The impact of risk associated with traffic is rarely included in the evaluation of projects for increasing urban traffic fluency, although the social costs of traffic crashes are estimated as very high. Lately, more frequently, the risk associated with urban road traffic is included, as a supplementary criterion, in the selection of the best urban planning scenarios, in order to a-priory minimize the number of crashes. Therefore, we aim to develop tools to enable the analysis of different intrinsic factors (characteristics of urban area and of road network) on traffic safety performances. The paper presents an analysis of the traffic crashes registered in Bucharest in the period [2008][2009][2010][2011][2012][2013][2014]. Following the analysis, the highest values of the average number of crashes were identified for signalized intersections that include tram infrastructure. Hence, the study is continued for this category of network features for which a model to estimate traffic crashes is proposed.
This paper presents effective and efficient solutions for components of urban logistics. The specificity of such logistics and the multiple limitations led to particular solutions. However, they all share one common feature—the flow consolidation in different variants. This study considers the flow consolidation at the boundary of urban congested areas, through horizontal collaboration between logistic platforms. This way, the urban distribution centers (UDCs) receive all the goods according to the orders addressed to each producer (or group in case of “on-going consolidations”). Deliveries are addressed to a single logistic platform. Thus, the flow consolidation is achieved. Each logistic platform receives part of the consumer goods intended for commercialization, but through collaboration between them (freight exchanges), all the warehouses of the producers have all the ordered goods. Dedicated management of logistics platforms and warehouses within each UDC ensures the confidentiality of distributor data. Three scenarios are presented concerning the same pattern of flow addressed to each UDC. These scenarios differ by the accessibility of the logistics platforms and by the connection between them (due to infrastructure development). The methodology of choosing the variants for composing the flow sent from each logistics platform considered the minimization of transfer times to UDC warehouses. Synthetic indicators allow for comparison between the analyzed scenarios.
The state of road accidents in Romania, especially in urban areas, underlines the need for research on identifying the appropriate measures for road safety enhancement. In this paper we present the results of research on road safety, specific to urban areas and to Bucharest City. The first part of the paper describes the structure of the model developed for evaluation of road safety performances in urban areas for different traffic intensity patterns. The initial level of modelling includes procedures for the representation of the macroscopic urban road network, starting from the representation of the digital urban area, with junctions and street sections classified according to their capacity and functionality. The second level of the model contains functions for estimating the safety performance of the urban transport network. Each category of elements with low safety performance is analysed, taking into account the physical network characteristics, the traffic flow intensity and accidents statistics. The second part of the paper presents the definition and calibration of the safety performance function for sections of the urban road network from Bucharest. The set of defined safety performance functions will be a useful tool for identifying the possible solutions and measures for safety enhancement.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.