Home > 2018 Conference

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

Visit the conference's EASY CHAIR page

Go to the Paper's Submission

Participation costs



Regular fee


Early payment fee

2 weeks before the event (5% discount)


Students fee for universities other than UNAL (20% discount)


Students fee for UNAL students

(40% discount)


Discount for groups of three or more people of the same company (15% discount)















each person

all in USD

How to register and pay?

Look for the section "SERVICIOS DE EXTENSIÓN" and its subsection "CONGRESOS, SEMINARIOS Y EVENTOS".


There you can find the two options "Fac. Minas - Joint Conference Movici-Moycot - COP" and "Fac. Minas - Joint Conference Movici-Moycot - USD" pick the second one (to pay in USD).

Fill out the form with your information and proceed to the payment.

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.

Submission Guidelines


All papers must be original and not simultaneously submitted to another journal or conference. In this context, we are looking for high-quality submissions for Joint Conference MOVICI-MOYCOT 2018 which is organized by Universidad Nacional de Colombia and German Aerospace Centre (DLR).


The official language of the conference is English but articles in Spanish are also welcome. Article abstracts should be submitted through the easychair platform no later than October 30th 2017 and should have a maximum length of 500 words. Articles should be submitted through the easychair platform no later than December 22th 2017 and should have a maximum length of 7000 words. Articles should include contact information of the author(s) and specify the topic where it should be categorized. Full papers must be submitted in pdf, using the IEEE conference template in either Word or Latex.


Abstract and article submissions must be done through the easychair platform by first creating an account in the signup page:


After that, submit your article in the submissions site. All papers will be peer-reviewed by an international scientific committee:


Authors are invited to contribute with technical papers related (but not limited) to the following topics:

List of Topics:


1. Traffic modelling  & simulation

Demand modelling

Emissions models

Multimodal and intermodal traffic models

Multi-scale traffic modelling

Public transportation

Case studies

Microsimulation (SUMO and others software)

Calibration of scenario

Large scale simulations


2. Traffic management & ITS

Traffic light control

Coordinate traffic control

Road safety

Traffic sensors


Logistics solutions

Artificial intelligence

Advanced algorithms

Machine learning

Advanced driving assistant systems (ADAS)

Smart signals

Vehicular communications

Image processing of Traffic


3. Mobility & users

Travel behavior and Mobility-as-a-Service & Ride-selling

Sharing: Possibilities and impact

Active mobility (Walking and Cycling)


Intermodality  and integrating modes


4. Data and Methods

Crowd Sourcing

Big data and data fusion

New ways for data collection (GPS tracking, Smartphones, Apps, )

New mobility prospects for cities


Remote Sensing

Machine learning


5. Mobility and Smart cities


Built environment


Mobility as a Service

Electric Mobility

Smart Pricing

Urban Planning


6. Governance

Digitalisation: Challenges from Blockchain-Technologies

New Business Models (Uber, Rappi, ZipCar, ...)



Policies and Measures



7. Urban Freight / Freight and Logistics

Changing consumption patterns (e-commerce)

New technologies in Urban Freight (cargo bikes)

City logistics (micro-consolidation)


Special Sessions


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




Invited Speakers


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

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