Modelling and simulation of passenger flow distribution at terminal of Catania airport

Tesoriere, Giovanni; Campisi, Tiziana; Canale, Antonino; Severino, Alessandro; Arena, Fabio

doi:10.1063/1.5079195

Cited by 22 publications

(19 citation statements)

References 15 publications

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“…e pedestrian flow was in a stable flow, which had a sense of congestion. When the pedestrian flow was (10,15] ped/ min, pedestrians were more severely interfered by other pedestrians in the pedestrian flow.…”

Section: Constituent Elements Of Pedestrian Lane Change Behaviormentioning

confidence: 99%

“…Orsini et al [9] applied extreme value theory to road safety and analyzed a case of dealing with motorway rear-end collision risk. Tesoriere et al [10] recorded the passenger volumes of the multinode in different periods by photos or videos and used the social force model method to analyze airport terminals with huge amounts of passengers passing by every hour. Wei et al [11] used Hadoop architecture to analyze and store the data, and the continuous adjacent videos were spliced and stored.…”

Section: Literature Reviewmentioning

confidence: 99%

“…e pedestrian flow was in a free flow. When the pedestrian flow was (5,10] ped/min, pedestrians were greatly interfered by other pedestrians in the pedestrian flow, and their walking speed was limited to a certain extent.…”

Section: Constituent Elements Of Pedestrian Lane Change Behaviormentioning

confidence: 99%

See 2 more Smart Citations

Analysis of Pedestrian Lane Change Behavior Spectrum Based on Video Data at Ticket Gate Facilities in Subway Stations

Fang

Shi

et al. 2022

Journal of Advanced Transportation

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Using motion unit tracking technology, the pedestrian motion parameters were extracted from the monitoring video data at the ticket gate facilities in subway stations and the indicators of the lane change behavior were determined. The pedestrian lane change behavior spectrum of ticket gate facilities in subway stations was constructed from the three elements of types of ticket gate facilities, pedestrian flow, and lane change behavior, and the quartile method was used to determine the upper and lower thresholds of the indicators. The results showed that when the pedestrian flow was (5, 10] ped/min, the average values of displacement, distance, and cumulative side shift distance were the largest and the thresholds were the largest. When the pedestrian flow was (10, 15] ped/min, pedestrians generally adopted a faster walking speed to change lanes. With the increase of the pedestrian flow, the average value of the change in direction of the movement increased and the longitudinal distance at the gate-type ticket gate facilities was greatly affected by the pedestrian flow. The number of lane changes was generally once. The research results can provide a basis for scientifically setting up ticket gate facilities and reducing congestion risks caused by abnormal lane change behavior.

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Section: Constituent Elements Of Pedestrian Lane Change Behaviormentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

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Analysis of Pedestrian Lane Change Behavior Spectrum Based on Video Data at Ticket Gate Facilities in Subway Stations

Fang

Shi

et al. 2022

Journal of Advanced Transportation

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“…IoT necessitates the development of many technologies currently designed by the leading companies and leads to a list of ever-growing advantages [11,12]. IoT applications cover many features, from health [13][14][15] to home automation [16][17][18][19], from transport [20][21][22][23][24] to security [25][26][27][28][29]. For instance, by spreading a set of sensors and processors, it is possible to control the windows, the temperature of the house, the lights, and other home appliances wirelessly [30,31].…”

Section: Introductionmentioning

confidence: 99%

An overview of big data analysis

Arena

Pau

2020

Bulletin EEI

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Big data represents one of the most profound and most pervasive evolutions in the digital world. Examples of big data come from Internet of Things (IoT) devices, as well as smart cars, but also the use of social networks, industries, and so on. The sources of data are numerous and continuously increasing, and, therefore, what characterizes big data is not only the volume but also the complexity due to the heterogeneity of information that can be obtained. The fastest growth in spending on big data technologies is happening within banking, healthcare, insurance, securities and investment services, and telecommunications. Remarkably, three of those industries lie within the financial sector, which has many particularly serviceable use cases for big data analytics, such as fraud detection, risk management, and customer service optimization. In fact, the definition of big data analysis refers to the process that encompasses the gathering and analysis of big data to obtain useful information for the business. This paper focuses on delivering a short review concerning the current technologies, future perspectives, and the evaluation of some use cased associated with the analysis of big data.

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“…[18] consists of an on-board unit (OBU) system designed for vehicles, which uses the IEEE 802.11p [19] standard in agreement with Wi-Fi protocols. The IEEE 802.11p protocol is an evolution of the IEEE 802.11 family, which introduces appropriate improvements aimed at supporting intelligent transport system (ITS) applications [20][21][22][23][24]. A more detailed validation of the OBU allows the realizing of a reliable V2V and V2P communication [25,26], both concerning the package delivery speed and the average delay [27].…”

Section: Introductionmentioning

confidence: 99%

V2X Communications Applied to Safety of Pedestrians and Vehicles

Arena

Pau

Severino

2019

JSAN

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Connected cars and vehicle-to-everything (V2X) communication scenarios are attracting more researchers. There will be numerous possibilities offered by V2X in the future. For instance, in the case of vehicles that move in a column, they could react to the braking of those in front of it through the rapid information exchanges, and most chain collisions could be avoided. V2X will be desiderated for routes optimizations, travel time reductions, and accident rate decrease in cases such as communication with infrastructures, traffic information exchanges, functioning of traffic lights, possible situations of danger, and the presence of construction sites or traffic jams. Furthermore, there could be massive conversations between smartphones and vehicles performing real-time dialogues. It is relatively reasonable to expect a connection system in which a pedestrian can report its position to all surrounding vehicles. Regarding this, it is compelling to perceive the positive effects of the driver being aware of the presence of pedestrians when vehicles are moving on the roads. This paper introduces the concepts for the development of a solution based on V2X communications aimed at vehicle and pedestrian safety. A potential system architecture for the development of a real system, concerning the safety of vehicles and pedestrians, is suggested to draft some guidelines that could be followed in new applications.

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Modelling and simulation of passenger flow distribution at terminal of Catania airport

Cited by 22 publications

References 15 publications

Analysis of Pedestrian Lane Change Behavior Spectrum Based on Video Data at Ticket Gate Facilities in Subway Stations

Analysis of Pedestrian Lane Change Behavior Spectrum Based on Video Data at Ticket Gate Facilities in Subway Stations

An overview of big data analysis

V2X Communications Applied to Safety of Pedestrians and Vehicles

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