Simulation and prediction of public transportation with maps of local density blobs - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2019

Simulation and prediction of public transportation with maps of local density blobs

Résumé

Public transportation in urban areas is a subject that receives today considerable attention from both academic and industrial research. The main objective of the proposed approaches is to improve the public transportation system (and more specifically buses) by making it more accurate, reliable and convenient. We show that a global prediction approach, under some global macro-parameters (total number of vehicles, pedestrians...) is not feasible. This observation leads us to the introduction of a finer granularity approach, where the traffic conditions are represented in terms of maps of local density blobs. Under this new paradigm, the experimental results obtained with both linear and SVR regressors show promising prediction performances.
Fichier non déposé

Dates et versions

hal-02454636 , version 1 (24-01-2020)

Identifiants

Citer

Dancho Panovski, Veronica Scurtu, Titus Zaharia. Simulation and prediction of public transportation with maps of local density blobs. ICCE 2019: 37th International Conference on Consumer Electronics, Jan 2019, Las Vegas, United States. pp.1-4, ⟨10.1109/ICCE.2019.8661921⟩. ⟨hal-02454636⟩
11 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More