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SYSTEM AND METHOD FOR MONITORING A ROAD INFRASTRUCTURE

Resumen de: WO2025109502A1

It is disclosed a system for monitoring a road infrastructure. The system comprises: a sensor installed along the road infrastructure which provides measurements of a parameter indicative of a state of the road infrastructure; a beacon device associated with the sensor which receives from the sensor the measurements of the parameter and transmits, via a short-range radio communication technology, a broadcast radio signal comprising an information content corresponding to at least one measurement; and a mobile communication device comprising a short-range connectivity module and a mobile connectivity module. The mobile communication module receives the radio signal broadcast via the short-range connectivity module, when the mobile communication device is located within the coverage range of the beacon device, and transmits the information content to a processing apparatus by means of the mobile connectivity module via a mobile communication network.

REAL-TIME TRAFFIC MANAGEMENT METHOD AND SYSTEM

Resumen de: WO2025108977A1

The disclosure relates in particular to a real-time traffic management method and corresponding real-time traffic management system. The method comprises an initialization step during which ground sensors (GS) and video cameras (CAM), meant to detect vehicles on a road, are installed. Outputs of the ground sensors and of the video cameras are then fed into a neural network (NN) that is being trained on this basis. The method also comprises a real-time traffic management step during which the neural network detects vehicles in real time, and manages the traffic based on vehicles detections.

MULTI-MODAL MODEL FOR TRAFFIC ACCIDENT ANALYSIS

Resumen de: WO2025109523A1

Disclosed herein are system, method, and computer program product embodiments for a model of traffic accident analysis, which incorporates multi-modal input data to automatically reconstruct accident process video with dynamics details and further provide multi-task analysis with multi-modal outputs.

LOCATOR DEVICE, PROCESSING DEVICE, AND ONBOARD SYSTEM

Resumen de: WO2025109727A1

A locator device according to an embodiment of the present disclosure comprises: a first processing circuit that, on the basis of a map database, can generate travel path data, which is represented by a vehicle coordinate system with reference to a vehicle and includes data indicating the position of a travel path in a partial region set in a direction in which the vehicle could travel with reference to the vehicle, and conversion data for performing coordinate conversion from the vehicle coordinate system to an absolute coordinate system; and a first communication circuit that can transmit time-series data pertaining to the travel path data and time-series data pertaining to the conversion data.

KIT FOR INSTALLING AN IMAGE ACQUISITION DEVICE FOR AUTOMATIC ROAD CONTROL MACHINES

Resumen de: EP4561090A1

Kit d'installation d'un système d'acquisition d'images pour un automate de contrôle routier comprenant :- une pluralité de dispositifs optiques (3000) avec des distances focales différentes, chaque dispositif optique comprenant un objectif optique (3002) et un capteur photosensible (3001) ;- un platine de fixation (1000) adaptée à former une liaison mécanique entre plusieurs dispositifs optiques de ladite pluralité de dispositifs optiques (3000) ;dans lequel- la platine de fixation (1000) comprend une caméra fixe de contexte (1001) etune pluralité de positions de fixation sélectionnables (1002) pour chaque dispositif optique de la pluralité de dispositifs optiques (3000) ;- lesdites positions de fixation sélectionnables (1002) sont arrangées de manière à former une pluralité d'alignements préétablis entre la caméra fixe de contexte (1001) et un ou plusieurs dispositifs optiques sélectionnés parmi la pluralité de dispositifs optiques (3000) ;- lesdits alignements préétablis et lesdites positions sélectionnables (1002) sont configurés selon un abaque de correspondance ;- ledit abaque de correspondance fournit une pluralité d'alignements préétablis selon le nombre et la largeur des voies routières à surveiller par l'automate, de la position et de la distance à la ligne d'infraction dudit système d'acquisition, et du nombre et de la distance focale des objectifs optiques nécessaires à la couverture desdites voies routières.

MODULAR BARRIERS AND BARRIER SYSTEMS

Resumen de: AU2023356678A1

A barrier includes a rail, extending along an axis of the barrier, and including a partition extending across the width of the rail and defining first and second cavities, the first cavity defined by a top of the rail and a top surface of the partition, and the second cavity defined by a bottom surface of the partition and a bottom of the rail including an opening for receiving a support leg. The rail includes a groove disposed within the second cavity and extending along the axis and configured for receiving an upper end of the support leg. The top and bottom include a first upper guide and a first lower guide, respectively. Both guides extend along the axis of the barrier. The rail further includes a first rigid plate having upper and lower ends, each being disposed within the first upper guide and the first lower guide, respectively.

RADAR DEVICE USED IN SPEED CAMERA

Resumen de: EP4560351A1

A speed camera-assisting radar device determines an installation angle using a gravity sensor, determines a speed measurement section appropriate for the installation angle, and automatically sets a radar parameter appropriate for the speed measurement section.

BARRIER TRANSITION FRAMEWORK

Resumen de: EP4560076A1

A barrier transition framework such as for use as a bridge transition, is disclosed for connection to a concrete anchor at an entrance, comprising a tubular upper transition chord having first and second beveled ends, and a tubular lower transition chord having first and second beveled ends. The first beveled ends of each of the upper and lower chords are welded to an approach deflector. The second beveled ends of each of the upper and lower chords are welded to an anchorage plate. A transition assembly is formed by connecting thrie-beams to the road-side of the transition framework. A thrie-beam may also be connected to the field-side of the transition framework. The disclosed transition framework provides a preassembled solid four bar structure with exceptional resistance to deflection in both the vertical and horizontal planes, that spans a greater distance than convention transitions.

PREDICTIVE AND ADAPTIVE LIGHTING CONTROL METHOD AND PREDICTIVE AND ADAPTIVE LIGHTING SYSTEM

Nº publicación: ES3021610T3 27/05/2025

Solicitante:

REBERNIG SUPERVISIONI SRL
Rebernig Supervisioni Srl

Resumen de: US2022272815A1

A lighting system comprising a plurality of controllable lighting devices (15) distributed in an area to be illuminated and an artificial intelligence (20) adapted to learn traffic data and to determine the lighting settings of said plurality of controllable lighting devices (15), wherein said artificial intelligence (20) comprises: —a plurality of intelligent devices (22) arranged in said area, each associated with at least one of said controllable lighting devices (15), wherein each intelligent device (22) comprises sound sensing means (25) adapted to acquire sound data and a local neural network (21a) adapted to learn traffic data based on the acquired sound data, to predict local traffic events and to process local lighting commands, within predetermined lighting setting limits, for the at least one associated controllable lighting device, —at least one general neural network (21b) remote with respect to the plurality of intelligent devices (22), and —sound training means comprising image sensing means (30), sound sensing means (25) and a neural training network (21c) cooperating therewith to associate simultaneously sensed image data and sound data to create sample soundtracks (18) of a same scene to thereby teach the artificial intelligence (20) to recognize and classify traffic sounds, wherein said at least one general neural network (21b) is adapted to receive traffic data from said plurality of intelligent devices (22) and to process said traffic data to modify