A robust method for real time estimation of travel times for dense urban road networks using point-to-point detectors

Data collection for the provision of real time traveller information services is a key issue, both for the travellers as well as for traffic managers. This paper presents a methodology for estimating travel times in dense urban road networks using point-to-point detectors. The aim is to fill in the...

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Main Authors: Evangelos Mitsakis, Josep Maria Salanova Grau, Evangelia Chrysohoou, Georgia Aifadopoulou
Format: Article
Language:English
Published: Vilnius Gediminas Technical University 2015-10-01
Series:Transport
Subjects:
Online Access:https://journals.vgtu.lt/index.php/Transport/article/view/1565
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author Evangelos Mitsakis
Josep Maria Salanova Grau
Evangelia Chrysohoou
Georgia Aifadopoulou
author_facet Evangelos Mitsakis
Josep Maria Salanova Grau
Evangelia Chrysohoou
Georgia Aifadopoulou
author_sort Evangelos Mitsakis
collection DOAJ
description Data collection for the provision of real time traveller information services is a key issue, both for the travellers as well as for traffic managers. This paper presents a methodology for estimating travel times in dense urban road networks using point-to-point detectors. The aim is to fill in the gap of existing travel time estimation methodologies, which are based on point-to-point detection devices. Bluetooth (BT) is considered as one of the less expensive technologies for estimating travel times. Data filtering and data correction require rigorous methodologies, which if not correctly applied may result in inaccurate results as compared to other methods. The main difficulty of data processing is to identify the correct set of Media Access Control (MAC) addresses for estimating travel times, especially in dense urban road networks, where three main error sources exist: the co-existence of various transport modes (private vehicles, buses, pedestrians, bicycles etc.), the existence of more than one possible paths between two BT detectors and the existence of stops or trips ending between two BT detectors. These error sources create outliers that need to be identified and taken into account. The results of the proposed methodology confirm that outliers are eliminated, as shown by a case study with 10 BT detectors installed at major intersections of Thessaloniki’s Central Business District (CBD).
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spelling doaj.art-b97762813e34412498608bb9cd3f57ca2022-12-21T23:18:28ZengVilnius Gediminas Technical UniversityTransport1648-41421648-34802015-10-0130310.3846/16484142.2015.1078845A robust method for real time estimation of travel times for dense urban road networks using point-to-point detectorsEvangelos Mitsakis0Josep Maria Salanova Grau1Evangelia Chrysohoou2Georgia Aifadopoulou3Centre for Research and Technology Hellas (CERTH), Hellenic Institute of Transport, Thessaloniki, GreeceCentre for Research and Technology Hellas (CERTH), Hellenic Institute of Transport, Thessaloniki, GreeceCentre for Research and Technology Hellas (CERTH), Hellenic Institute of Transport, Thessaloniki, GreeceCentre for Research and Technology Hellas (CERTH), Hellenic Institute of Transport, Thessaloniki, GreeceData collection for the provision of real time traveller information services is a key issue, both for the travellers as well as for traffic managers. This paper presents a methodology for estimating travel times in dense urban road networks using point-to-point detectors. The aim is to fill in the gap of existing travel time estimation methodologies, which are based on point-to-point detection devices. Bluetooth (BT) is considered as one of the less expensive technologies for estimating travel times. Data filtering and data correction require rigorous methodologies, which if not correctly applied may result in inaccurate results as compared to other methods. The main difficulty of data processing is to identify the correct set of Media Access Control (MAC) addresses for estimating travel times, especially in dense urban road networks, where three main error sources exist: the co-existence of various transport modes (private vehicles, buses, pedestrians, bicycles etc.), the existence of more than one possible paths between two BT detectors and the existence of stops or trips ending between two BT detectors. These error sources create outliers that need to be identified and taken into account. The results of the proposed methodology confirm that outliers are eliminated, as shown by a case study with 10 BT detectors installed at major intersections of Thessaloniki’s Central Business District (CBD).https://journals.vgtu.lt/index.php/Transport/article/view/1565travel time estimationBluetooth detectorspoint-to-point detectorsadvanced traveller information servicestravel time estimation reliability
spellingShingle Evangelos Mitsakis
Josep Maria Salanova Grau
Evangelia Chrysohoou
Georgia Aifadopoulou
A robust method for real time estimation of travel times for dense urban road networks using point-to-point detectors
Transport
travel time estimation
Bluetooth detectors
point-to-point detectors
advanced traveller information services
travel time estimation reliability
title A robust method for real time estimation of travel times for dense urban road networks using point-to-point detectors
title_full A robust method for real time estimation of travel times for dense urban road networks using point-to-point detectors
title_fullStr A robust method for real time estimation of travel times for dense urban road networks using point-to-point detectors
title_full_unstemmed A robust method for real time estimation of travel times for dense urban road networks using point-to-point detectors
title_short A robust method for real time estimation of travel times for dense urban road networks using point-to-point detectors
title_sort robust method for real time estimation of travel times for dense urban road networks using point to point detectors
topic travel time estimation
Bluetooth detectors
point-to-point detectors
advanced traveller information services
travel time estimation reliability
url https://journals.vgtu.lt/index.php/Transport/article/view/1565
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