Significance of incorporating heterogeneity in a non-continuum macroscopic model for density estimation
| Autor: | Shankar C. Subramanian, Ajitha Thankappan, Lelitha Vanajakshi |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2014 |
| Předmět: |
Mathematical optimization
Traffic congestion reconstruction with Kerner's three-phase theory TA1001-1280 Continuum (measurement) Continuum mechanics Developing countries Extended Kalman filters Analysis and modeling Density estimation Heterogeneous traffic Macroscopic model Model-based estimation Non-continuum model Passenger car unit (PCU) Traffic flow analysis Parameter estimation Computer science Mechanical Engineering extended Kalman filter non-continuum models Kalman filter Transportation engineering Extended Kalman filter Microscopic traffic flow model Traffic congestion heterogeneous traffic density estimation Automotive Engineering Econometrics macroscopic modeling Traffic generation model |
| Zdroj: | Transport, Vol 29, Iss 2 (2014) Transport; Vol 29 No 2 (2014); 125–136 |
| ISSN: | 1648-3480 1648-4142 |
| Popis: | The heterogeneity of traffic and the lack of lane discipline on the roads in India and other developing countries add complexity to the analysis and modeling of traffic. It is generally believed that it is important to take heterogeneity into account in traffic modeling. The aim of the present study is to check the validity of this assumption by analyzing the effect of incorporating heterogeneity in a macroscopic level traffic flow analysis. The application considered is real-time congestion analysis on Indian roads. Traffic density is considered as the congestion indicator. The measurement of density is difficult since it is a spatial parameter. It is usually estimated from other traffic parameters that can be readily measured using available sensors. A model-based estimation scheme using Kalman filtering has been employed to estimate traffic density. A non-continuum macroscopic model was attempted based on the lumped parameter approach. All the traffic variables were quantified without considering traffic lanes in order to take into account the lack of lane discipline. The effect of heterogeneity has been studied by incorporating static values of Passenger Car Units (PCU), dynamic values of Two Wheeler Units (TWU) and considering different classes of vehicles explicitly in the modeling process. The proposed estimation schemes without and with heterogeneity have been compared. The results have been corroborated using data collected from a road stretch in Chennai, India. The study shows that the significance of incorporating heterogeneity into the modeling of mixed traffic at the macroscopic level was not very significant. � 2014 Vilnius Gediminas Technical University (VGTU) Press. |
| Databáze: | OpenAIRE |
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