Mobile-based intelligent transportation for bus commuters based on Twitter analytics

Faculty / School

Faculty of Computer Sciences (FCS)

Department

Department of Computer Science

Was this content written or created while at IBA?

Yes

Document Type

Conference Paper

Publication Date

2016

Conference Name

14th International Conference on Frontiers of Information Technology (FIT' 16)

Conference Location

Islamabad, Pakistan

Conference Dates

19-21 December 2016

ISBN/ISSN

85026861395 (Scopus)

First Page

223

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Abstract / Description

In this paper, we present an intelligent, state-of-the-art, mobile-based transportation system called SAFAR (Safe and Fast around the Road), which provides dynamic information to Karachi bus commuters concerning any type of violence incident which has occurred farther ahead from their current location on the current bus route. Using named entity recognition techniques, we have trained SAFAR to recognize the location and method of violence incident along with the casualty information (if available) from live Twitter news feeds. Using the well-known A∗ heuristic search algorithm, SAFAR also recommends alternative routes to reach the destination in case of any violence up ahead. SAFAR has a competitive violence detection accuracy of 80% on a test corpus as well as in an online evaluation with real users. Finally, a subjective evaluation of these users reveals satisfactory performance of SAFAR across several dimensions.

Citation/Publisher Attribution

Mahmood, T., Mujtaba, G., Shuib, L., Ali, N. Z., Bawa, A., & Karim, S. (2016, December). Mobile-based intelligent transportation for bus commuters based on twitter analytics. In 2016 International Conference on Frontiers of Information Technology (FIT) (pp. 223-228). IEEE.

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