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Analysis of Approaches to Short Term Passenger Volume Prediction in Public Transport
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 131 - Number 10 |
| Year of Publication: 2015 |
| Authors: Abhijeet Shingade, Adesh Atole, Piyush Galphat, Shashank Dharmadhikari, Bhushan Thakare |
10.5120/ijca2015907434
|
Abhijeet Shingade, Adesh Atole, Piyush Galphat, Shashank Dharmadhikari, Bhushan Thakare . Analysis of Approaches to Short Term Passenger Volume Prediction in Public Transport. International Journal of Computer Applications. 131, 10 ( December 2015), 34-38. DOI=10.5120/ijca2015907434
Abstract
Public Transport systems form an integral part in development of city. The development of the city can be correlated to the proportion of its population adopting public transport as its primary mode of transport. For organizations, which provide public transport services in a city, it will be beneficial to have real-time intelligent scheduling and dispatching system. To have a functional intelligent scheduling system, it is necessary to build a passenger flow prediction system, which predicts the flow of passengers based on historical data and environmental conditions. This paper presents various approaches for transit passenger volume prediction, merits and demerits of each.
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