XVIe CONGRÈS MONDIAL DE LA VIABILITÉ HIVERNALE ET DE LA RÉSILIENCE ROUTIÈRE
Actes du congrès

3. Informations sur la météo routière

  • IP0037 - Combining Thermal Mapping and Route-based Forecasting
    Murphy Martin

    Historically, road weather has been predicted at road weather station (RWS) sites, using the RWS observations to initialize and calibrate the forecasts. Extending these site-specific forecasts to the rest of the road network was initially done using thermal mapping. Thermal mapping (TM) techniques only allow for road surface temperature (RST) prediction and fail to take advantage of other data sources [...]

  • IP0272 - Application of the MDSS system in high capacity roads in areas with continental climate. The experience in Spain
    Gamallo de Cabo Jerónimo

    Winter maintenance works are one of the basic activities within road maintenance contracts. The efficient and optimal performance of such works involves a decision making process that is not free of complexity in certain circumstances and with important implications in terms of safety and reliability of the service provided to infrastructure users. The purpose of this study is the evaluation of the [...]

  • IP0047 - Prediction of Roadside Snow Pile Growth Trends Using Meteorological Observations
    Iida Miki

    About two-thirds of Japan is a cold and snowy region. As a result, Japan has several large cities with heavy snowfall. In order to improve winter road services, road managers are required to conduct efficient snow hauling by transporting and clearing the snow that has accumulated on the shoulders of roads within a limited budget. However, the choice of the timing and method of snow hauling has been [...]

  • IP0183 - The Value of Roadside Weather Observations
    Odbert Henry

    Roadside Weather Information Systems (RWIS) are widely used to aid decision support for reducing the impact of weather hazards on the roads. We examined the value of individual RWIS and RWIS networks to improving road weather forecasting and monitoring. The Highways England Environmental Sensor Site (ESS) network incorporates high-quality RWIS covering England’s strategic road network. The Met [...]

  • IP0115 - Optimization of road weather stations through a targeted use of sensor types
    Eimermacher Sandra

    The weather has a considerable influence on traffic safety and traffic flow. Road weather information is an important database for the implementation of winter road maintenance and traffic management. This information can also be integrated with roadside ITS infrastructure, so that local warnings and data can be transmitted directly to the driver or to an automatically driving vehicle. Stationary [...]

  • IP0060 - Product at road maintenance risk timeline service
    Kawahata Takayoshi

    Many weather disaster occur for road maintenance a few years. Example, West-japan heavy rain Jul-2018, Heavy snowfall for Hokuriku in Feb-2017 Low pressure for Capital area in Feb-2017 Hagibis at typhoon in Oct-2019. Each disaster effect road maintenance management. Weathernews Inc. (below is WNI) developed timeline service for road maintenance based on those phenomenon. Exaple -Before phenomenon [...]

  • IP0302 - Event planning integrated into weather forecast models and traffic management as a tool.
    Lopez Lazaro Raul Antonio

    "No snowfall is the same as another", this statement is maintained over time as an absolute truth. Snow episodes are phenomena that develop with the interaction of multiple variables and in many cases have a probabilistic approach. It is these characteristics that have sometimes made them not planned in a systematic way; However, currently, meteorological models have achieved a degree of detail in [...]

  • IP0237 - WEATHER PREDICTION SYSTEMS THROUGH MOBILE PHONE WAVES AT ROAD LOCALISED POINTS. REAL EXPERIENCE AT A-2 HIGHWAY IN GUADALAJARA, CASTILLA LA MANCHA, SPAIN.
    Toledo Gil Gonzalo

    Weather prediction is essential to perform all the activities related to maintenance highway, particularly in relation to winter serviceability. There are many highway maintenance activities conditioned by adverse climatic events such as heavy rains, strong winds, extreme temperatures (either too high or too low), dense fog or snowfalls. Knowing the likelihood of these adverse climatic events occurring [...]

  • IP0263 - Reliable and high quality meteorological information for winter services in Austria
    Csekits Christian

    Reliable and high quality meteorological information for winter services in Austria Christian Csekits and Thomas Turecek ZAMG (Central Institute for Meteorology and Geodynamics), Vienna, Austria The accuracy and quality of weather forecasts has been improving during the last decades. Nowadays weather forecasts provide a rather good presentation of the weather and its impact. In recent years the philosophy [...]

  • IP0130 - Applications of Novel Weather Information: Optimization for Deployment of Snow Removal Groups
    Teshiba Michihiro

    In winter, a lot of heavy snow events occur on the north side of Japan, because of significant meteorological characteristics of a convergence zone, Japan sea Polar air mass Convergence Zone; JPCZ. The snow clouds form in a similar process to the “Lake-Effect Snow in the Great Lakes” in the United States. However, heavier snowfall is produced in Japan by the three reasons: high sea surface temperature [...]

  • IP0065 - The City of Calgary Maintenance Decision Support System (MDSS)
    Hassan Diar

    Winter weather is accountable for 30% of traffic accidents in Canada and costs Canadians over $60B annually. Canadians use over 5 million tonnes of salt annually to keep their roads safe. But salt has a negative environmental footprint. Devised by the National Center for Amphoteric Research (NCAR), the Maintenance Decision Support System (MDSS) is comprised of multiple modules that coherently and [...]

  • IP0268 - RSI a tool for digital transformation within the winter maintenance industry
    Bogren Jörgen

    The winter maintenance industry is starting to evolve from a tradition of using RWIS and basic weather forecasts combined with treatment schemes when making decisions about actions. With new big data sources based on IOT - from sensors, floating car data, laser measurement and connected winter maintenance vehicles combined with state-of-the-art climate models it is already today possible to predict, [...]

  • IP0144 - Enhancing detail and context through wind-related risk forecasts for major roads in Great Britain
    Robbins Joanne

    The Met Office has transitioned to using Impact-based Warnings for its National Severe Weather Warning Service (NSWWS). These warnings aim to communicate the occurrence of weather events that have the potential to cause socio-economic impacts, by using a risk matrix which combines the level of impact the weather could cause, with the likelihood of those impacts occurring. This approach provides a [...]

  • IP0088 - Road weather services tailored for autonomous vehicles
    Sukuvaara Timo

    Finnish Meteorological Institute is continuously studying the possibilities to enhance the Arctic traffic monitoring and related safety services by innovative use of ITS and related methodologies. Autonomous driving is globally addressed as the future trend, also the driving in the Arctic conditions. The research work is relying on a miniature autonomous vehicle with capability to carry AI, measurement [...]

  • IP0316 - INTÉGRER LA RECHERCHE MÉTÉOROLOGIQUE ET CLIMATIQUE DANS LES TRANSPORTS
    Pisano Paul

    There is a wealth of noteworthy research taking place within the meteorological community that would be of value to the transportation community, but it often goes unnoticed. This may be a function of limited means of communication across the communities, a lack of a common language, or a lack of understanding of the end users’ needs. There is a need for more effective sharing of weather and climate [...]

  • IP0062 - Modèle IA de prévision des températures de sol du Kent County Council et d'Amey
    Valentine Carol

    Kent County Council (KCC) together with its partner Amey plc has for the past two years been developing a smart winter project with the following aims: • Improved safety and stakeholder satisfaction • Savings through reduced number of winter gritting runs • Savings through reduced spend on basic winter facility/resource • Savings on materials • Better evidencing for budget allocation and [...]

  • IP0089 - Premiers résultats avec le système de prévision d'ensemble météo routière FMI
    Karsisto Virve

    Finnish Meteorological Institute (FMI) has been experimenting with ensemble road weather forecast system since autumn 2019. Early verification results suggest that calibration is still needed to produce reliable probability forecasts. However, the system has great potential to assist the road maintenance personnel when making decisions of weather-related road treatment. Traditionally the decision [...]

  • IP0294 - Recherche sur les prévisions météorologiques à court terme de l'autoroute en hiver sur la base d'une carte du spectre thermique
    Jian Guan

    According to the "measurable" demand of expressway meteorology, based on the zhumadian-xinyang section  of Jing-Gang-Ao highway in  Henan Province, China, through the application of "thermal spectrum map" data acquisition vehicle, the pavement temperature of the whole expressway in winter under specific weather conditions was collected, and the temperature spectrum was drawn. At the same time, [...]

  • IP0119 - Segmentation d’images à l’aide de l’apprentissage profond pour la gestion du revêtement des routes en hiver
    Saida Akira

    Recent advances in technologies related to deep learning have been remarkable. The expectation for using image recognition methods in the field of road traffic engineering is high. For example, in winter road management, a method using deep learning has been proposed to improve the accuracy of identifying the road surface conditions. The snow and ice conditions on the road surface, i.e., dry, slush, [...]

  • IP0004 - Un nouvel index viabilité hivernale
    GILOPPE DIDIER

    Connaître la rigueur d’un hiver a toujours été une préoccupation importante des exploitants et des maîtres d’ouvrage. Les uns ayant à dimensionner les outils de production et les autres ont à mettre en place les lignes budgétaires nécessaires au fonctionnement du service. Différentes méthodes existent pour caractériser un hiver, comptabiliser les sorties, les consommations de sel, [...]

  • IP0169 - Un système de détection et d’avertissement de poudrerie et de visibilité réduite
    Champagne Frédéric

    Au Québec, les conditions hivernales souvent difficiles sont propices à la formation de poudrerie. En effet, des études de sécurité ont démontré que certains secteurs du réseau routier du Québec sont propices à la présence de poudrerie, notamment un tronçon de la route 175 dans la région de la Capitale-Nationale. Généralement, l’aménagement de haies brise-vent est privilégié pour [...]

  • IP0014 - Une étude sur la relation entre la visibilité moyenne et la visibilité immédiate en cas de rafales de neige
    Matsuzawa Masaru

    The author provides information on snowstorm visibility prediction on the internet. In this system, the average visibility value per hour is estimated based on the hourly wind speed, temperature, and precipitation intensity provided by the Japan Meteorological Agency. However, because the fluctuations of a blizzard are intense, there is a large difference between the average visibility and the instantaneous [...]

  • IP0288 - Utilisation des rapports de friction de la surface de la route en service hivernal - Conception de tests de performance pour la mesure continue de la friction
    Brown Glen

    Friction tests are very helpful both before and after abrasives or liquid brine are applied to road surfaces. The friction data may be obtained with continuous friction measuring equipment - otherwise referred to as “CFME”. Modern CFME are mobile test-tire devices that test with accuracy at all speeds within the speed limits. Friction graphs for the entire distance accompanied by numerical values [...]