Using information collected by weigh in motion for modeling traffic structure of vehicles

• Autorzy: Smolarek L. , Ziemska M.
• Języki publikacji: EN

Abstrakty

EN

The article presents an example of a dynamic traffic flow modeling using as a data source information the measurement system weight Preselection Implemented in Gdynia. The measuring point is located on the road leading to the Gdynia container terminals and to Gdynia Kwiatkowski, which is Directly connected with the TriCity Bypass. One of the goals of the system is collect data which can be used for operational purposes and statistics. Measurement period allowed the appointment of a mathematical model which describes the dynamic variation of the structure of the stream. In Addition, an analysis of the variability of the traffic flow in both the daily and weekly basis is presented. This give possibility to determine the effect of time of day and day of the week on the parameters of a dynamic model describing the structure of a generic stream. The resulting model allows the study of the impact of the share of heavy vehicles on ride comfort of passenger cars.

Słowa kluczowe

EN

intelligent transportation system; weight-in-motion; transport modeling; dynamic model; traffic structure

PL

inteligentny system transportowy; ważenie pojazdów w ruchu; modelowanie transportu; model dynamiczny; struktura ruchu

• Wydawca: Polskie Stowarzyszenie Telematyki Transportu
• Czasopismo: Archives of Transport System Telematics
• Rocznik: 2017
• Tom: Vol. 10, iss. 4
• Strony: 32--37
• Opis fizyczny: Bibliogr. 8 poz.

Twórcy

autor

Smolarek L.

• Gdynia Maritime University, Transport and Logistic, ul. Morska 81 - 87, 81-225 Gdynia, Poland

autor

Ziemska M.

• Gdynia Maritime University, Transport and Logistic, ul. Morska 81 - 87, 81-225 Gdynia, Poland

Bibliografia

• [1] Ustawa z dania 20.06.1997. Prawo o ruchu drogowym Art. 62
• [2] GUS – „TRANSPORT Wyniki działalności w 2015r“, Warszawa 2016
• [3] MARSZAŁEK Z.: Detekcja Osi Pojazdów z użyciem pętli indukcyjnej, Zeszyty Naukowe Wydziału Elektrotechniki i Automatyki Politechniki Gdańskiej Nr 34
• [4] DANIEK S.: Inteligentny system preselekcji wagowej pojazdów na drogach ZDW Łódź jako przykład zintegrowanego systemu osłony meteorologicznej i zarządzania ruchem „SMART”
• [5] JACOB B., O’BRIEN E., JEHAES S.: Transport research COSTS 323 Weigh-in-Motion of Road Vehicles, Paris 2002
• [6] Traffic Data Collection and Analysis, Roads Department, Ministry of Works and Transport, Private Bag 0026, Gaborone, Botswana February 2004,
• [7] http://www.statgraphics.com/statisticalapplications#Transportation [date of access: 20.01.2017]
• [8] WILLIAMS B.M., LESTER A., HOEL, F.: Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results, , Journal Of Transportation Engineering c ASCE / November/December 2003