Analyzing the Accuracy of Historical Average for Urban Traffic Forecasting Using Google Maps

Pages: 1145 - 1156
Published: Sep 6, 2018
Abstract
Urban traffic management uses increasingly sophisticated methods to overcome the many challenges involved in the development of traffic forecasting solutions. The main challenge is the acquisition of real-time large-scale urban traffic data at a sufficient spatio-temporal resolution. This is a challenge mainly because of the high financial cost that the installation of a large number of sensors would incur. This paper addresses this challenge by...
Paper Details
Title
Analyzing the Accuracy of Historical Average for Urban Traffic Forecasting Using Google Maps
Published Date
Sep 6, 2018
Pages
1145 - 1156
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