Medicine and science in sports and exercise, Jan 9, 2015
With the growing popularity of long distance running races, an emerging area of interest for race... more With the growing popularity of long distance running races, an emerging area of interest for race organizers is the ability to electronically track and understand participant status throughout events to optimize the runner and spectator experience and to identify and respond to dynamic needs of both communities. This study examines the potential value of developing real-time patient tracking systems (PTSs) at marathons based on the Chicago Medical Patient Tracking System (CMPTS). Data collected from CMPTS and timing mats along the course for two running races in 2012 and 2013 were analyzed for data completeness and data value. Subjects consisted of patients who were tracked electronically in the system. A comparison of medical data collected by PTS and paper forms is provided. Once fully implemented, PTS has a potential to capture more accurate and more detailed information compared with paper forms. A significant amount of records obtained by paper forms lacks any time or diagnosis...
Planning and execution of mass-gathering events involves various challenges. In this case report,... more Planning and execution of mass-gathering events involves various challenges. In this case report, the Chicago Model (CM), which was designed to organize and operate such events and to maintain the health and wellbeing of both runners and the public in a more effective way, is described. The Chicago Model also was designed to prepare for unexpected incidents, including disasters, during the marathon event. The model has been used successfully in the planning and execution stages of the Bank of America Shamrock Shuffle and the Bank of America Chicago Marathon since 2008. The key components of the CM are organizational structure, information systems, and communication. This case report describes how the organizers at the 2013 Shamrock Shuffle used the key components of the CM approach in order to respond to an acute incident caused by a man who was threatening to jump off the State Street Bridge. The course route was changed to accommodate this unexpected event, while maintaining access to key health care facilities. The lessons learned from the incident are presented and further improvements to the existing model are proposed.
ABSTRACT Sensors form an effective wireless network for the surveillance of a region. Ensuring co... more ABSTRACT Sensors form an effective wireless network for the surveillance of a region. Ensuring coverage is an important issue in wireless sensor network design. This paper focuses on an application where sensors are used to detect intruders. The defender wants to determine the best locations of the sensors to maximise the point coverage in the area with the anticipation that an intruder will attack and destroy some of the sensors to reduce the coverage. This sequential game between the defender and the intruder is modelled using bilevel programming. Two models are formulated: a bilevel pure integer linear programme (BPILP) where an attacked sensor is destroyed completely and a bilevel mixed integer linear programme (BMILP) where a damaged sensor continues to operate at a reduced capacity. Since BPILP and BMILP models are difficult to solve exactly, solution methods based on local search and tabu search are proposed, which are hybridised with an exact method. [Received 9 September 2011; Revised 7 January 2012; Revised 20 March 2012; Accepted 20 March 2012]
The aircraft maintenance routing problem is one of the most studied problems in the airline indus... more The aircraft maintenance routing problem is one of the most studied problems in the airline industry. Most of the studies focus on finding a unique rotation that will be repeated by each aircraft in the fleet with a certain lag. In practice, using a single rotation for the entire fleet is not applicable due to stochasticity and operational considerations in the airline industry. In this study, our aim is to develop a fast responsive methodology which provides maintenance feasible routes for each aircraft in the fleet over a weekly planning horizon with the objective of maximizing utilization of the total remaining flying time of fleet. For this purpose, we formulate an integer linear programming (ILP) model by modifying the connection network representation. The proposed model is solved by using branch-and-bound under different priority settings for variables to branch on. A heuristic method based on compressed annealing is applied to the same problem and a comparison of exact and heuristic methods are provided. The model and the heuristic method are extended to incorporate maintenance capacity constraints. Additionally, a rolling horizon based procedure is proposed to update the existing routes when some of the maintenance decisions are already fixed.
Medicine and science in sports and exercise, Jan 9, 2015
With the growing popularity of long distance running races, an emerging area of interest for race... more With the growing popularity of long distance running races, an emerging area of interest for race organizers is the ability to electronically track and understand participant status throughout events to optimize the runner and spectator experience and to identify and respond to dynamic needs of both communities. This study examines the potential value of developing real-time patient tracking systems (PTSs) at marathons based on the Chicago Medical Patient Tracking System (CMPTS). Data collected from CMPTS and timing mats along the course for two running races in 2012 and 2013 were analyzed for data completeness and data value. Subjects consisted of patients who were tracked electronically in the system. A comparison of medical data collected by PTS and paper forms is provided. Once fully implemented, PTS has a potential to capture more accurate and more detailed information compared with paper forms. A significant amount of records obtained by paper forms lacks any time or diagnosis...
Planning and execution of mass-gathering events involves various challenges. In this case report,... more Planning and execution of mass-gathering events involves various challenges. In this case report, the Chicago Model (CM), which was designed to organize and operate such events and to maintain the health and wellbeing of both runners and the public in a more effective way, is described. The Chicago Model also was designed to prepare for unexpected incidents, including disasters, during the marathon event. The model has been used successfully in the planning and execution stages of the Bank of America Shamrock Shuffle and the Bank of America Chicago Marathon since 2008. The key components of the CM are organizational structure, information systems, and communication. This case report describes how the organizers at the 2013 Shamrock Shuffle used the key components of the CM approach in order to respond to an acute incident caused by a man who was threatening to jump off the State Street Bridge. The course route was changed to accommodate this unexpected event, while maintaining access to key health care facilities. The lessons learned from the incident are presented and further improvements to the existing model are proposed.
ABSTRACT Sensors form an effective wireless network for the surveillance of a region. Ensuring co... more ABSTRACT Sensors form an effective wireless network for the surveillance of a region. Ensuring coverage is an important issue in wireless sensor network design. This paper focuses on an application where sensors are used to detect intruders. The defender wants to determine the best locations of the sensors to maximise the point coverage in the area with the anticipation that an intruder will attack and destroy some of the sensors to reduce the coverage. This sequential game between the defender and the intruder is modelled using bilevel programming. Two models are formulated: a bilevel pure integer linear programme (BPILP) where an attacked sensor is destroyed completely and a bilevel mixed integer linear programme (BMILP) where a damaged sensor continues to operate at a reduced capacity. Since BPILP and BMILP models are difficult to solve exactly, solution methods based on local search and tabu search are proposed, which are hybridised with an exact method. [Received 9 September 2011; Revised 7 January 2012; Revised 20 March 2012; Accepted 20 March 2012]
The aircraft maintenance routing problem is one of the most studied problems in the airline indus... more The aircraft maintenance routing problem is one of the most studied problems in the airline industry. Most of the studies focus on finding a unique rotation that will be repeated by each aircraft in the fleet with a certain lag. In practice, using a single rotation for the entire fleet is not applicable due to stochasticity and operational considerations in the airline industry. In this study, our aim is to develop a fast responsive methodology which provides maintenance feasible routes for each aircraft in the fleet over a weekly planning horizon with the objective of maximizing utilization of the total remaining flying time of fleet. For this purpose, we formulate an integer linear programming (ILP) model by modifying the connection network representation. The proposed model is solved by using branch-and-bound under different priority settings for variables to branch on. A heuristic method based on compressed annealing is applied to the same problem and a comparison of exact and heuristic methods are provided. The model and the heuristic method are extended to incorporate maintenance capacity constraints. Additionally, a rolling horizon based procedure is proposed to update the existing routes when some of the maintenance decisions are already fixed.
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