1,530,220 research outputs found

    A decision support system for road safety analysis

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    The aim of this paper is to develop a procedure for supporting public administrations in planning safety interventions on the road network. Road safety conditions depend on several factors, represented by a variety of quantitative and qualitative data, including: number of traffic accidents, traffic flow, lane width, shoulder width, road curvature and grade, access-point density, road markings and road signs (Mooren et al., 2012; OECD, 2002). By analysing a set of given roads or different sections of the same road, each with specific safety conditions, this methodology allows to determine which sections require interventions to improve safe driving conditions. Specifically, the multicriteria analysis technique is used in decision-making processes to support the choice among different alternatives in complex problems (Fadda, 2002). Among the different multicriteria techniques available, the Concordance Analysis will be used here. This paper proposes a unique modelling tool that incorporates the different indicators to calculate safety conditions. The methodology has been applied to a real case study for evaluating road safety on sections of a motorway infrastructur

    Integrated Road Safety Approach Towards Safer Road in Indonesia

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    Safer road is a global issue in the world. Regarding road conditions, traffic conditions, and accident rate in developing countries, including Indonesia, safer road is crucial. Furthermore, the problem is worse because of a number of reasons i.e. data of road geometric, road pavement surface, road furniture conditions, and traffic accident are not well recorded, difference available recorded data among institutions, and beginning level of intelligent transportation systems implementation. Moreover, to reach safer road, all stakeholders involved (road authorities, industries, experts, road users) should work together. In order to reach integrated road safety approach, the aims of this study are to determine steps to decrease number and severity of traffic accident before, during, and after accident occur, and then to recommend road safety scheme towards safer road in Indonesia. Sustainable and consistent implementation of steps and road safety scheme leads to significant improvement of safer road in Indonesia. Keywords: safer road, accident rate, traffic accident, traffic condition Jalan berkeselamatan merupakan isu global di dunia. Terkait dengan kondisi jalan, kondisi lalu lintas, dan tingkat kecelakaan di negara-negara berkembang, termasuk di Indonesia, jalan yang lebih aman sangat penting. Selain itu permasalahan lebih diperburuk oleh beberapa alasan, yaitu data geometrik jalan, kondisi permukaan perkerasan jalan, kondisi perlengkapan jalan, data kecelakaan lalulintas yang tidak tercatat dengan baik, perbedaan data yang tercatat di institusi-institusi terkait, dan implementasi sistem transportasi cerdas baru pada tahap awal. Untuk mencapai jalan yang berkeselamatan semua pemangku kepentingan yang terlibat (otoritas jalan, industri, ahli, pengguna jalan) harus bekerja sama. Dengan memperhatikan pendekatan keselamatan jalan terpadu, tujuan penelitian ini adalah menentukan langkah-langkah untuk mengurangi jumlah dan tingkat keparahan kecelakaan sebelum, selama, dan setelah kecelakaan terjadi serta merekomendasikan skema keselamatan jalan menuju jalan yang lebih aman di Indonesia. Keberkelanjutan dan penerapan yang konsisten langkah-langkah dan skema keselamatan jalan akan menghasilkan perbaikan yang signifikan akan jalan berkeselamatan di Indonesia. Kata

    CommuniSense: Crowdsourcing Road Hazards in Nairobi

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    Nairobi is one of the fastest growing metropolitan cities and a major business and technology powerhouse in Africa. However, Nairobi currently lacks monitoring technologies to obtain reliable data on traffic and road infrastructure conditions. In this paper, we investigate the use of mobile crowdsourcing as means to gather and document Nairobi's road quality information. We first present the key findings of a city-wide road quality survey about the perception of existing road quality conditions in Nairobi. Based on the survey's findings, we then developed a mobile crowdsourcing application, called CommuniSense, to collect road quality data. The application serves as a tool for users to locate, describe, and photograph road hazards. We tested our application through a two-week field study amongst 30 participants to document various forms of road hazards from different areas in Nairobi. To verify the authenticity of user-contributed reports from our field study, we proposed to use online crowdsourcing using Amazon's Mechanical Turk (MTurk) to verify whether submitted reports indeed depict road hazards. We found 92% of user-submitted reports to match the MTurkers judgements. While our prototype was designed and tested on a specific city, our methodology is applicable to other developing cities.Comment: In Proceedings of 17th International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI 2015

    The effects of peer influence on adolescent pedestrian road-crossing decisions

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    Objective: Adolescence is a high-risk period for pedestrian injury. It is also a time of heightened susceptibility to peer influence. The aim of this research was to examine the effects of peer influence on the pedestrian road-crossing decisions of adolescents. Methods: Using 10 videos of road-crossing sites, 80 16- to 18-year-olds were asked to make pedestrian road-crossing decisions. Participants were assigned to one of 4 experimental conditions: negative peer (influencing unsafe decisions), positive peer (influencing cautious decisions), silent peer (who observed but did not comment), and no peer (the participant completed the task alone). Peers from the adolescent’s own friendship group were recruited to influence either an unsafe or a cautious decision. Results: Statistically significant differences were found between peer conditions. Participants least often identified safe road-crossing sites when accompanied by a negative peer and more frequently identified dangerous road-crossing sites when accompanied by a positive peer. Both cautious and unsafe comments from a peer influenced adolescent pedestrians’ decisions. Conclusions: These findings showed that road-crossing decisions of adolescents were influenced by both unsafe and cautious comments from their peers. The discussion highlighted the role that peers can play in both increasing and reducing adolescent risk-taking

    Road and Maritime Transport Costs: A Comparative Analysis of Spanish Exports to Poland and Turkey

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    In this paper, we analyze the determinants of maritime and road transport costs for Spanish exports to Poland and Turkey and investigate the different effects of these costs on international trade. First, we investigate the extent to which maritime and road transport costs depend on different factors such as unit values, distances, transport conditions, service structures, and service quality. Second, we analyze the relative importance of road and maritime transport costs as determinants of trade flows. The data on transport costs are drawn from a new database compiled from primary data sources. The main results of this investigation identify the central variables influencing road and maritime transportation costs: for both modes, transport conditions are strong determinants, whereas efficiency and service quality are more important for maritime transport costs, and geographical distance is more important for road transport. Road and maritime transport costs are important explanatory factors of exports and they seem to deter trade to a greater extent than road or maritime transit time when considered endogenously determined.Transport costs, transport mode, Spanish exports, international trade

    Noise event measures for road traffic

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    How should noise events in road traffic noise be measured? This paper reports the performance of a set of algorithms that detect noise events in time histories of road traffic noise in the population of acoustic conditions found near roadways. The latter was obtained through simulation of 500 different road traffic noise time histories using a comprehensive range of traffic flow, traffic composition, and propagation distance, conditions in unshielded locations near roadways. The initial set of algorithms tested was developed by systematically expanding on threshold-based algorithms described in the literature, then excluding those that were unreliable. The finding was that the NA50 and NA55 (detecting when road traffic noise exceeded 50 dB and 55 dB respectively), and the NAL50E10 (detecting when the traffic levels exceeded L50 + 10 dB) can all be considered for practical application as event detection indicators. All apply to measurement of indoor events with the windows of the dwelling open. The primary criterion for selection as supplementary indicators (and others in the same clusters that could substitute for them) was their non-monotonic relationship with the LAeq, The traffic and distance conditions under which these event-based measures could potentially be useful supplementary indicators is identified.Griffith Sciences, Griffith School of EnvironmentFull Tex

    Study of vibration and its effect on health of the motorcycle rider

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    The motorcycle riders are subjected to extreme vibrations due to the vibrations of its engine, improper structural design of the motorcycle and the bad road conditions. The literature review reveals that the vibrations are most hazardous to the health if it exceeds the limit. The experiments were conducted to measure the magnitude of the vibrations acting on the rider during motorcycle riding under various road conditions. Experimental values of accelerations and frequencies which are beyond permissible limits according to the literature confirm that vibration certainly affects health of the motorcycle rider
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