An examination of the microscopic simulation models to identify traffic safety indicators

Evaluating the safety of different traffic facilities is a complex and crucial task. Microscopic simulation models have been widely used for traffic management but have been largely neglected in traffic safety studies. Micro simulation to study safety is more ethical and accessible than the traditional safety studies, which only assess historical crash data. However, current microscopic models are unable to mimic unsafe driver behavior, as they are based on presumptions of safe driver behavior. This highlights the need for a critical examination of the current microscopic models to determine which components and parameters have an effect on safety indicator reproduction. The question then arises whether these safety indicators are valid indicators of traffic safety. The safety indicators were therefore selected and tested for straight motorway segments in Brisbane, Australia. This test examined the capability of a micro-simulation model and presents a better understanding of micro-simulation models and how such models, in particular car following models can be enriched to present more accurate safety indicators.

The influence of economic incentives linked to road safety indicators on accidents: The case of toll concessions in Spain

The goal of this paper is to evaluate whether the incentives incorporated in toll highway concession contracts in order to encourage private operators to adopt measures to reduce accidents are actually effective at improving safety. To this end, we implemented negative binomial regression models using information about highway characteristics and accident data from toll highway concessions in Spain from 2007 to 2009. Our results show that even though road safety is highly influenced by variables that are not managed by the contractor, such as the annual average daily traffic (AADT), the percentage of heavy vehicles on the highway, number of lanes, number of intersections and average speed; the implementation of these incentives has a positive influence on the reduction of accidents and injuries. Consequently, this measure seems to be an effective way of improving safety performance in road networks.

Leading Safety Indicators: Proactively Monitoring Safety Performance

Traditional measures or indicators of workplace safety performance reflect unrecognized hazards, unsafe conditions, reckless behavior, and other safety program shortcomings only after a worker is injured or falls ill. In contrast to traditional or lagging indicators, leading indicators can predict poor safety performance to ensure that safety program failings are addressed before an occupational injury or illness actually occurs. This Capstone Project identified a variety of proactive safety management practices, policies, and activities shown to have a positive impact on workplace safety as leading safety indicators. The end result is a comprehensive framework of leading safety indicators that employers can use to proactively gauge safety program performance and address unrecognized hazards, unsafe conditions, reckless behavior, and other safety program deficiencies.

Car following model improvement for traffic safety metrics reproduction

Car Following models have a critical role in all microscopic traffic simulation models. Current microscopic simulation models are unable to mimic the unsafe behaviour of drivers as most are based on presumptions about the safe behaviour of drivers. Gipps model is a widely used car following model embedded in different micro-simulation models. This paper examines the Gipps car following model to investigate ways of improving the model for safety studies application. The paper puts forward some suggestions to modify the Gipps model to improve its capabilities to simulate unsafe vehicle movements (vehicles with safety indicators below critical thresholds). The result of the paper is one step forward to facilitate assessing and predicting safety at motorways using microscopic simulation. NGSIM as a rich source of vehicle trajectory data for a motorway is used to extract its relatively risky events. Short following headways and Time To Collision are used to assess critical safety event within traffic flow. The result shows that the modified proposed car following to a certain extent predicts the unsafe trajectories with smaller error values than the generic Gipps model.

A safety adapted car following model for traffic safety studies

Traffic safety studies demand more than what current micro-simulation models can provide as they presume that all drivers exhibit safe behaviors. All the microscopic traffic simulation models include a car following model. This paper highlights the limitations of the Gipps car following model ability to emulate driver behavior for safety study purposes. A safety adapted car following model based on the Gipps car following model is proposed to simulate unsafe vehicle movements, with safety indicators below critical thresholds. The modifications are based on the observations of driver behavior in real data and also psychophysical notions. NGSIM vehicle trajectory data is used to evaluate the new model and short following headways and Time To Collision are employed to assess critical safety events within traffic flow. Risky events are extracted from available NGSIM data to evaluate the modified model against them. The results from simulation tests illustrate that the proposed model can predict the safety metrics better than the generic Gipps model. The outcome of this paper can potentially facilitate assessing and predicting traffic safety using microscopic simulation.

The development of a naturalistic car following model for assessing managed motorway systems' safety effects

This thesis highlights the limitations of the existing car following models to emulate driver behaviour for safety study purposes. It also compares the capabilities of the mainstream car following models emulating driver behaviour precise parameters such as headways and Time to Collisions. The comparison evaluates the robustness of each car following model for safety metric reproductions. A new car following model, based on the personal space concept and fish school model is proposed to simulate more precise traffic metrics. This new model is capable of reflecting changes in the headway distribution after imposing the speed limit form VSL systems. This research facilitates assessing Intelligent Transportation Systems on motorways, using microscopic simulation.

Ranking Spatial and Temporal Hotspots for Road Safety Interventions Using a Nonlinear Aggregation Approach

In recent years, the concept of a composite performance index, brought from economic and business statistics, has gained popularity in the field of road safety. The construction of the Composite Safety Performance Index (CSPI) involves the following key steps: the selection of the most appropriate indicators to be aggregated and the method used to aggregate them.

Over the last decade, various aggregation methods for estimating the CSPI have been suggested in the literature. However, recent studies indicates that most of these methods suffer from many deficiencies at both the theoretical and operational level; these include the correlation and compensability between indicators, as well as their high “degree of freedom” which enables one to readily manipulate them to produce desired outcomes.

The purpose of this study is to introduce an alternative aggregation method for the estimation of the CSPI, which is free from the aforementioned deficiencies. In contrast with the current aggregation methods, which generally use linear combinations of road safety indicators to estimate a CSPI, the approach advocated in this study is based on non-linear combinations of indicators and can be summarized into the following two main steps: the pairwise comparison of road safety indicators and the development of marginal and composite road safety performance functions. The introduced method has been successfully applied to identify and rank temporal and spatial hotspots for Northern Ireland, using road traffic collision data recorded in the UK STATs19 database. The obtained results highlight the promising features of the proposed approach including its stability and consistency, which enables significantly reduced deficiencies associated with the current aggregation methods. Progressively, the introduced method could evolve into an intelligent support system for road safety assessment.

Health and safety on construction sites in Ghana

The state of health and safety on construction sites in Ghana was investigated using first hand observation of fourteen (14) construction project sites in 2009 and 2010. At each site, the construction project, workers and the physical environment of the site were inspected and evaluated against health and safety indicators taken from the literature. The results reveal a poor state of health and safety on Ghanaian construction sites. The primary reasons are a lack of strong institutional framework for governing construction activities and poor enforcement of health and safety policies and procedures. Also, Ghanaian society does not place a high premium on health and safety of construction workers on site. Interviews with workers indicated that injuries and accidents are common on sites. However, compensation for injury is often at the discretion of the contractor although collective bargaining agreements between Labour unions and employers prescribe obligations for the contractor in the event of injury to a worker.

Microscopic cooperative traffic flow: Calibration and simulation based on a next generation simulation dataset

The deployment of new emerging technologies, such as cooperative systems, allows the traffic community to foresee relevant improvements in terms of traffic safety and efficiency. Autonomous vehicles are able to share information about the local traffic state in real time, which could result in a better reaction to the mechanism of traffic jam formation. An upstream single-hop radio broadcast network can improve the perception of each cooperative driver within a specific radio range and hence the traffic stability. The impact of vehicle to vehicle cooperation on the onset of traffic congestion is investigated analytically and through simulation. A next generation simulation field dataset is used to calibrate the full velocity difference car-following model, and the MOBIL lane-changing model is implemented. The robustness of the calibration as well as the heterogeneity of the drivers is discussed. Assuming that congestion can be triggered either by the heterogeneity of drivers' behaviours or abnormal lane-changing behaviours, the calibrated car-following model is used to assess the impact of a microscopic cooperative law on egoistic lane-changing behaviours. The cooperative law can help reduce and delay traffic congestion and can have a positive effect on safety indicators.

Impact of educational interventions on adverse drug events reporting

Spontaneous adverse drug events (ADE) reporting is the main source of data for assessing the risk/benefit of drugs available in the pharmaceutical market. However, its major limitation is underreporting, which hinders and delays the signal detection by Pharmacovigilance (PhV). To identify the techniques of educational intervention (EI) for promotion of PhV by health professionals and to assess their impact. A systematic review was performed in the PUBMED, PAHO, LILACS and EMBASE databases, from November/2011 to January/2012, updated in March/2013. The strategy search included the use of health descriptors and a manual search in the references cited by selected papers. 101 articles were identified, of which 16 met the inclusion criteria. Most of these studies (10) were conducted in European hospitals and physicians were the health professionals subjected to most EI (12), these studies lasted from one month to two years. EI with multifaceted techniques raised the absolute number, the rate of reporting related to adverse drug reactions (ADR), technical defects of health technologies, and also promoted an improvement in the quality of reports, since there was increased reporting of ADR classified as serious, unexpected, related to new drugs and with high degree of causality. Multifaceted educational interventions for multidisciplinary health teams working at all healthcare levels, with sufficient duration to reach all professionals who act in the institution, including issues related to medication errors and therapeutic ineffectiveness, must be validated, with the aim of standardizing the Good Practice of PhV and improve drug safety indicators.

Perfil microbilógico de diferentes tipos de saladas provenientes de cozinhas hospitalares

Pós-graduação em Medicina Veterinária - FMVZ

Formulación de incentivos óptimos y viables para la mejora de la seguridad vial en concesiones de carreteras

La evolución de los roles de la Administración y empresas en la prestación de servicios públicos, así como las crecientes restricciones presupuestarias para financiarlos, están propiciando una cada vez mayor utilización del sistema concesional para la financiación y gestión de carreteras. Ante esta situación, cabe cuestionarse si la regulación de las prestaciones a obtener se está introduciendo de forma adecuada en los contratos. Uno de los aspectos más relevantes en este sentido es el relacionado con la seguridad de la infraestructura, sobre el cual la empresa concesionaria tiene capacidad de actuación pero, en un sentido económico estricto, pocos incentivos para mejorarla. Todo ello a pesar de los elevados costes sociales derivados de la accidentalidad. Esta tesis analiza la idoneidad de los indicadores e incentivos de seguridad vial que se vienen aplicando en concesiones de carreteras, encontrándose una gran heterogeneidad e incluso incorrecciones técnicas en su formulación. Además se pone de manifiesto la poca vinculación que tienen con la estructura de costes y beneficios de las actuaciones de mejora de seguridad vial, por lo que su introducción en los contratos resulta anodina. Con el objeto de superar esta situación, en esta tesis se analizan en profundidad los aspectos que intervienen en la formulación de indicadores e incentivos de seguridad vial. De este análisis se deduce la ecuación que liga, por tipología de carretera, el beneficio social derivado del nivel de seguridad de la carretera y el coste para alcanzarlo. A través de esta ecuación se determina el nivel de seguridad óptimo desde el punto de vista económico‐social. La investigación continúa extrapolando métodos de la teoría microeconómica de incentivos al campo de las concesiones de carreteras, a fin de determinar la formulación del incentivo de seguridad vial teóricamente óptimo. Asimismo, la tesis toma en consideración la experiencia en la aplicación práctica de incentivos en concesiones vigentes, realizándose una propuesta para superar las controversias que se están produciendo actualmente en España. Además, se ha simulado la aplicación de la formulación propuesta a diversas concesiones con un doble objetivo: verificar la viabilidad económica de su aplicación y corroborar en qué medida se adecua mejor al óptimo económico‐social. Como resultado, se proponen un indicador y un incentivo concretos que inducen a las concesionarias a orientar su gestión hacia la consecución del nivel de seguridad vial óptimo desde el punto de vista económico‐social, todo ello dentro de un marco de viabilidad presupuestaria. Changes in the roles of Government and the Private Sector in the provision of public services along with the budget constraints to finance them are resulting in an increasing use of the concession system for financing and managing roads. Taking this into account, the question is whether the regulation of quality criteria is being properly introduced in the contracts or not. One of the most important aspects at this respect is the road safety. On the one hand, concessionaires are able to manage this aspect up to a point. On the other hand, from an strict economic point of view, they have little incentive to improve it, despite the high social costs of accidents. This thesis has analyzed the suitability of indicators and incentives usually introduced in road concession contracts, finding high heterogeneity, and even technical inaccuracies on their formulation. It has also been found the lack of connection between these incentives and the costs of measures to improve road safety, therefore they are not expected to fulfil their purpose. In order to overcome this situation, this thesis firstly analyzes in depth the issues involved in the development of road safety indicators and incentives. This analysis yields the equation which links the social benefit derived from the level of road safety and the cost to achieve it. In its turn, through this equation it is possible to meet the optimal road safety level from the socio‐economic point of view. Secondly, this thesis extrapolates microeconomic methods to the field of highway concessions, with the aim of determining the formulation of the optimal road safety incentive. Furthermore, the thesis takes into account the experience in the practical application of incentives on existing concessions, performing a proposal to settle the disputes between concessionaires and the Public Administrations. Finally, the thesis simulates the implementation of the proposed indicator and incentive to real concessions with the aim of verifying the economic feasibility of their application and confirming how they match the socio‐economic optimum. As a result, this thesis proposes an indicator and incentive that induce companies to drive the management of the concession towards achieving the optimal road safety level, all within a framework of the budgetary feasibility.

Safety culture research, lead indicators, and the development of safety effectiveness indicators in the construction sector

Construction sector application of Lead Indicators generally and Positive Performance Indicators (PPIs) particularly, are largely seen by the sector as not providing generalizable indicators of safety effectiveness. Similarly, safety culture is often cited as an essential factor in improving safety performance, yet there is no known reliable way of measuring safety culture. This paper proposes that the accurate measurement of safety effectiveness and safety culture is a requirement for assessing safe behaviours, safety knowledge, effective communication and safety performance. Currently there are no standard national or international safety effectiveness indicators (SEIs) that are accepted by the construction industry. The challenge is that quantitative survey instruments developed for measuring safety culture and/ or safety climate are inherently flawed methodologically and do not produce reliable and representative data concerning attitudes to safety. Measures that combine quantitative and qualitative components are needed to provide a clear utility for safety effectiveness indicators.

Safety effectiveness indicators project workbook

The Safety Effectiveness Indicators (SEI) Project has used extensive research to determine what safety effectiveness measures can be developed by industry, for industry use to improve its safety performance. These indicators can measure how effectively the 13 safety management tasks1 (SMTs) selected for this workbook are undertaken. Currently, positive performance indicators (PPIs) are only able to measure the number of activities undertaken. They do not provide information on whether each activity is being undertaken effectively, and therefore do not provide data which can be used by industry to target areas of focus and improvement. The initial workbook contained six SMTs, and was piloted on various construction sites during August 2008. The workbook was refined through feedback from the pilot, and 13 SMTs were used in a field trial during the months of October, November and December 2008. The project team also carried out 12 focus groups in Brisbane, Canberra, Sydney and Melbourne during April, May and June 2008, and developed an initial format of this workbook through these groups and team workshops. Simplification of the language was a recurring theme, and we have attempted to do this throughout the project. The challenge has been to ensure we keep the descriptions short, to the point and relevant to all companies, without making them too specific. The majority of the construction industry participants also requested an alteration to the scale used, so a ‘Yes’/‘No’/’Not applicable’ format is used in this workbook. This workbook, based on industry feedback, is for use on site by various construction companies and contains 13 SMTs. However, you are invited to personalise the SEI tools to better suit your individual company and workplaces.

Safety culture research, lead indicators, and the development of safety effectiveness indicators in the construction sector

Construction sector application of Lead Indicators generally and Positive Performance Indicators (PPIs) particularly, are largely seen by the sector as not providing generalizable indicators of safety effectiveness. Similarly, safety culture is often cited as an essential factor in improving safety performance, yet there is no known reliable way of measuring safety culture. This paper proposes that the accurate measurement of safety effectiveness and safety culture is a requirement for assessing safe behaviours, safety knowledge, effective communication and safety performance. Currently there are no standard national or international safety effectiveness indicators (SEIs) that are accepted by the construction industry. The challenge is that quantitative survey instruments developed for measuring safety culture and/ or safety climate are inherently flawed methodologically and do not produce reliable and representative data concerning attitudes to safety. Measures that combine quantitative and qualitative components are needed to provide a clear utility for safety effectiveness indicators.