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Pregled bibliografske jedinice broj: 1113407

Estimating congestion zones and travel time indexes based on the floating car data


Erdelić, Tomislav; Carić, Tonči; Erdelić, Martina; Tišljarić, Leo; Turković, Ana; Jelušić, Niko
Estimating congestion zones and travel time indexes based on the floating car data // Computers environment and urban systems, 87 (2021), 101604, 17 doi:10.1016/j.compenvurbsys.2021.101604 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 1113407 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Estimating congestion zones and travel time indexes based on the floating car data

Autori
Erdelić, Tomislav ; Carić, Tonči ; Erdelić, Martina ; Tišljarić, Leo ; Turković, Ana ; Jelušić, Niko

Izvornik
Computers environment and urban systems (0198-9715) 87 (2021); 101604, 17

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Floating car data ; Speed profiles ; Congestion zones ; Time-varying Travel Time Indexes

Sažetak
Efficiently predicting traffic congestion benefits various traffic stakeholders, from regular commuters and logistic operators to urban planners and responsible authorities. This study aims to give a high-quality estimation of traffic conditions from a large historical Floating Car Data (FCD) with two main goals: (i) estimation of congestion zones on a large road network, and (ii) estimation of travel times within congestion zones in the form of the time-varying Travel Time Indexes (TTIs). On the micro level, the traffic conditions, in the form of speed profiles were mapped to links in the road network. On the macro level, the observed area was divided into a fine-grained grid and represented as an image where each pixel indicated congestion intensity. Spatio-temporal characteristics of congestion zones were determined by morphological closing operation and Monte Carlo simulation coupled with temporal clustering. As a case study, the road network in Croatia was selected with spatio-temporal analysis differentiating between the summer season and the rest of the year season. To validate the proposed approach, three comparisons were conducted: (i) comparison to real routes' travel times driven in a controlled manner, (ii) comparison to historical trajectory dataset, and (iii) comparison to the state-of- the-art method. Compared to the real measured travel times, using zone's time-varying TTIs for travel time estimation resulted in the mean relative percentage error of 4.13%, with a minor difference to travel times estimated on the micro level, and a significant improvement compared to the current Croatian industrial navigation. The results support the feasibility of estimating congestion zones and time-varying TTIs on a large road network from FCD, with the application in urban planning and time- dependent routing operations due to: significant reduction in the data volume without notable quality loss, and meaningful reduction in the pre-processing computation time.

Izvorni jezik
Engleski

Znanstvena područja
Tehnologija prometa i transport



POVEZANOST RADA


Projekti:
IP-2018-01-8323 - Adaptivno i prediktivno upravljanje utičnim hibridnim električnim vozilima (ACHIEVE) (Deur, Joško, HRZZ - 2018-01) ( POIROT)
KK.01.1.1.01.0009 - Napredne metode i tehnologije u znanosti o podatcima i kooperativnim sustavima (EK )

Ustanove:
Fakultet prometnih znanosti, Zagreb

Citiraj ovu publikaciju

Erdelić, Tomislav; Carić, Tonči; Erdelić, Martina; Tišljarić, Leo; Turković, Ana; Jelušić, Niko
Estimating congestion zones and travel time indexes based on the floating car data // Computers environment and urban systems, 87 (2021), 101604, 17 doi:10.1016/j.compenvurbsys.2021.101604 (međunarodna recenzija, članak, znanstveni)
Erdelić, T., Carić, T., Erdelić, M., Tišljarić, L., Turković, A. & Jelušić, N. (2021) Estimating congestion zones and travel time indexes based on the floating car data. Computers environment and urban systems, 87, 101604, 17 doi:10.1016/j.compenvurbsys.2021.101604.
@article{article, year = {2021}, pages = {17}, DOI = {10.1016/j.compenvurbsys.2021.101604}, chapter = {101604}, keywords = {Floating car data, Speed profiles, Congestion zones, Time-varying Travel Time Indexes}, journal = {Computers environment and urban systems}, doi = {10.1016/j.compenvurbsys.2021.101604}, volume = {87}, issn = {0198-9715}, title = {Estimating congestion zones and travel time indexes based on the floating car data}, keyword = {Floating car data, Speed profiles, Congestion zones, Time-varying Travel Time Indexes}, chapternumber = {101604} }
@article{article, year = {2021}, pages = {17}, DOI = {10.1016/j.compenvurbsys.2021.101604}, chapter = {101604}, keywords = {Floating car data, Speed profiles, Congestion zones, Time-varying Travel Time Indexes}, journal = {Computers environment and urban systems}, doi = {10.1016/j.compenvurbsys.2021.101604}, volume = {87}, issn = {0198-9715}, title = {Estimating congestion zones and travel time indexes based on the floating car data}, keyword = {Floating car data, Speed profiles, Congestion zones, Time-varying Travel Time Indexes}, chapternumber = {101604} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Social Science Citation Index (SSCI)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


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