Open data from taxis and Bluetooth detectors to extract congestion and mobility patterns in Thessaloniki

Thessaloniki hosts one of the largest mobility living labs in Europe, aiming at fostering innovation to the mobility sector. Data is a key aspect of the living lab, allowing to depict mobility and congestion patterns to better manage traffic and support decision making. Most of the public and privat...

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Main Authors: Georgia Ayfantopoulou, Josep Maria Salanova Grau, Panagiotis Tzenos, Athanasios Tolikas
Format: Article
Language:English
Published: Elsevier 2023-04-01
Series:Data in Brief
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340923000173
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author Georgia Ayfantopoulou
Josep Maria Salanova Grau
Panagiotis Tzenos
Athanasios Tolikas
author_facet Georgia Ayfantopoulou
Josep Maria Salanova Grau
Panagiotis Tzenos
Athanasios Tolikas
author_sort Georgia Ayfantopoulou
collection DOAJ
description Thessaloniki hosts one of the largest mobility living labs in Europe, aiming at fostering innovation to the mobility sector. Data is a key aspect of the living lab, allowing to depict mobility and congestion patterns to better manage traffic and support decision making. Most of the public and private stakeholders of the Thessaloniki mobility eco-system are part of the living lab and provide real-time data to the host of the living lab (CERTH-HIT), receiving added-value services from their participation. Thus, structured and unstructured Transportation and Mobility related datasets generated by various both conventional and innovative data sources, namely floating taxis and Bluetooth detectors, are being processed into “Thessaloniki's Smart Mobility Living Lab”, the data analysis and modelling laboratory of the Hellenic Institute of Transport (HIT). As most datasets are usually generated by high-rate and high-density machines, an intricate and efficient back-end pipeline is in place to ensure the proper collection, transformation, combination, and processing of such datasets in almost real time. In addition, many static datasets are kept and updated regularly.
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spelling doaj.art-7f5bbce5784149008a7bbb57284a229f2023-03-18T04:41:30ZengElsevierData in Brief2352-34092023-04-0147108899Open data from taxis and Bluetooth detectors to extract congestion and mobility patterns in ThessalonikiGeorgia Ayfantopoulou0Josep Maria Salanova Grau1Panagiotis Tzenos2Athanasios Tolikas3Centre for Research and Technology Hellas – CERTH, Hellenic Institute of Transport (HIT), 6th km Charilaou-Thermi Rd Thermi, Thessaloniki 57001, GreeceCentre for Research and Technology Hellas – CERTH, Hellenic Institute of Transport (HIT), 6th km Charilaou-Thermi Rd Thermi, Thessaloniki 57001, GreeceCentre for Research and Technology Hellas – CERTH, Hellenic Institute of Transport (HIT), 6th km Charilaou-Thermi Rd Thermi, Thessaloniki 57001, GreeceCorresponding author.; Centre for Research and Technology Hellas – CERTH, Hellenic Institute of Transport (HIT), 6th km Charilaou-Thermi Rd Thermi, Thessaloniki 57001, GreeceThessaloniki hosts one of the largest mobility living labs in Europe, aiming at fostering innovation to the mobility sector. Data is a key aspect of the living lab, allowing to depict mobility and congestion patterns to better manage traffic and support decision making. Most of the public and private stakeholders of the Thessaloniki mobility eco-system are part of the living lab and provide real-time data to the host of the living lab (CERTH-HIT), receiving added-value services from their participation. Thus, structured and unstructured Transportation and Mobility related datasets generated by various both conventional and innovative data sources, namely floating taxis and Bluetooth detectors, are being processed into “Thessaloniki's Smart Mobility Living Lab”, the data analysis and modelling laboratory of the Hellenic Institute of Transport (HIT). As most datasets are usually generated by high-rate and high-density machines, an intricate and efficient back-end pipeline is in place to ensure the proper collection, transformation, combination, and processing of such datasets in almost real time. In addition, many static datasets are kept and updated regularly.http://www.sciencedirect.com/science/article/pii/S2352340923000173Floating car dataBluetooth detections dataTraffic statusRoute travel timeRoad link speed
spellingShingle Georgia Ayfantopoulou
Josep Maria Salanova Grau
Panagiotis Tzenos
Athanasios Tolikas
Open data from taxis and Bluetooth detectors to extract congestion and mobility patterns in Thessaloniki
Data in Brief
Floating car data
Bluetooth detections data
Traffic status
Route travel time
Road link speed
title Open data from taxis and Bluetooth detectors to extract congestion and mobility patterns in Thessaloniki
title_full Open data from taxis and Bluetooth detectors to extract congestion and mobility patterns in Thessaloniki
title_fullStr Open data from taxis and Bluetooth detectors to extract congestion and mobility patterns in Thessaloniki
title_full_unstemmed Open data from taxis and Bluetooth detectors to extract congestion and mobility patterns in Thessaloniki
title_short Open data from taxis and Bluetooth detectors to extract congestion and mobility patterns in Thessaloniki
title_sort open data from taxis and bluetooth detectors to extract congestion and mobility patterns in thessaloniki
topic Floating car data
Bluetooth detections data
Traffic status
Route travel time
Road link speed
url http://www.sciencedirect.com/science/article/pii/S2352340923000173
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