Are Seat and Aisle Interferences Affecting the Overall Airplane Boarding Time? An Agent-Based Approach

Seat and aisle interferences are assumed to be linked with a prolonged boarding time along with several other aspects related to airplane boarding such as: luggage handling, luggage distribution inside the cabin, number of passengers, passengers’ physique characteristics, group behavior, seat selection, aircraft occupancy, aircraft design, etc. Based on these assumptions, a series of proposed boarding methods, underlying their efficiency starting from the absence or limited presence of these types of interferences, are proposed. The present paper aims to analyze whether the different types of seat or aisle interferences do matter for the overall boarding time by considering 24 boarding methods proposed in the literature. A series of specific elements related to interferences, such as: the average waiting time, the average number of interferences based on their types, and the average number of interference-affected passengers, have been considered. Also, the presence of multiple interferences in different parts of the aircraft has been analyzed in order to offer a complete picture of the considered situation. An agent-based model in NetLogo 6.0.4, fed with values form field trials within the literature is created and used for simulations, which enables the agents to act like real passengers involved in an airplane boarding process.

[1]  Hani S. Mahmassani,et al.  Modeling framework for optimal evacuation of large-scale crowded pedestrian facilities , 2014, Eur. J. Oper. Res..

[2]  Sohail Jabbar,et al.  A collision avoidance scheme for autonomous vehicles inspired by human social norms , 2018, Comput. Electr. Eng..

[3]  Michael Schultz,et al.  The seat interference potential as an indicator for the aircraft boarding progress , 2017 .

[4]  R. John Milne,et al.  A new method for boarding passengers onto an airplane , 2014 .

[5]  Camelia Delcea,et al.  Agent-Based Evaluation of the Airplane Boarding Strategies’ Efficiency and Sustainability , 2018, Sustainability.

[6]  J. Steffen.  A statistical mechanics model for free-for-all airplane passenger boarding , 2008, 0803.3199.

[7]  E. Scarlat,et al.  Opinion influence in online social media environments — U grey system theory and agent-based modeling approach , 2017, 2017 International Conference on Grey Systems and Intelligent Services (GSIS).

[8]  Camelia Delcea,et al.  Airplane Boarding Strategies Using Agent-Based Modeling and Grey Analysis , 2018, ICCCI.

[9]  Michael Schultz,et al.  Dynamic change of aircraft seat condition for fast boarding , 2017 .

[10]  Aizhu Ren,et al.  Agent-based evacuation model of large public buildings under fire conditions , 2009 .

[11]  Hendrik Vermuyten,et al.  A review of optimisation models for pedestrian evacuation and design problems , 2016 .

[12]  Hui Lin,et al.  Agent-based simulation of building evacuation: Combining human behavior with predictable spatial accessibility in a fire emergency , 2015, Inf. Sci..

[13]  Fred Highland.  Modeling Complexity in Multi-modal Adaptive Survey Systems , 2014, Complex Adaptive Systems.

[14]  R. John Milne,et al.  Optimization of assigning passengers to seats on airplanes based on their carry-on luggage , 2016 .

[15]  Sebastián Bouzat,et al.  Behavioral effects in room evacuation models , 2017 .

[16]  Ameya Shendarkar,et al.  Crowd simulation for emergency response using BDI agents based on immersive virtual reality , 2008, Simul. Model. Pract. Theory.

[17]  Michael Schultz,et al.  Field Trial Measurements to Validate a Stochastic Aircraft Boarding Model , 2018 .

[18]  Stanislao Grazioso,et al.  A fast airplane boarding strategy using online seat assignment based on passenger classification , 2016 .

[19]  M. Pardo,et al.  Agent-based Modeling and Simulation to Adoption Process of Information Technologies in Health Systems , 2016, IEEE Latin America Transactions.

[20]  Gary L. Hogg,et al.  America West Airlines Develops Efficient Boarding Strategies , 2005, Interfaces.

[21]  K. McFadden,et al.  A study of the airline boarding problem , 2008 .

[22]  Xiaobing Xu,et al.  Experimental analyses of airplane boarding based on interference classification , 2018 .

[23]  Albert Steiner,et al.  Speeding up the airplane boarding process by using pre-boarding areas , 2009 .

[24]  Sangpetch Prachai.  The Design of Diabetes Simulation System using Multi-Agent , 2012 .

[25]  Leishan Zhou,et al.  An Alternative Approach for High Speed Railway Carrying Capacity Calculation Based on Multiagent Simulation , 2016 .

[26]  Vikas Agrawal,et al.  An agent-based simulation system for concert venue crowd evacuation modeling in the presence of a fire disaster , 2014, Expert Syst. Appl..

[27]  Hassan Zeineddine,et al.  A dynamically optimized aircraft boarding strategy , 2017 .

[28]  Il,et al.  Experimental test of airplane boarding methods , 2011, 1108.5211.

[29]  Steven Skiena,et al.  Analysis of Airplane Boarding Times , 2009, Oper. Res..

[30]  Iraj Mahdavi,et al.  A new linear programming approach and genetic algorithm for solving airline boarding problem , 2012 .

[31]  Emilio Luque,et al.  An Agent-Based Decision Support System for Hospitals Emergency Departments , 2011, ICCS.

[32]  Clinton Fookes,et al.  Agent-based modelling of aircraft boarding methods , 2014, 2014 4th International Conference On Simulation And Modeling Methodologies, Technologies And Applications (SIMULTECH).

[33]  Michael Schmidt,et al.  A review of aircraft turnaround operations and simulations , 2017 .

[34]  Ziyou Gao,et al.  Reducing airplane boarding time by accounting for passengers' individual properties: A simulation based on cellular automaton , 2014 .

[35]  Jason H. Steffen,et al.  Optimal boarding method for airline passengers , 2008, 0802.0733.

[36]  Hai-Jun Huang,et al.  An aircraft boarding model with the group behavior and the quantity of luggage , 2018, Transportation Research Part C: Emerging Technologies.

[37]  Camelia Delcea,et al.  Agent-Based Optimization of the Emergency Exits and Desks Placement in Classrooms , 2018, ICCCI.

[38]  Vi Ha,et al.  Agent-based modeling of a multi-room multi-floor building emergency evacuation , 2012 .

[39]  Artur Malinowski,et al.  Multi-agent large-scale parallel crowd simulation , 2017, ICCS.

[40]  Edwin R. Galea,et al.  An agent based evacuation model utilising hybrid space discretisation , 2012 .

[41]  Lou Caccetta,et al.  An aircraft boarding model accounting for passengers' individual properties , 2012 .

[42]  Kelly A. Grogan,et al.  A hybrid optimization-agent-based model of REDD+ payments to households on an old deforestation frontier in the Brazilian Amazon , 2018, Environ. Model. Softw..

[43]  Camelia Delcea,et al.  A Two-Door Airplane Boarding Approach When Using Apron Buses , 2018, Sustainability.

[44]  K. Nagel,et al.  Robustness of Efficient Passenger Boarding Strategies for Airplanes , 2005 .

[45]  Ugur Güdükbay,et al.  Emergency crowd simulation for outdoor environments , 2010, Comput. Graph..

[46]  Hendrik Van Landeghem,et al.  Reducing passenger boarding time in airplanes: A simulation based approach , 2002, Eur. J. Oper. Res..

[47]  Grégoire Mariethoz,et al.  An agent-based platform for simulating complex human-aquifer interactions in managed groundwater systems , 2015, Environ. Model. Softw..

[48]  R. John Milne,et al.  Robust Optimization of Airplane Passenger Seating Assignments , 2018, Aerospace.

[49]  Geert Wets,et al.  Micro-simulation of Car Drivers’ Movements at Parking Lots , 2016 .

[50]  Artur Kierzkowski,et al.  The Human Factor in the Passenger Boarding Process at the Airport , 2017 .

[51]  Ching-Chung Kuo,et al.  An Improved Zero-One Linear Programming Model for the Plane Boarding Problem , 2015 .

[52]  William Rand,et al.  An Introduction to Agent-Based Modeling: Modeling Natural, Social, and Engineered Complex Systems with NetLogo , 2015 .

[53]  Qingxia Huang,et al.  Evaluation of Airplane Boarding/Deboarding Strategies: A Surrogate Experimental Test , 2017, Symmetry.

[54]  Massoud Bazargan,et al.  A linear programming approach for aircraft boarding strategy , 2007, Eur. J. Oper. Res..