Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
Permanent URI for this collectionhttps://hdl.handle.net/11147/7148
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Conference Object Citation - WoS: 2Citation - Scopus: 2Contribution of the Personal Rapid Transit (prt) Systems To the Road Safety: a Scenario-Based Comparative Evaluation(Hong Kong Society for Transportation Studies, 2012) Duvarcı, Yavuz; Akpınar, Figen; Akpınar, Figen; Duvarcı, Yavuz; 02.03. Department of City and Regional Planning; 02. Faculty of Architecture; 01. Izmir Institute of TechnologyThough the number of "real ground" PRT projects are few, it can be possible to deduce some hypothetical safety conclusions. For the very optimist assumption that the control algorithms will only "allow" them to operate in non-collision mode on the network, the safety figures are re-evaluated for two urban settings: First (1) is the case where the urban design was fully recreated based on PRT system. The other (2) is the hypothetical PRT system would be embedded into the existing transportation system. The two cases of the safety measures and cost figures are compared to evaluate the opportunities and pitfalls by the application of a PRT system via the scenario analysis. By doing so, after description of the present situation, there comes the construction of possible alternative futures to compare with the present one. It can be deduced that, even if the safety figures of PRT system are hypothetical, PRT-based urban environments promise a lot in terms of safety levels (as far as 80 per cent) with, however, the expense of financial burden for the local government. Yet, for low-cost solution, PRT-embedded urban environments also provide promising results compared to "doing nothing" as far as 30 per cent reductions, in accidents in total and 44 per cent in deaths.Conference Object A Data Coding and Screening System for Accident Risk Patterns: A Learning System(WITPress, 2011) Geçer Sargın, Feral; Geçer Sargın, Feral; İnan, Emrah; Duvarcı, Yavuz; İnan, E.; Geçer Sargın, Feral; Kumova, Bora İsmail; Duvarcı, Yavuz; Atay Kaya, İlgi; Atay Kaya, İlgi; 02.03. Department of City and Regional Planning; 03.04. Department of Computer Engineering; 03. Faculty of Engineering; 02. Faculty of Architecture; 01. Izmir Institute of TechnologyAccidents on urban roads can occur for many reasons, and the contributing factors together pose some complexity in the analysis of the casualties. In order to simplify the analysis and track changes from one accident to another for comparability, an authentic data coding and category analysis methods are developed, leading to data mining rules. To deal with a huge number of parameters, first, most qualitative data are converted into categorical codes (alpha-numeric), so that computing capacity would also be increased. Second, the whole data entry per accident are turned into ID codes, meaning each crash is possibly unique in attributes, called 'accident combination', reducing the large number of similar value accident records into smaller sets of data. This genetical code technique allows us to learn accident types with its solid attributes. The learning (output averages) provides a decision support mechanism for taking necessary cautions for similar combinations. The results can be analyzed by inputs, outputs (attributes), time (years) and the space (streets). According to Izmir's case results; sampled data and its accident combinations are obtained for 3 years (2005 - 2007) and their attributes are learned. © 2011 WIT Press.