Micro-simulation of Car Drivers’ Movements at Parking Lots

Vo, Thi Thuy An; Waerden, Peter van der; Wets, Geert

doi:10.1016/j.proeng.2016.02.019

Cited by 28 publications

(28 citation statements)

References 5 publications

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“…The greedy method along with the random boarding method and the three methods introduced in [2] are programmed in NetLogo (Developed at The Cenrer for Connected Learning and Computer Based Modeling Evanston, IL 60208, United States of America), which benefits from all the advantages of the agent-based modeling [39][40][41][42][43][44][45][46][47] and respects the main properties of the agents as they are presented in the literature related to autonomy, social ability, responsiveness, proactiveness, adaptability, mobility, veracity, and rationality [15,[48][49][50]. To make the agent a realistic 38.6% in the random seat assignment case when compared to the random boarding method and up to 39.09% with preferential seat assignments.…”

Section: Passenger Seat Assignmentmentioning

confidence: 99%

Greedy Method for Boarding a Partially Occupied Airplane Using Apron Buses

et al. 2019

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This paper investigates the time to complete the boarding of a partially occupied two-door airplane when its passengers are transported from the airport terminal to the airplane using two apron buses. We propose a greedy method that assigns each passenger to a particular apron bus based on the passengers’ airplane seat assignments. This greedy approach exploits the airplane’s symmetry by providing essentially the same method for those boarding through the front door of the airplane as those boarding through the rear door of the airplane. The symmetrical properties of window, middle, and aisle seats of each row/side are considered in the proposed method as well. Computer simulation results indicate that, when using the greedy method, the boarding time can be reduced by up to 8.33% compared to the boarding time resulting from the best known practices in the literature, and with up to a 43.72% improvement in boarding time when compared to the boarding method commonly used in many airports. Furthermore, experimental results confirm our hypothesis that when the capacity of the apron buses exceeds the number of passengers to be transported to the airplane, the most time-efficient results of the proposed greedy method occur when an equal number of passengers are assigned to each of the two apron buses.

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Section: Passenger Seat Assignmentmentioning

confidence: 99%

Greedy Method for Boarding a Partially Occupied Airplane Using Apron Buses

et al. 2019

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“…Riaz et al [63] have proposed a collision avoidance scheme for autonomous vehicles inspired by human social norms which has underlined the advantages brought by the use of an autopilot. Also, related to the car movement in a parking lot, Vo et al [64] have proposed an ABM in NetLogo and have concluded that pedestrians, drivers' experience and expectations, parking location, speed limit, and maximum parking duration have direct effects on the parking efficiency and safety. Airplane boarding techniques have been studied extensively through a series of models developed in NetLogo [65,66].…”

Section: Examples Of Agent-based Modeling Applicationsmentioning

confidence: 99%

Modeling the Consumers Opinion Influence in Online Social Media in the Case of Eco-friendly Products

et al. 2019

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Social influence has a positive impact on the purchase intention for eco-friendly products along with other subjective and objective aspects related to environmental attitude, product attitude, and subjective and objective knowledge. Also, exposure to media has been proven to have a significant positive affect on environmental attitude, with effect on the purchase intention. Several recent studies have shown the importance of consumers’ influence in online social networks, underlying the role played by the online environments over consumers’ attitude. As a result, the current research tries to analyze the influence exerted on consumers’ decision to purchase eco-friendly products by their activity in online social environments. Using a questionnaire, filled-in by 409 respondents, a series of variables have been extracted with regard to the eco-friendly products. An agent-based model has been created, fed with the values of the variables extracted from the questionnaire, and used for simulations. As a result, it has been observed that an increase in online media exposure can have a high positive impact on the eco-friendly product adoption. Depending on the type of product—soft or durable good—different times for the eco-friendly product adoption have been determined relatively to the considered variables. Last, the possible limitations of using an agent-based modeling approach are discussed, along with possible extensions and improvements.

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“…In order to simulate the methods introduced in Table 2 for a partially occupied airplane, an agent-based model in NetLogo was developed (please see Figure 8). The agent-based modeling is one of the well-known choices for researchers when conducting experiments that involve human activities [38][39][40][41][42][43][44][45][46]. The agents used in this type of modeling possess a series of characteristics, such as autonomy, social ability, responsiveness, proactiveness, adaptability, mobility, veracity, and rationality [10,[47][48][49], which makes them a close replicate of humans.…”

Section: Passenger Seat Assignment Movement and Luggage Assumptionsmentioning

confidence: 99%

Testing New Methods for Boarding a Partially Occupied Airplane Using Apron Buses

et al. 2019

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The use of apron buses has become a common practice at many European airports. Previous studies related to airplane boarding rarely apply when apron buses are used, leaving airlines with no well-researched option except to use the random boarding method. In this paper, we test the time to complete boarding a two-door airplane using various boarding methods with two apron buses. These methods were inspired by the classical outside-in, back-to-front, and reverse-pyramid methods considering the limited number of boarding groups corresponding to the limited number of apron buses used for transporting passengers from the terminal to the aircraft. Unlike earlier publications, we test these methods under partial aircraft occupancy. Furthermore, we test the boarding methods under conditions involving: different passenger occupancy rates, different luggage situations, and with two types of seating assignments-random and based upon passenger seating preferences-by considering the advantages brought by the symmetric layout of the aircraft. Experimental results indicate that the best performing method can reduce the boarding time by up to 38.6% compared to the time resulting from the random boarding method. When the airplane is partially occupied, the best performing methods are reverse pyramid-A, hybrid-A, and hybrid-B, all with similar performances.

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Micro-simulation of Car Drivers’ Movements at Parking Lots

Cited by 28 publications

References 5 publications

Greedy Method for Boarding a Partially Occupied Airplane Using Apron Buses

Greedy Method for Boarding a Partially Occupied Airplane Using Apron Buses

Modeling the Consumers Opinion Influence in Online Social Media in the Case of Eco-friendly Products

Testing New Methods for Boarding a Partially Occupied Airplane Using Apron Buses

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