D. Pham, Bao Hoang, S. N. Thành, H. Nguyen, V. Duong
{"title":"A Constructive Intelligent Transportation System for Urban Traffic Network in Developing Countries via GPS Data from Multiple Transportation Modes","authors":"D. Pham, Bao Hoang, S. N. Thành, H. Nguyen, V. Duong","doi":"10.1109/ITSC.2015.281","DOIUrl":null,"url":null,"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.","PeriodicalId":124818,"journal":{"name":"2015 IEEE 18th International Conference on Intelligent Transportation Systems","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE 18th International Conference on Intelligent Transportation Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITSC.2015.281","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12
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.