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

D. Pham, Bao Hoang, S. N. Thành, H. Nguyen, V. Duong
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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.
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基于多种交通方式的GPS数据构建发展中国家城市交通网络智能交通系统
由于越南等最近发展中国家的人口和经济增长,交通活动不断增加,迫切需要交通管理问题。因此,收集交通数据的复杂性以及通过控制中心进行的交通协调是指数级的。如今,智能交通系统(ITS)成为处理这些复杂性的解决方案。发达国家已经以不同的形式审议了技术间系统。但是,由于开发、实施和维护这些系统的费用高昂,大多数发展中国家很少使用这些系统。我们感兴趣的是为发展中国家的拥挤城市设计一种自适应智能交通系统,在这些城市中,非车道交通是核心。我们为两个主要目标开发了一个框架:1)通过我们的移动应用程序从各种来源收集和处理交通数据,如汽车、公共汽车、出租车、摩托车等上的摄像头、传感器、GPS或个人用户;2)在交通研究中采用几种算法来调节交通并通过控制中心通知用户。在当地政府的支持下,我们的智能交通系统首先部署在越南胡志明市。
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