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User-centered road network traffic analysis with MobilityDB

Sakr, Mahmoud et al · RI ITBA · 2023

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"Performance indicators of road networks are a long-lasting topic of research. Existing schemes assess network properties such as the average speed on road segments and the queuing time at intersections. The increasing availability of user trajectories, collected mainly using mobile phones with a variety of applications, creates opportunities for developing user-centered performance indicators. Performing such an analysis on big trajectory data sets remains a challenge for the existing data management systems, because they lack support for spatiotemporal trajectory data. This article presents an end-to-end solution, based on MobilityDB, a novel moving object database system that extends PostgreSQL with spatiotemporal data types and functions. A new class of indicators is proposed, focused on the users' experience. The indicators address the network design, the traffic flow, and the driving comfort of the motorists. Furthermore, these indicators are expressed as analytical MobilityDB queries over a big set of real vehicle trajectories."

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APA 7

Sakr, M. E. A. (2023). User-centered road network traffic analysis with MobilityDB. https://ri.itba.edu.ar/handle/20.500.14769/4155

MLA

Sakr, Mahmoud et al. "User-centered road network traffic analysis with MobilityDB." 2023. https://ri.itba.edu.ar/handle/20.500.14769/4155.

Chicago

Sakr, Mahmoud et al. 2023. "User-centered road network traffic analysis with MobilityDB.". https://ri.itba.edu.ar/handle/20.500.14769/4155.

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Sakr, M. E. A. 2023, User-centered road network traffic analysis with MobilityDB, RI ITBA, available at: https://ri.itba.edu.ar/handle/20.500.14769/4155 [Accessed 7 Aug. 2026].

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Titolo
User-centered road network traffic analysis with MobilityDB
Autore / collaboratori
Sakr, Mahmoud et al
Editore
RI ITBA
Anno di pubblicazione
2023
ISSN
1467-9671
ISSN
1467-9671
Lingua
Inglés

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