Email
DNINFOA - SIA
Libraries
Calls
UNAL identity
Research line
Intelligent transportation systems
We apply technology to tackle road crashes and traffic problems in cities.
We tackle urban problems of road crashes, congestion and transit operations using data, computer vision and IoT. We build models to anticipate traffic and crashes, detect fare evasion in mass transit systems, and monitor vehicles with sensors, RFID and video analysis.
Topics
Road crashes9 works
We analyze road crashes using data science, machine learning and spatio-temporal models, integrating mobility information, socioeconomic variables, land use and non-traditional data sources. The goal is to identify patterns, characterize associated factors and develop crash prediction models for urban settings.
Traffic prediction and monitoring7 works
We develop methods for monitoring, measuring and characterizing vehicle traffic, combining computer vision, wireless sensors and data analysis. We work on vehicle detection and classification, traffic volume estimation and tracking of mobility patterns to support transportation system management.
IoT and RFID for vehicle monitoring8 works
We design identification, sensing and communication systems to monitor vehicles and public transit, using RFID, Bluetooth, IoT and embedded devices. This work includes smart readers, vehicle tracking platforms, positioning systems and communication analysis, integrating data acquisition, connectivity and processing for ITS applications.
Mass transit operations and fare evasion5 works
We develop technology to support the operation and supervision of public transit systems through vehicle tracking, arrival-time estimation, electronic identification and analysis of operational data. These tools make it possible to observe how the system behaves and to support control, safety and service management.
Faculty
Recent work
- Detección de evasión por puerta de vagón en sistemas BRT a través del análisis automático de video mediante un método de inteligencia artificial
- Detección de la evasión en los puntos de validación de pago por torniquete del sistema de transporte Transmilenio
- Detección y conteo de evasores en el sistema de transporte Transmilenio
Timeline
2026
2025
2024
- Detección y conteo de evasores en el sistema de transporte Transmilenio
- Diseño y evaluación de un modelo computacional basado en aprendizaje profundo para la predicción del tráfico vial en un segmento de vía de la ciudad de Bogotá
- Método basado en visión artificial para la identificación del eje aplicado al proceso de inspección de frenos de vehículos livianos en centros de diagnóstico automotor
2023
2022
- Análisis de datos de accidentalidad vial de la ciudad de Bogotá a partir de datos abiertos y datos obtenidos desde redes sociales
- Deep Learning Ensemble Model for the Prediction of Traffic Accidents Using Social Media Data
- Extraction and Analysis of Social Networks Data to Detect Traffic Accidents
- Macroscopic Spatial Analysis of the Impact of Socioeconomic, Land Use and Mobility Factors on the Frequency of Traffic Accidents in Bogotá
2021
2020
2019
- A Vehicle Tracking Device with Built-in Safety Features for Public Transportation Systems
- An Artificial Vision Based Method for Vehicle Detection and Classification in Urban Traffic
- Diseño y validación de un sistema de procesamiento de imágenes para el reconocimiento vehicular en intersecciones viales
- Sistema para la medición de velocidad media vehicular mediante tecnologías Bluetooth y Wifi
2018
- Analysis of requirements for secure automated vehicle location devices for public transportation systems in Colombia
- Diseño y Validación de un framework para IoT basado en tecnología RFID
- PCIV, an RFID-Based Platform for Intelligent Vehicle Monitoring
- Sistema de monitoreo y clasificación de tráfico urbano en tiempo real a través de procesamiento digital de imágenes
2016
2015