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EN
Microscopic traffic simulation models offer an effective way to analyze and assess different transportation systems thanks to their efficiency and reliability. As traffic management issues become more prevalent, notably in urban areas, simulation tools enable a significant opportunity to replicate real-world conditions before implementation. Therefore, the calibration of traffic simulation models plays a substantial role in obtaining accurate and confidential results. Nowadays, urban regions are facing the challenge of restricted space for developing traffic solutions. As a consequence of environmental restrictions, the use of mini-roundabouts rather than larger roundabouts is increasing. Based on the given literature review, it is seen that not much attention was given to the complex modeling and calibration of microsimulation models of mini-roundabouts and unsignalized intersections. The objective of this study is to offer the calibration of microscopic traffic simulation of urban road network, including closely located mini-roundabouts and unsignalized intersection. To this end, an open-source tool called SUMO (Simulation of Urban Mobility) was utilized as a simulation environment in this study. The necessary data for developing a microsimulation model in SUMO was gathered using a videography technique. The traffic count data and speed were considered performance measures between field observations and simulation outputs. The routeSampler tool of SUMO, which has recently emerged in the literature, was used to match traffic count data and the corresponding time interval for traffic volume data calibration. The calibration of car-following model parameters using a trial-and-error approach was employed based on mean absolute percent error (MAPE) between simulated speeds and field-measured speeds. According to the findings of the study, the simulation model fulfilled the calibration aims of the FHWA guideline and is suitable for further research.
EN
Vehicle emission calculation is critical for evaluating motor vehicle related environmental protection policies. Currently, many studies calculate vehicle emissions from integrating the microscopic traffic simulation model and the vehicle emission model. However, conventionally vehicle emission models are presented as a stand-alone software, requiring a laborious processing of the simulated second-by-second vehicle activity data. This is inefficient, in particular, when multiple runs of vehicle emission calculations are needed. Therefore, an integrated vehicle emission computation system is proposed around a microscopic traffic simulation model. In doing so, the relational database technique is used to store the simulated traffic activity data, and these data are used in emission computation through a built-in emission computation module developed based on the IVE model. In order to ensure the validity of the simulated vehicle activity data, the simulation model is calibrated using the genetic algorithm. The proposed system was implemented for a central urban region of Nanjing city. Hourly vehicle emissions of three types of vehicles were computed using the proposed system for the afternoon peak period, and the results were compared with those computed directly from the IVE software with a trivial difference in the results from the proposed system and the IVE software, indicating the validity of the proposed system. In addition, it was found for the study region that passenger cars are critical for controlling CO, buses are critical for controlling CO and VOC, and trucks are critical for controlling NOx and CO2. Future work is to test the proposed system in more traffic management and control strategies, and more vehicle emission models are to be incorporated in the system.
PL
Dotychczasowe prace nad modelem aglomeracji poznańskiej w MATSim ujawniły słabe punkty w podejściu do tworzenia modelu sieci dróg i jego wykorzystania w symulacji. Konieczność częstych (ręcznych) aktualizacji sieci dróg, oraz pojawianie się nierealistycznych marszrut (pominięcie większej części zakazów/nakazów ruchu) stały się powodem do zmiany podejścia. Dokonano włączenia restrykcji ruchu do modelu i automatyzacji procesu aktualizacji na podstawie danych OSM. Opracowano i zaimplementowano algorytm weryfikacji i konwersji danych na postać wymaganą przez wykorzystywane rozszerzenie MATSim Lanes. Dokonano też pełnej oceny nowego podejścia, wykazując jego wyższość. Najważniejsze aspekty tego procesu zostały przedstawione w niniejszym opracowaniu.
EN
The development of MATSim scenario for the Poznan agglomeration has revealed some weak points in so far approach to creating road network model and its use in simulation. Decision was made to change approach toward incorporating turn restrictions into model (with use of MATSim Lanes extension) and automating update process from OSM data. A special verification and conversion algorithm has been developed, implemented and assessed. The most important aspects of this process has been presented in this paper.
PL
W artykule zaprezentowano problematykę budowy i kalibracji mikroskopowego modelu całodobowej symulacji ruchu drogowego dla aglomeracji poznańskiej z wykorzystaniem systemu MATSim. Wskazano najważniejsze wyzwania wynikające z podejścia do symulacji, pozyskiwania danych i weryfikacji poprawności działania systemu. Omówiono procedurę tworzenia sieci drogowej w oparciu o cyfrowe mapy projektu OpenStreetMap (OSM). Następnie scharakteryzowano zasadnicze etapy procesu modelowania i symulacji ruchu drogowego z wykorzystaniem wieloagentowego systemu MATSim. Przedstawiono też problematykę weryfikacji modelu wraz z opracowanymi algorytmami i narzędziami. W ostatniej części artykułu zaprezentowano i omówiono przykładowe zastosowanie opracowanych rozwiązań i efekty przeprowadzonych symulacji w systemie MATSim.
EN
The article presents the issues of design and verification of a 24-hour microscopic simulation model for the Poznan agglomeration with the use of the MATSim system. Major challenges of an microscopic approach for simulation, data acquisition and validation of the system are shown. Creation of road network based on digital mapping project OpenStreetMap (OSM) and essential steps in the process of modeling and simulation of traffic using multi-agent system MATSim is described. Next, problem of verification of the model with the developed tools and procedures is discussed. The last part of the paper contains examples of the developed solutions along with simulation results obtained in the MATSim.
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