Analysis of the International Applicability of Singapore’s Electronic Road Pricing (ERP) and its Impact on Mobility: A Socio- Environmental Approach for the City of Medellin.

El presente proyecto de investigación tiene como fin indagar y analizar la aplicabilidad internacional del proyecto de Electronic Road Pricing o ERP implementado en Singapur desde el año 1998 con el fin de disminuir los niveles de congestión vehicular en un centro urbano o ciudad, reducir las emisiones de gases que perjudican la calidad del aire y maximizar la productividad a nivel local al generar un tiempo de transporte más estandarizado. En efecto, la alta congestión vehicular que ha venido aumentando en los últimos años en la ciudad de Medellín ha sido causa de severos problemas ambientales y sociales para la población local. Aún más, la creciente demanda vehicular a ciertas horas del día logra disminuir la productividad de un centro urbano e industrial como lo es la capital antioqueña. Dado que las presentes regulaciones locales para mejorar la movilidad no han generado una solución definitiva, este proyecto busca analizar la aplicabilidad de un nuevo sistema de tarifas de congestión en la ciudad de Medellín con base al caso del ERP de Singapur.

A traffic congestion avoidance algorithm with dynamic road pricing for smart cities

The traffic congestion problem is a common issue for the residents of metropolises. Although expanding the capacity of transportation systems and stimulating the public transportation may decrease the traffic congestion, they cannot completely solve the traffic congestion problem. As a solution for the worsening traffic congestion problem in urban areas, road pricing systems have been employed. In this paper, we propose a radically different road pricing scheme to prevent and decrease the traffic congestion in metropolises. Unlike designating a small congestion charge zone in a city, we propose to employ a road pricing system over the entire city. Thus, our road pricing system can control the traffic flow in the entire traffic network of the city. Furthermore, the road prices are adjusted dynamically based on the instantaneous traffic densities of each road in the city in order to rapidly and efficiently control the traffic flow and to prevent the traffic congestion. Moreover, we propose to change the road prices according to the past usage statistics of the road by predicting a possible congestion. The simulation results of our road pricing algorithm show that traffic congestion is prevented over the entire traffic network and the traffic densities of the roads are homogenized. © 2013 IEEE