Transportation is essential for economic and social development, and vehicle flow data can be used for safety monitoring, pollution analysis, and traffic flow management. Unfortunately, traffic management and control centres do not always comply with codified standards, making it difficult to obtain up-To-date data. This paper analyses open traffic datasets and Italian public traffic data sources available online, providing a knowledge base for transportation managers and researchers. Open traffic datasets are dimensionality-reduced and clustered. An event with 209,135 visitors is used to benchmark the public data sources, the time series of traffic flows are decomposed and a regression tree is used to identify different periods. The results suggest that the available Italian sensor grid is not fine enough to identify all incoming and outgoing traffic, more infrastructure investments are required or the available measurements should be coupled with other evaluation approaches capable of extending the punctual data through mathematical means.

A Review and Analysis of Traffic Data Sources / Balugani, Elia; Marinello, Samuele; Gamberini, Rita; Butturi, Maria Angela. - 34:(2023), pp. 22-33. ( 6th International Conference on Intelligent Traffic and Transportation, ICITT 2022 Parigi 25-27 settembre 2022) [10.3233/ATDE230005].

A Review and Analysis of Traffic Data Sources

Elia Balugani
;
Samuele Marinello;Gamberini Rita;Maria Angela Butturi
2023

Abstract

Transportation is essential for economic and social development, and vehicle flow data can be used for safety monitoring, pollution analysis, and traffic flow management. Unfortunately, traffic management and control centres do not always comply with codified standards, making it difficult to obtain up-To-date data. This paper analyses open traffic datasets and Italian public traffic data sources available online, providing a knowledge base for transportation managers and researchers. Open traffic datasets are dimensionality-reduced and clustered. An event with 209,135 visitors is used to benchmark the public data sources, the time series of traffic flows are decomposed and a regression tree is used to identify different periods. The results suggest that the available Italian sensor grid is not fine enough to identify all incoming and outgoing traffic, more infrastructure investments are required or the available measurements should be coupled with other evaluation approaches capable of extending the punctual data through mathematical means.
2023
Inglese
6th International Conference on Intelligent Traffic and Transportation, ICITT 2022
Parigi
25-27 settembre 2022
https://ebooks.iospress.nl/volumearticle/62815
Advances in Intelligent Traffic and Transportation Systems
34
22
33
9781643683843
IOS Press BV
NIEUWE HEMWEG 6B, 1013 BG AMSTERDAM, NETHERLANDS
dimensionality reduction; Isomap; K-means; mobility; mobility data; regression tree; time series decomposition; traffic data; traffic flow
Balugani, Elia; Marinello, Samuele; Gamberini, Rita; Butturi, Maria Angela
Atti di CONVEGNO::Relazione in Atti di Convegno
273
4
A Review and Analysis of Traffic Data Sources / Balugani, Elia; Marinello, Samuele; Gamberini, Rita; Butturi, Maria Angela. - 34:(2023), pp. 22-33. ( 6th International Conference on Intelligent Traffic and Transportation, ICITT 2022 Parigi 25-27 settembre 2022) [10.3233/ATDE230005].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1313906
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