IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Revealing Taxi Driver's Mobility Intelligence through His Trace

Revealing Taxi Driver's Mobility Intelligence through His Trace
View Sample PDF
Author(s): Liang Liu (Massachusetts Institute of Technology, USA), Clio Andris (Massachusetts Institute of Technology, USA), Assaf Biderman (Massachusetts Institute of Technology, USA)and Carlo Ratti (Massachusetts Institute of Technology, USA)
Copyright: 2010
Pages: 16
Source title: Movement-Aware Applications for Sustainable Mobility: Technologies and Approaches
Source Author(s)/Editor(s): Monica Wachowicz (Wageningen University of Research Centre for Geo-Information, The Netherlands)
DOI: 10.4018/978-1-61520-769-5.ch007

Purchase

View Revealing Taxi Driver's Mobility Intelligence through His Trace on the publisher's website for pricing and purchasing information.

Abstract

This study develops a methodology for the analysis of taxi drivers’ operation behavior in a real urban environment. The research objective is to spatially and temporally quantify, visualize, and examine taxi drivers’ operational behavior and skill (as measured by income), which the authors call ‘mobility intelligence’. For the first time, taxi drivers’ different operation strategies were systematically analyzed through their daily activity traces. Routes and economic behavior data were collected with the use of Global Positioning System (GPS) and a set of spatiotemporal analysis tools were developed. Drivers are categorized by their daily income into top drivers and ordinary drivers. A 3D clustering technique is used to quantitatively analyze the spatiotemporal patterns for top driver and ordinary driver. Also, fractal analysis is employed to quantify tortuosity of movement paths and to explore how top and ordinary drivers operate on different spatial scales at different times, where the primary focus is to reveal top driver mobility intelligence.

Related Content

Pankaj Bhambri, Alex Khang. © 2024. 17 pages.
Ushaa Eswaran, Vivek Eswaran, Keerthna Murali, Vishal Eswaran. © 2024. 27 pages.
Punam Rattan, Geeta Sharma, Pavitar Prakash Singh. © 2024. 24 pages.
J. Avanija, C. Rajyalakshmi, K. Reddy Madhavi, B. Narendra Kumar Rao. © 2024. 14 pages.
Sajida Mustafa, Rehan Mehmood Sabir, Abid Sarwar, Muhammad Safdar, Mohammed Saleh Al Ansari, Saddam Hussain. © 2024. 26 pages.
Muhammad Fawaz Saleem, Ali Raza, Rehan Mehmood Sabir, Muhammad Safdar, Muhammad Faheem, Mohammed Saleh Al Ansari, Saddam Hussain. © 2024. 29 pages.
Kashif Ali, Zuhaib Nishtar, Rehan Mehmood Sabir, Muhammad Safdar. © 2024. 20 pages.
Body Bottom