The Use of Geolocation to Manage Passenger Mobility between Airports and Cities

Abstract

A general problem in large cities is mobility. Every day, there are incidents (accidents, construction, or meteorological events) that increase the duration of the journeys in a city and exert negative effects on the lives of citizens. A particular case of this situation is communications with airports. Shuttles are a type of private transport service that operates in airports. The number of passengers carried by shuttles is small. Moreover, shuttles transport passengers to their final destinations and their prices are more competitive than those other private services. However, shuttle services have a limitation with respect to their routes due to the many different destinations of passengers. For this reason, it is important to be able to calculate the best route to optimize the journey. This work presents an Android application that implements a value-added service to plan the route of a shuttle and manage its service (passengers, journeys, routes, etc.). This application combines information from different sources, such as geolocation information from the shuttle driver’s mobile phone, information on the passengers, and results obtained from the service offered by MapBox to calculate the optimized route between several destinations.

Geolocation data incorporation in Mapbox for comprehensive mapping of tourism areas on Lombok Island

“…The next research is a study conducted by Cabezuelo in 2020 which discusses the use of geolocation in organising passengers from the Airport to the City. This research combines geolocation information obtained from the user's device with the results obtained from the Mapbox service to calculate the optimal route between several destinations [13]. And there are still many other studies such as research by Sunarto and Noviawan in 2022 [14], Febrian and Nasir in 20221 [15], Suwanti and Usman in 2021 [16], Hidayat and Harjanta in 2019 [17], Hardiyanto and Airlangga in 2021 [18] and others.…”