|
|
|
|
|
Weiying Wang and Toshihiro Osaragi
The generation and prediction of daily human mobility patterns have raised significant interest in many scientific disciplines. Using various data sources, previous studies have examined several deep learning frameworks, such as the RNN and GAN, to synth...
ver más
|
|
|
|
|
|
|
|
|
Mohammed Bellaj, Najib Naja and Abdellah Jamali
Named Data Networking (NDN) has emerged as a promising architecture to overcome the limitations of the conventional Internet Protocol (IP) architecture, particularly in terms of mobility, security, and data availability. However, despite the advantages i...
ver más
|
|
|
|
|
|
|
|
|
Afzaal Hassan, Mark Wallace, Irene Moser and Daniel D. Harabor
Ridesharing effectively tackles urban mobility challenges by providing a service comparable to private vehicles while minimising resource usage. Our research primarily concentrates on dynamic ridesharing, which conventionally involves connecting drivers ...
ver más
|
|
|
|
|
|
|
|
|
Rachid Belaroussi, Elie Issa, Leonardo Cameli, Claudio Lantieri and Sonia Adelé
Human impression plays a crucial role in effectively designing infrastructures that support active mobility such as walking and cycling. By involving users early in the design process, valuable insights can be gathered before physical environments are co...
ver más
|
|
|
|
|
|
|
|
|
Antonella Nardin and Fabio D?Andreagiovanni
Electric scooter sharing mobility services have recently spread in major cities all around the world. However, the bad parking behavior of users has become a major source of issues, provoking accidents and compromising urban decorum of public areas. Redu...
ver más
|
|
|
|