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MOVICI-MOYCOT 2018: Joint Conference for Urban Mobility in the Smarty City
April 18-20, 2018
Hotel Inntu (Transv. 39 N°74B-10), 2do parque de Laureles - Medellín, Colombia
Achieving a sustainable mobility is considered one of the most important challenges to be solved by humanity. In recent years, new challenges around recent developments in the field of transportation have evolved.
Digitalization has brought new concepts and actors into the mobility sector; non-motorized transport has risen in many cities, whilst urbanization tendencies have increased the overall pressure on cities’ mobility systems. Furthermore, challenges that exist since a long time, such as congestion or high emissions, have not yet been solved.
In this regard, the joint conference MOVICI – MOYCOT will focus on showing advancements in related topics that contribute to this propose. This joint conference will bring together academic experts, practitioners and decision makers to discuss the challenges of the Building the City of Tomorrow.
Workshop "Optimization Models for City Logistics" (WOMCL)
Submissions site is open. Go to the CFP of this workshop
Julian Andres Zapata Cortés , Ph.D. – Institución Universitaria CEIPA
Martín Dario Arango Serna, Ph.D. – Universidad Nacional de Colombia, Sede Medellín
Conrado Augusto Serna, Ph.D. - Universidad de San Buenaventura, Seccional Medellín
Workshop "Technologies and Developments in Electric Mobility Systems" (WTDSME)
Submissions site is open. Go to the CFP of this workshop. This workshop is organized by Universidad EAFIT.
Ph.D. Ricardo Mejía-Gutiérrez
Ph.D. Gilberto Osorio-Gómez
Ph.D. Alejandro Montoya
M.Sc. Alejandro Velásquez-López
Ph.D. (Cand.) Esteban Betancur-Valencia
M.Sc. Mauricio Fernández-Montoya
M.Sc. David Esteban González-correa
Workshop "Meteorology, Traffic and Urban Air Quality" (WMTUAQ2018)
Submissions site is open. Go to the CFP of this workshop.
César Augusto Gómez Pérez, PhD - Universidad Nacional de Colombia
José Fernando Jiménez Mejia, PhD - Universidad Nacional de Colombia
Prof. Sergio Velastín, Ph.D., M.Sc.
The Potential of Video Analysis to improve Urban Traffic
The world is inexorably becoming more and more urbanised as cities (and in some cases mega cities) act as attractors to people searching for what they imagine is a better quality of life (not always fulfilled). This net migration to the cities has been especially marked in emerging economies such as China, India, South East Asia and Latin America. As per more established cities in the world, emerging cities see new challenges associated with expectations of mobility, social inclusion and environmental quality that, on the one hand, are difficult to fulfil with limited resources and short-term neo-liberal economic models while, on the other hand, having less legacy infrastructure presents opportunities to innovate technically and socially that “older” economies might find more difficult to deploy. An important aspect of what we might call a “smart city” is “smart transport”, understood as a seamless combination of multiple and flexible means (from the private to the public) means of mobility. For environmental reasons, single car occupancy needs to be discouraged while making options such as public transport, cycling, motorbikes and walking more attractive and safer. A key enabler to improve safety and traffic flow is to sense what is happening on urban roads. Traditional methods such as inductive loops are cumbersome to install and maintain and do not provide the necessary information especially in the type of cluttered traffic typical of emerging economies, involving cheaper means of transport such as motorbikes. In such cases, video analysis is regarded as a promising and cost-effective technology to monitor complex patterns of traffic behaviour. The technology is relatively mature for highways where traffic is relatively structured and predictable, but there remains important challenges when dealing with busy urban traffic especially in countries where driver behaviour is erratic, not easy to predict and somewhat aggressive. Unfortunately, in such environments the most vulnerable road users (pedestrians, cyclist, motorcyclists) are the ones that make up the larger number of fatalities and injuries, discouraging potential users of such modes of transport. In this talk we will illustrate some video analysis techniques to detect many types of road users in urban environments and to obtain measures of traffic flow parameters that can be used by traffic engineers for a more efficient management of roads. We will present techniques to localise moving objects using data from conventional CCTV cameras and the use of machine learning to train systems to recognise particular class of vehicles (such as motorbikes). We expect to present illustrative results using methods developed in our labs as well as through the use of advanced commercial systems.
• Jairo Espinosa, Universidad Nacional de Colombia (UNAL)
• Christian Portilla, Universidad Nacional de Colombia (UNAL)
• Andres Felipe Acosta Gil, Universidad Nacional de Colombia (UNAL)
• Dirk Heinrichs, German Aerospace Center (DLR)
• Mirko Goletz, German Aerospace Center (DLR)
• Daniel Fernando Escobar Castilla, German Aerospace Center (DLR)
• Katharina Karnahl, German Aerospace Center (DLR)
• Mathias Höhne, German Aerospace Center (DLR)
This Scientific Conference is organized by the German Aerospace Center (DLR) in conjunction with the Universidad Nacional de Colombia - Sede Medellín