Urban Traffic Network in Developing Countries via GPS Data from Multiple Transportation Modes

Content Provider	IEEE Xplore Digital Library
Author	Duc-Thinh Pham Bao An Mai Hoang Son Nguyen Thanh Ha Nguyen Vu Duong
Copyright Year	2015
Abstract	Due to demographic and economic growth in recent developing countries such as Viet Nam, traffic activities increase continuously and the problem of traffic management is urgently required. Consequently, the complexity of collecting traffic data as well as the traffic coordination carried over a control center are exponential. An Intelligent Transportation System (ITS) nowadays becomes a solution for handling those complexities. ITSs were already considered in developed countries under different formations. However, they are rarely used in most developing countries because of the cost of developing, implementing and maintaining those systems. We are interested by the design of an adaptive ITS for crowded cities in developing countries where non-lane-based traffic is core. We develop a framework for two main goals: 1) Collecting and processing traffic data from various types of sources such as cameras, sensors, GPS on cars, buses, taxis, motorcycles, etc. or individual users via our Mobile Application, 2) Adapting several algorithms in transportation research to regulate the traffic and inform users via a control center. Our ITS is firstly deployed to Ho Chi Minh city in Viet Nam under the support of local authority.
Starting Page	1729
Ending Page	1734
File Size	748476
Page Count	6
File Format	PDF
ISSN	21530017
e-ISBN	9781467365963
DOI	10.1109/ITSC.2015.281
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-09-15
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Global Positioning System Motorcycles Algorithm design and analysis Cities and towns Roads Data collection
Content Type	Text
Resource Type	Article

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