The public transportation represents the ideal solution that can be offered with the purpose of satisfying the mobility request through an urban area. A highly organized and efficient public transportation system which offers adequate movement possibilities, in a short time and through high safety and comfort conditions, forms the basis of an urban transportation system that improves the sustainable development of a urban area. Over this paperwork it is going to be estimated the optimization effects of the Pitesti urban transportation system, and even more, it is going to be established the „translation” way of the different improvements for the public transportation system as input data into the urban transport model. In this way it will be shown how the renewal of the vehicles and the modernization of the bus stations could get to the increasing of the urban transport share, thus succeeding the decrease of the own vehicles transport. As a consequence, through the private vehicles movements decrease it is get, in the end, a fuel consumption and gas emissions reduction, in the same time resulting a high traffic performance both for the public transportation and for the own private vehicle transportation
The impact of a new bridge over the Danube was estimated using a 3-step road transport model, as at the time no multimodal model was available. Different forecasts have been considered for both scenarios without the project and with the project. Also, sensitivity tests have been carried out in order to assess the impact of various bridge tolls. At the end, time savings and emissions have been estimated.
The balance between city development, as, for example, an increasing number of working places and emissions control, is a challenge in our days in the urban environment. All new developments in the urban area, either commercial, office or residential, will generate a specific demand for mobility. This new demand will put supplementary pressure on the urban transport system in the influence area. Therefore, approaching it from a macro to micro dimension using transport models would be a benefit for both, as optimizing the traffic control in main junctions in the area of the development will reduce the traffic congestion and delays. The paper deals with effects on reducing fuel consumption and emissions as an effect of optimization of traffic control in main junctions in the areas of new developments.
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