Author:
Yasmany García-Ramírez
Affiliation:
Department of Civil Engineering, Universidad Técnica Particular de Loja, San Cayetano Street, Loja, Ecuador
Keyword(s):
Urban Streets, Developing Countries, Traffic Congestion Model, Fundamental Parameters, Google.
Abstract:
Congestion on urban streets has negative impacts on the urban economy, environment, and lifestyle. Congestion, in developing countries, will increase despite knowing its cons. One way to control or reduce congestion is by sharing traffic information through traffic model congestion. This model includes the estimation of the travel time from the desired place of origin-destination. Speed-flow-density parameters help to calculate travel time. These fundamental parameters could be estimated using Floating Car Data from Google. Therefore, the objective of this research is to calibrate equations for the fundamental parameters with traffic state indicators by Google, relating them to ground truth data. Six density-flow equations and six speed-density equations were calibrated using power and linear curve, and some of them were validated. Other cities can use these equations to build their traffic congestion model. With this model, road users can plan the journey and choice the best route o
r travel in times of low congestion or uptake of public transport, decongesting the city and saving traffic costs related. This comprehensive research extends the knowledge of how Google traffic information can employ in developing cities.
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