Bridges Buses Discrete event systems Fleet management Infrastructure Olympic games Pilgrimages Pilgrims Resource allocation Scheduling Simulation Traffic congestion Traffic police Transportation management Transportation planning Windows (intervals)
Hajj, the Muslim pilgrimage, is a large mass gathering event that involves performing rituals at several sites on specific days and times in a fixed order, thereby requiring transport of pilgrims between sites. For the past two decades, Hajj transport has relied on conventional and shuttle buses, train services, and pilgrims walking along pedestrian routes that link these sites. To ensure smooth and efficient transport during Hajj, specific groups of pilgrims are allocated with the cooperation of Hajj authorities to specific time windows, modes, and routes. However, the large number of pilgrims, delays and changes in bus schedules/timetables, and occasional lack of coordination between transport modes have often caused congestion or delays in pilgrim transfer between sites, with a cascading effect on transport management. This study focuses on modelling and simulating the transport of pilgrims between the sites using a discrete event simulation tool called “ExtendSim”. Three transport modules were validated, and different scenarios were developed. These scenarios consider changes in the percentages of pilgrims allocated to each transport mode and the scheduling of various modes. The results can aid authorities to make informed decisions regarding transport strategies for managing the transport infrastructure and fleets. The proposed solutions could be implemented with judicious allocation of resources, through pre-event planning and real-time monitoring during the event.
Details
Title
Transport of pilgrims during Hajj: Evidence from a discrete event simulation study
Authors/Creators
Almoaid Owaidah - The University of Western Australia
Doina Olaru - The University of Western Australia
Mohammed Bennamoun - The University of Western Australia
Ferdous Sohel - Murdoch University, Centre for Crop and Food Innovation