Spatio-temporal Network-Constrained Trajectory Data Model and Service Reliability Assessment

ABSTRACT

Due to urbanization and increase in traffic density, provision of efficient public transport facility is a major component of planning and development. The spatio-temporal data of vehicles’ movement have mainly led to mobility pattern analysis, which eventually reveal new information about the efficiency of transport service. This research focuses on extracting mobility patterns of bus service for students in Lahore City. Trajectory data collected through GPS survey have been processed by using MYSQL spatial database applications and HTML to identify areas in entire route of bus service causing delay. Three different types of delay have been calculated, namely stop delay, simple path delay, and path repeated delay. The entire analysis results reveal that mainly the delay is caused at start segments of planned route or the last segment of stop route. The major cause of delay is bus movement on tertiary roads through congested commercial areas.

KEYWORDS:

• Data cleaning
• Map matching
• Mobility data
• Spatial entities
• Trajectory

DISCLOSURE STATEMENT

No potential conflict of interest was reported by the authors.

Additional information

Notes on contributors

Muhammad Burhan Khalid

Muhammad Burhan Khalid received the MSc degree in remote sensing and GIS from Punjab University College of Information Technology in 2012. He completed his MPhil RSGIS in 2015 from Punjab University College of Information Technology. At present, he is working as a software developer in Sw3 Solution. He is also teaching Web Engineering module as a visiting faculty member in Punjab University College of Information Technology. His main interests are web-based GIS data development and spatial data modelling.

E-mail: [email protected]

Muhammad Haris

Muhammad Haris received his BS (hons) degree in computer science from Punjab University College of Information Technology in 2005, MSc degree in remote sensing and GIS from Punjab University College of Information Technology in 2009. He completed his MPhil RSGIS in 2012 from Punjab University College of Information Technology. At present, he is working as a lecturer in GIS Centre, University of the Punjab, Lahore Pakistan. His main interests are web-based Web GIS, spatial data modelling, and social media networking.

E-mail: [email protected]

Qudsia Gulzar

Qudsia Gulzar received the master's degree in geography from Punjab University in 1996, and MSc degree in remote sensing and GIS from Punjab University College of Information Technology in 2003. She completed her MPhil RSGIS in 2012 from Punjab University College of Information Technology. At present, she is working as a lecturer in GIS Centre, University of the Punjab, Lahore, Pakistan. Her main interests are GIS applications in urban planning, spatial data modelling, and spatial data visualization techniques.

E-mail: [email protected]

Muhammad Hamid Ch

Muhammad Hamid Ch received the master's degree in geography from Punjab University in 2000 and MSc degree in remote sensing and GIS from Punjab University College of Information Technology in 2003. He completed his MPhil RSGIS in 2012 from Punjab University College of Information Technology. At present, he is working as a lecturer in GIS Centre, University of the Punjab, Lahore, Pakistan. His main interests are digital image processing, remote–sensing, and spatial data visualization techniques.

E-mail: [email protected]

Nida Samad

Nida Samad received the MSc degree in remote sensing and GIS from Punjab University College of Information Technology in 2008. She completed his MPhil RSGIS in 2013 from Punjab University College of Information Technology. At present, she is working as a lecturer in GIS Centre, University of the Punjab, Lahore, Pakistan. Her main interests are spatial data modelling, database development, and geostatistics.

E-mail: [email protected]