Performance evaluation of intersection warning system using a vehicle traffic and wireless simulator

Author(s):  
Y. Liu ◽  
O. Ozguner ◽  
E. Ekici
2017 ◽  
Author(s):  
Luca Piciullo ◽  
Mads-Peter Dahl ◽  
Graziella Devoli ◽  
Hervé Colleuille ◽  
Michele Calvello

Abstract. The Norwegian national landslide early warning system (LEWS), operational since 2013, is managed by the Norwegian Water Resources and Energy Directorate and has been designed for monitoring and forecasting the hydro-meteorological conditions potentially triggering slope failures. Decision-making in the EWS is based upon hazard threshold levels, hydro-meteorological and real-time landslide observations as well as on landslide inventory and susceptibility maps. In the development phase of the EWS, hazard threshold levels have been obtained through statistical analyses of historical landslides and modelled hydro-meteorological parameters. Daily hydro-meteorological conditions such as rainfall, snowmelt, runoff, soil saturation, groundwater level and frost depth have been derived from a distributed version of the hydrological HBV-model. Two different landslide susceptibility maps are used as supportive data in deciding daily warning levels. Daily alerts are issued throughout the country considering variable warning zones. Warnings are issued once per day for the following 3 days with the possibility to update them according to the information gathered by the monitoring network. The performance of the LEWS operational in Norway has been evaluated applying the EDuMaP method, which is based on the computation of a duration matrix relating landslide and warning events. This method has been principally employed to analyse the performance of regional early warning model considering fixed warning zones for issuing alerts. The original approach proposed herein allows the computation of the elements of the duration matrix in the case of early warning models issuing alerts on variable warning zones. The approach has been used to evaluate the warnings issued in Western Norway, in the period 2013–2014, considering two datasets of landslides. The results indicate that the landslide datasets do not significantly influence the performance evaluation, although a slightly better performance is registered for the smallest and more accurate dataset. Different performance results are observed as a function of the values adopted for one of the most important input parameters of EDuMaP, the landslide density criterion (i.e. setting the thresholds to differentiate among classes of landslide events). To investigate this issue, a parametric analysis has been conducted; the results of the analysis show significant differences among computed performances when absolute or relative landslide density criteria are considered.


2014 ◽  
Vol 587-589 ◽  
pp. 2076-2079
Author(s):  
Chang An Gao ◽  
Yu Ting Xie ◽  
Dong Dong Ouyang ◽  
Huan Huan Li ◽  
Gao Shen Wang

This article aims at to invent a warning system which can be used to improve the widely spread phenomenon of pedestrians and non-motorized vehicles’ traffic violation in our country. We collected data by making researches at the cross between the North and South terminal coach station of Jinan. Analysis of psychological knowledge causes pedestrian and non-motorized vehicle traffic violation are expounded in detail.


2012 ◽  
Vol 82 (3) ◽  
pp. 216-222 ◽  
Author(s):  
Venkatesh Iyengar ◽  
Ibrahim Elmadfa

The food safety security (FSS) concept is perceived as an early warning system for minimizing food safety (FS) breaches, and it functions in conjunction with existing FS measures. Essentially, the function of FS and FSS measures can be visualized in two parts: (i) the FS preventive measures as actions taken at the stem level, and (ii) the FSS interventions as actions taken at the root level, to enhance the impact of the implemented safety steps. In practice, along with FS, FSS also draws its support from (i) legislative directives and regulatory measures for enforcing verifiable, timely, and effective compliance; (ii) measurement systems in place for sustained quality assurance; and (iii) shared responsibility to ensure cohesion among all the stakeholders namely, policy makers, regulators, food producers, processors and distributors, and consumers. However, the functional framework of FSS differs from that of FS by way of: (i) retooling the vulnerable segments of the preventive features of existing FS measures; (ii) fine-tuning response systems to efficiently preempt the FS breaches; (iii) building a long-term nutrient and toxicant surveillance network based on validated measurement systems functioning in real time; (iv) focusing on crisp, clear, and correct communication that resonates among all the stakeholders; and (v) developing inter-disciplinary human resources to meet ever-increasing FS challenges. Important determinants of FSS include: (i) strengthening international dialogue for refining regulatory reforms and addressing emerging risks; (ii) developing innovative and strategic action points for intervention {in addition to Hazard Analysis and Critical Control Points (HACCP) procedures]; and (iii) introducing additional science-based tools such as metrology-based measurement systems.


Author(s):  
Carl Malings ◽  
Rebecca Tanzer ◽  
Aliaksei Hauryliuk ◽  
Provat K. Saha ◽  
Allen L. Robinson ◽  
...  

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