Travel Time Estimation for Pedestrian with GPS Cell Phones as Probes

  • Himal Acharya Department of Electrical and Electronics Engineering, Nepal College of Information Technology, Balkumari, Lalitpur, Nepal

Abstract

This paper estimates the travel time for pedestrian in Kist Medical Hospital- Balkumari route using cell phones’ GPS as probes. Using Google Map’s individual timeline, GPS data was traced for this route. Then, Kalman Filter Algorithm is used to estimate the travel time for pedestrian for that week day. Using algorithm result, statistical tool is used to measure the accuracy of travel time in particular origin-destination pair. Kalman filter algorithm is better approach for travel time estimation since the parameters get updated quickly if there is traffic fluctuation. Based on mean travel time, Kalman filter has better travel time estimation of 16.6 min with the help of historical data in compared to Google Map estimation of 18 min irrespective time of day in above origin-destination pair. Real observation is close to estimated travel time which signifies estimated travel time. Here author manages to compare the mean travel time between Kalman filter estimation and Google map data estimation.

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Author Biography

Himal Acharya, Department of Electrical and Electronics Engineering, Nepal College of Information Technology, Balkumari, Lalitpur, Nepal

Himal Acharya, permanent resident of Chitwan completed his Bachelor of Engineering (B.E.) degree in Electronics and Communication Engineering from Western Region Campus, Institute of Engineering, Tribhuvan University, Nepal in 2011 AD. He is currently working as a lecturer at Nepal College of Information Technology (NCIT), Lalitpur, Nepal for last six years with one year break. He is studying Master of Science in Information and Communication Engineering at Pulchowk Campus. He is a registered member of Nepal Engineering Council.

Published
2018-12-14
How to Cite
Acharya, H. (2018). Travel Time Estimation for Pedestrian with GPS Cell Phones as Probes. Kathford Journal of Engineering and Management, 1(1), 27-30. https://doi.org/10.3126/kjem.v1i1.22019
Section
Articles