Data Analytics for Air Travel Data: A Survey and New Perspectives

From the start, the airline industry has remarkably connected countries all over the world through rapid long-distance transportation, helping people overcome geographic barriers. Consequently, this has ushered in substantial economic growth, both nationally and internationally. The airline industry produces vast amounts of data, capturing a diverse set of information about their operations, including data related to passengers, freight, flights, and much more. Analyzing air travel data can advance the understanding of airline market dynamics, allowing companies to provide customized, efficient, and safe transportation services. Due to big data challenges in such a complex environment, the benefits of drawing insights from the air travel data in the airline industry have not yet been fully explored. This article aims to survey various components and corresponding proposed data analysis methodologies that have been identified as essential to the inner workings of the airline industry. We introduce existing data sources commonly used in the papers surveyed and summarize their availability. Finally, we discuss several potential research directions to better harness airline data in the future. We anticipate this study to be used as a comprehensive reference for both members of the airline industry and academic scholars with an interest in airline research.

PEMBINAAN PENGENALAN BASIC ENGLISH CONVERSATION AT THE AIRPORT KEPADA STAF BANDARA HANG NADIM BATAM

English is an international language which is very important for smooth bilingual interaction. Along with the times, the ability to speak English is required in all aspects of life to develop. One that is experiencing rapid development is the air transportation industry, which has a similar impact on the development of the airport aspect as a facility for providing aircraft transportation services. One of the important airports in the Riau Archipelago is Batam's Hang Nadim Airport. The airport was officially opened to the public on January 1, 1995 under the name "Hang Nadim International Airport. Since then until today, Hang Nadim airport has grown rapidly and has become one of the largest and busiest airports in Sumatra. With the rapid development of Hang Nadim Airport This, of course requires the use of an international language, namely English as the most commonly used communication medium. It has become a must for airport staff to be able to master English for the smooth operation of the technical process of aircraft and air flight systems. All airport workers are required to have good English language skills. it is appropriate to create conducive working conditions, but in reality on the ground, not all staff who work at airports have basic English skills, especially regarding the basic conversation part in English at the airport. If they are not equipped with basic English skills then they will not be able to speak English. can work optimally. Therefore, it is very important to initiate a dedication to provide a basic introduction to English for staff at Hang Nadim Airport, Batam City, Riau Islands.

Optically Transparent Tri-Wideband Mosaic Frequency Selective Surface with Low Cross-Polarisation

Acquiring an optically transparent feature on the wideband frequency selective surface (FSS), particularly for smart city applications (building window and transportation services) and vehicle windows, is a challenging task. Hence, this study assessed the performance of optically transparent mosaic frequency selective surfaces (MFSS) with a conductive metallic element unit cell that integrated Koch fractal and double hexagonal loop fabricated on a polycarbonate substrate. The opaque and transparent features of the MFSS were studied. While the study on opaque MFSS revealed the advantage of having wideband responses, the study on transparent MFSS was performed to determine the optical transparency application with wideband feature. To comprehend the MFSS design, the evolutionary influence of the unit cell on the performance of MFSS was investigated and discussed thoroughly in this paper. Both the opaque and transparent MFSS yielded wideband bandstop and bandpass responses with low cross-polarisation (−37 dB), whereas the angular stability was limited to only 25°. The transparent MFSS displayed high-level transparency exceeding 70%. Both the simulated and measured performance comparison exhibited good correlation for both opaque and transparent MFSS. The proposed transparent MFSS with wideband frequency response and low cross-polarisation features signified a promising filtering potential in multiple applications.

pShare: Privacy-Preserving Ride-Sharing System with Minimum-Detouring Route

Online ride-hailing (ORH) services allow people to enjoy on-demand transportation services through their mobile devices in a short responding time. Despite the great convenience, users need to submit their location information to the ORH service provider, which may incur unexpected privacy problems. In this paper, we mainly study the privacy and utility of the ride-sharing system, which enables multiple riders to share one driver. To solve the privacy problem and reduce the ride-sharing detouring waste, we propose a privacy-preserving ride-sharing system named pShare. To hide users’ precise locations from the service provider, we apply a zone-based travel time estimation approach to privately compute over sensitive data while cloaking each rider’s location in a zone area. To compute the matching results along with the least-detouring route, the service provider first computes the shortest path for each eligible rider combination, then compares the additional traveling time (ATT) of all combinations, and finally selects the combination with minimum ATT. We designed a secure comparing protocol by utilizing the garbled circuit, which enables the ORH server to execute the protocol with a crypto server without privacy leakage. Moreover, we apply the data packing technique, by which multiple data can be packed as one to reduce the communication and computation overhead. Through the theoretical analysis and evaluation results, we prove that pShare is a practical ride-sharing scheme that can find out the sharing riders with minimum ATT in acceptable accuracy while protecting users’ privacy.

System Optimization of Shared Mobility in Suburban Contexts

Shared mobility is a viable choice to improve the connectivity of lower-density neighbourhoods or suburbs that lack high-frequency public transportation services. In addition, its integration with new forms of powertrain and autonomous technologies can achieve more sustainable and efficient transportation. This study compares four shared-mobility technologies in suburban areas: the Internal Combustion Engine, Battery Electric, and two Autonomous Electric Vehicle scenarios, for various passenger capacities ranging from three to fifteen. The study aims to provide policymakers, transportation planners, and transit providers with insights into the potential costs and benefits as well as system configurations of shared mobility in a suburban context. A vehicle routing problem with time windows was applied using the J-Horizon software to optimize the costs of serving existing intra-community demand. The results indicate a similar fleet composition for Battery Electric and Autonomous Electric fleets. Furthermore, the resulting fleet for all four technologies is dominated by larger vehicle capacities. Due to the large share of driver cost in the total cost, the savings using a fleet of Autonomous Electric Vehicles are predicted to be 68% and 70%, respectively, compared to Internal Combustion and Battery Electric fleets.

A Network Dynamics Model for the Transmission of COVID-19 in Diamond Princess and a Response to Reopen Large-Scale Public Facilities

Background: The current epidemic of COVID-19 has become the new normal. However, the novel coronavirus is constantly mutating. In public transportation or large entertainment venues, it can spread more quickly once an infected person is introduced. This study aims to discuss whether large public facilities can be opened and operated under the current epidemic situation. Methods: The dual Barabási–Albert (DBA) model was used to build a contact network. A dynamics compartmental modeling framework was used to simulate the COVID-19 epidemic with different interventions on the Diamond Princess. Results: The effect of isolation only was minor. Regardless of the transmission rate of the virus, joint interventions can prevent 96.95% (95% CI: 96.70–97.15%) of infections. Compared with evacuating only passengers, evacuating the crew and passengers can avoid about 11.90% (95% CI: 11.83–12.06%) of infections; Conclusions: It is feasible to restore public transportation services and reopen large-scale public facilities if monitoring and testing can be in place. Evacuating all people as soon as possible is the most effective way to contain the outbreak in large-scale public facilities.

Public Passenger Transport Logistics in the Context of Digital Transformation of Transportation Services Organisation Systems

Transport route specification models are used to analyse the need for combined passenger transportation on popular routes in a large urban agglomeration. The problem of managing the travel chains of passengers using public transport (PT) is revealed with the focus on the complexity of applying the principle of multimodality on the route network used by population due to the mismatch of the schemes of transport and users’ routes.The study of the logistics of passenger transportation with PT introduces the concept of «public transport user (PTU)» which has a variable status relative to the flows of people, pedestrians, passengers, and transport vehicles. The description of the registers of the main parameters of the routes under study serves to create their digital twins.To manage the travel chains of PTUs, identify related sections of transport routes, it is proposed to highlight within the passenger flow the currents of the same profile which include PTUs that have common transport behaviour.Models and algorithms of network proximity to transport infrastructure objects, visualisation of digital traces of PTUs and the results of comparing the used and the best route options according to the modelled parameters allow to identify behavioural profiles of PTUs, as well as regulators managing the travel chains.

PENERAPAN ALGORITMA DIJKSTRA PADA APLIKASI JASA TRANSPORTASI ONLINE DI KOTA MEDAN

This study aims to determine the shortest route in the application of online transportation services which is the main attraction for entrepreneurs who want to start looking for their fortune in technology and transportation, given the enormous opportunity where the human population is very large. increased, and some human activities had to be carried out. fulfilled. Some online transportation service companies use paid features provided by Google to determine the shortest distance and route, thus costing a lot of money. In this study, to determine the shortest route on a journey, it is necessary to calculate using an algorithm method, namely the dijkstra algorithm which is an algorithm used to solve the problem of the shortest route or the shortest path from one point to another at a point. weighted graph, The distance between vertices is the weight value of each edge in the graph. A graph that has a weight must be positive (weight >= 0). Dijkstra's algorithm itself uses a greedy strategy in its operation, where in each step the chosen one with the smallest weight connects the selected node with other nodes that have not been selected. Keywords: dijkstra algorithm, online transportation service, shortest route,

Investigating commercial and convenience services installed in intermodal passenger terminals located in mid-sized European cities

The concept of intermodality has gained key importance in the sustainable mobility strategy of the European Union. In the past two decades, different types of intermodal passenger terminals (IPTs) have been built in many European cities. These facilities provide possibility for passengers to change transportation mode or route in a short time and connect long-distance transportation services with public transportation modes under one roof. IPTs, however, are more than just hubs in the transportation network, but, due to their size and special location in the city, they are landmarks of cities. In addition, IPTs host not only transportation services but also different types of commercial and convenience services used both by passengers and local people. This study focuses on classifying IPTs based on their hierarchical position in the transportation network and determining which type is the most generally located in European mid-sized cities. Then, an investigation is carried out to map those commercial and convenience services that are the most installed in such IPT types. Finally, three European IPTs located in mid-sized cities and one in a large city are analysed to reveal the similarities and differences in the commercial and convenience services they host. This study found that such commercial and convenience services are most suitable for installation in IPTs that are related to transportation services, do not require a substantial amount of space, and do not block or obstruct the movement of people. Furthermore, as a component of the comprehensive planning documentation, a preliminary commercial feasibility study should be produced for each IPT.

A Review on Cybersecurity of Cloud Computing for Supporting Connected Vehicle Applications

In an internet-of-things (IoT) environment, cloud computing is emerging as a technologically feasible and economically viable solution for supporting real-time and non-real-time connected vehicle (CV) applications due to its unlimited storage, enormous computing capabilities, and cost advantage, i.e., cloud computing costs less than owning such systems. However, maintaining cybersecurity is a major challenge in cloud-supported CV applications as it requires CVs and various transportation or non-transportation services to exchange data with the cloud via multiple wired and wireless communication networks, such as long-term evolution (LTE) and Wi-Fi. In this paper, we review the cybersecurity requirements of cloud-supported CV applications, such as confidentiality, integrity, availability, authentication, accountability, and privacy. Our review also identifies the associated cybersecurity challenges that might impact cloud-supported CV applications and corresponding solutions to these challenges. In addition, we present future research opportunities to prevent and mitigate cybersecurity issues in cloud computing for CV-related applications.