A strong monitoring system of road safety in a city is necessary to ensure that the strategies implemented will meet stated targets at city and national levels. Although road safety performance is a result of many key indicators, only a few of these indicators are generally considered in monitoring the performance of road safety in a city and in comparison to other cities. A number of monitoring systems are already being developed and used in road safety and they range from relatively simple models to highly complex ones depending on the number of indicators involved, details of data and complexity of methods used in calculations and analysis. In road safety, there are three main types of monitoring that are generally used, which are: Process Monitoring, Outcome Monitoring and Target Monitoring. The aim of this paper is to provide the importance and usefulness of having a fourth type of monitoring, so-called Integrated Monitoring, that links process, outcome and targets together. The paper also provides a conceptual overview, and illustrations that are used in the construction of the integrated monitoring system.
Street lighting systems are very important in terms of traffic safety and energy saving. For the purpose of energy saving, new technologies of street lighting have been developed last decade and implemented in several cities worldwide. The most common of new technologies, with most potential of energy saving, are Light Emission Diodes (LED) and Adaptive Lighting Systems (ALS). The impact of these new technologies on road accidents is not well examined yet. This study attempts to evaluate the traffic safety impact and traffic risk of these technologies on road users, mainly drivers and pedestrians. Since the new lighting technologies have been recently tested and applied, the safety impact of them on road users could not be evaluated through direct measures of traffic safety e.g. before/after accident rates. Therefore, this study aims to create a new conceptual framework by introducing some indirect safety measures (e.g. speeding profile, behavior adaptation, traffic conflict, jerky driving and visibility of pedestrians) and presenting relevant performance indicators for future experimental design.
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