A New Method for Urban Travel Rout Planning Based on Air Pollution Sensor Data
Homayoon Zahmatkesh1 * , Mohsen Saber1 and Majid Malekpour1
1
Department of Surveying and Geomatics,
University of Tehran,
Iran
http://dx.doi.org/10.12944/CWE.10.Special-Issue1.83
With the growth of urban transportation and the raise in the number of cars commuting in megacities, the need for a solution to travel healthy for daily activities becomes a place of importance. The air pollution issue could be regarded as one of the most important consequences of heavy traffic jam that affect citizens negatively. In this paper a new approach is presented in which concurrently decrease the harmful effect of air pollution on vulnerable people and also reduce the wasted time of people in traffic. In this research Dijkstra algorithm is used to find the optimum path which is efficient in both aspects of shortness and air quality condition. Three different weights are assigned for network dataset to evaluate the sensitivity of calculated path in various conditions.
Copy the following to cite this article:
Zahmatkesh H, Saber M, Malekpour M. A New Method for Urban Travel Rout Planning Based on Air Pollution Sensor Data. Special Issue of Curr World Environ 2015;10(Special Issue May 2015). DOI:http://dx.doi.org/10.12944/CWE.10.Special-Issue1.83
Copy the following to cite this URL:
Zahmatkesh H, Saber M, Malekpour M. A New Method for Urban Travel Rout Planning Based on Air Pollution Sensor Data. Special Issue of Curr World Environ 2015;10(Special Issue May 2015). Available from: http://www.cwejournal.org/?p=10115
