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As robots enter everyday environments, they start performing tasks originally performed by humans. One field of application is the public transport sector. The deployment of autonomous transport systems comes with a lack of human contact persons for help, ...

Indoor navigation[3] has always been a significant problem when a person visits an unknown facility like airports, museums, shopping malls, hospitals, campuses etc. There is a lack of exact positioning of the user and their desired destination. GPS(...

Crowd management in religious gatherings is a complex and non-trivial task. Lack of planning and management has resulted in many unfortunate incidents of stampede in the past. Though local authorities deploy crowd management personnel to avert and control ...

Location-Based Social Networks (LBSNs) have been used in many applications including crowd estimation and event detection. Snapchat is an LBSN that offers real-time activity monitoring around the world through its Snap Map using aggregation of user-...

Event crowd management has been a significant research topic with high social impact. When some big events happen such as an earthquake, typhoon, and national festival, crowd management becomes the first priority for governments (e.g. police) and public ...

By Islam’s principle, each adult Muslim who is physically and financially capable is obligated to perform Hajj—Pilgrimage to Mecca—once in his lifetime. With millions of faithful pilgrims, the Hajj is one the largest annual pedestrian events in the world. ...

The Hajj—the great pilgrimage to Mecca, Saudi Arabia—is one of the five pillars of Islam. Up to four million pilgrims perform the Hajj rituals every year. This makes it one of the largest pedestrian problems in the world. Ramy al-Jamarat—the symbolic ...

Parking lots in densely crowded environments such as stadiums, theaters, and hospitals provide great opportunities for vehicular cloud services. A cloud environment formed by individual vehicles, where each vehicle offers its resources as a service has ...

The crowd phenomenon frequently occurs in dense urban living environments. Crowd counting or estimation helps to develop management strategies such as designing safe public places and evacuation plan for emergencies. These strategies are different ...

The Hajj, the annual Muslim pilgrimage to Makkah in Saudi Arabia, is one of the largest pedestrian events in the world. Each year, up to four million pilgrims approach the holy sites in the region of Makkah to perform their religious duty. The key ...

Crowd and evacuation management have been active areas of research and study in the recent past. Various developments continue to take place in the process of efficient evacuation of crowds in mass gatherings. This article is intended to provide a ...

Crowd management is a complex, challenging and crucial task. Lack of appropriate management of crowd has, in past, led to many unfortunate stampedes with significant loss of life. To increase the crowd management efficiency, we deploy automated real ...

Recent disasters during major events have resulted in increased focus on influencing crowds, both during emergencies and under normal circumstances. In this exploratory study event experts were interviewed to uncover good practices regarding the use of ...

This paper describes a teaching case in which students model crowd management using process analysis. The case study consists of a classroom exercise that provides a practical illustration of the steps required to analyze a process, the need for ...

This paper studies pedestrian interaction where pedestrians permeate thought crowds in areas such as train stations and shopping centres. Pedestrian simulation model is created by use of Cellular Automata CA and various analyses are carried out by means ...

In places of reverence, wherein large crowds gather to have small time duration for individual solace, there is typically a long queue of people waiting for their turn. There have been cases of stampedes with significant loss of life and trauma during ...

Over the past decade, a wide attention has been paid to the crowd control and management in intelligent video surveillance area. This paper proposes a sparse spatiotemporal local binary pattern (SST-LBP) descriptor to extract the dynamic texture of the ...