Enabling Technology for Smart City Transportation in Developing Countries

Traffic in the major cities of developing countries such as the Hanoi and Ho Chi Minh cities is chaotic because multiple transport modes such as cars, buses, motorbikes, and bicycles share the same road lanes together with narrow road infrastructure. In addition, traffic is poorly managed due to lack of efficient traffic-management system. These problems have accumulated with the increase in mobility demand because of rising urban population. The objectives of this study are to propose a solution to mitigate traffic-congestion problem, to provide better driving and commuting experience to commuters, and to assist in the implementation of efficient transportation-management system in the Hanoi city. This paper presents data-monitoring and analysis tools to enable smart mobility capability; adaptive traffic signaling that is the scheduling of traffic light timing based on road capacity and congestion indicator. We propose three congestion indicators: stop count, velocity, and travel-time variation, which represent the state of congestion at individual road segment.