The Use of Geolocation to Manage Passenger Mobility between Airports and Cities
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 airpo...
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2020-09-01
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Online Access: | https://www.mdpi.com/2073-431X/9/3/73 |
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doaj-9cde0c4a662341879ee8e36f6913f2e82020-11-25T02:54:22ZengMDPI AGComputers2073-431X2020-09-019737310.3390/computers9030073The Use of Geolocation to Manage Passenger Mobility between Airports and CitiesAntonio Sarasa-Cabezuelo0Department of Computer Systems and Computing. School of Computer Science, Complutensian University of Madrid, 28040 Madrid, SpainA 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.https://www.mdpi.com/2073-431X/9/3/73geolocationoptimizationApp androidMapBoxsensors |
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DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Antonio Sarasa-Cabezuelo |
spellingShingle |
Antonio Sarasa-Cabezuelo The Use of Geolocation to Manage Passenger Mobility between Airports and Cities Computers geolocation optimization App android MapBox sensors |
author_facet |
Antonio Sarasa-Cabezuelo |
author_sort |
Antonio Sarasa-Cabezuelo |
title |
The Use of Geolocation to Manage Passenger Mobility between Airports and Cities |
title_short |
The Use of Geolocation to Manage Passenger Mobility between Airports and Cities |
title_full |
The Use of Geolocation to Manage Passenger Mobility between Airports and Cities |
title_fullStr |
The Use of Geolocation to Manage Passenger Mobility between Airports and Cities |
title_full_unstemmed |
The Use of Geolocation to Manage Passenger Mobility between Airports and Cities |
title_sort |
use of geolocation to manage passenger mobility between airports and cities |
publisher |
MDPI AG |
series |
Computers |
issn |
2073-431X |
publishDate |
2020-09-01 |
description |
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. |
topic |
geolocation optimization App android MapBox sensors |
url |
https://www.mdpi.com/2073-431X/9/3/73 |
work_keys_str_mv |
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