Resumen de: WO2023092451A1

A method and apparatus for predicting a drivable lane, which relate to the fields of artificial intelligence and autonomous driving. The method for predicting a drivable lane comprises: acquiring vehicle forward lane line information and vehicle backward lane line information (S410); constructing a first lane model according to the vehicle forward lane line information (S420); constructing a second lane model according to the vehicle backward lane line information (S430); and predicting a first drivable lane according to the first lane model and the second lane model (S440). By means of the method and the apparatus for predicting a drivable lane, the accuracy and reliability of lane prediction in a traffic congestion scenario can be improved.

Resumen de: WO2023095408A1

This information generation system is equipped with a generation unit for generating a travel time for a link comprising an entrance from a first intersection and an exit at a second intersection adjacent to the first intersection, wherein, when the absolute value of a difference between a first cycle length of a traffic signal provided at the first intersection and a second cycle length of a traffic signal provided at the second intersection is less than or equal to a prescribed value, the generation unit generates a plurality of types of travel times for the link, for each road leading to the link, for each road leading from the link, or for each combination of a road leading to the link and a road leading from the link, and when the absolute value of a difference between the first cycle length and the second cycle length is greater than the prescribed value, the generation unit generates one type of travel time for the link, regardless of the roads leading to the link and the roads leading from the link.

Resumen de: WO2023092221A1

Simple traffic management strategies such as static signs, fixed pattern timed traffic lights, etc. fail to address the dynamic nature of traffic flow resulting in traffic backups and inefficiency. Accordingly, there are provided means for dynamically adjusting traffic signs, traffic signals etc. to adjust the flow to remove backups, avoid tailbacks and increase efficiency of travel etc. Further, most control systems are controlled with default control settings or ones based upon limited information. Accordingly, there are provided methods based upon real-time or offline micro-simulations from enhanced information and acquired data accumulated at high frequency, such as from connected vehicles, to allow for improved evolving model(s) of traffic flow within the traffic system to be established for establishing control settings etc. of traffic infrastructure such as traffic signs, traffic signals etc.

Resumen de: WO2023095512A1

The present invention provides accurate vehicle location information capable of withstanding various analyses and protecting location information related to personal information.　An information providing device 30 includes a communication unit 33 that receives location information of a plurality of vehicles 50; a storage unit 32 that stores map information including road maps; a departure/arrival point location information generating unit (for example, "departure/arrival point location information generating unit 313" described hereinafter) that accumulates the location information for discretely changing time for respective moving bodies, calculates a mode of the location information for the respective moving bodies, and generates, as departure/arrival point location information, plane information including the location information of the mode; and a location information outputting unit (for example, "location information outputting unit 314" described hereinafter) that, for each moving body of the plurality of moving bodies, outputs the plane information and also outputs the location information beyond a location separated by a prescribed distance from the position of the mode.

Resumen de: WO2023094796A1

There is described a method of estimating one or more properties of traffic passing along segments of a road network, the traffic comprising a plurality of vehicles. The method comprises receiving, from a radio navigation receiver located at each vehicle of a subset of the vehicles, one or more first properties of each of those vehicles. The method also comprises using distributed acoustic sensing to generate, as a function of time and of position along a subset of the segments of the road network, signals representing acoustic vibration caused by the traffic at one or more sensing optical fibres that extend along the subset of segments. The signals representing acoustic vibration caused by the traffic are then used to determine one or more second properties of the traffic in the subset of segments, and the received first properties of the vehicles in the subset of vehicles are combined with the determined second properties of the traffic in the subset of segments, to estimate one or more third properties of the traffic.

Resumen de: EP4187464A1

The present invention discloses a payment method and system for a fleet, an electronic device and a storage medium. The method includes: sending payment request information of a fleet to a roadside payment terminal, such that the roadside payment terminal sends the payment request information of the fleet to a payment server; receiving, from the roadside payment terminal, fleet payment information generated by the payment server; and performing a payment operation according to the fleet payment information. According to the present invention, the traveling efficiency of the fleet can be improved.

Resumen de: WO2023088971A1

The invention relates to a method (500) for recognising the validity of a vehicle parameter. The method (500) comprises a step of reading (510) at least one first parameter (140a) and at least one second parameter (140b), wherein: the first parameter (140a) represents a first physical variable (130a) of the vehicle (105) or a variable derived from the first physical variable (130a), and the second parameter (140b) represents a second physical variable (130b) of the vehicle (105) or a variable derived from the second physical variable (130b); a distinguishing criterion (160, 245) for recognising the validity of the vehicle parameter of the vehicle (105) using a combination (150) of the first (140a) and the second parameter (140b) is also read. The method (500) also comprises a step of assigning (520) the vehicle parameter as a valid vehicle parameter if a combination (150) of the first (140a) and the second parameter (140b) meets the distinguishing criterion (160, 245).

Resumen de: WO2023091236A1

Various embodiments include method performed by a processor of a roadside unit (RSU) processing system for controlling a message transmissions. In various embodiments, the RSU processing system may receive vehicle-to-everything (V2X) information from a vehicle, determine, based on the received V2X information, a minimum reception distance at which the vehicle or operator of the vehicle will reliably receive a message from the RSU and have time for the vehicle to react to the message, determine a transmission power level based on the determined minimum reception distance, and transmit the message to the vehicle using the determined transmission power level. In various embodiments, the RSU processing system may determine the transmission power level taking into account vehicle speeds, vehicle locations, road conditions, weather conditions and/or the type of message being transmitted.

Resumen de: WO2023091367A1

A direct truck assignment system, device and method that allows for efficient assignment a driven or autonomous vehicle from amongst a group of available, unassigned vehicles within a container loading area, and arrange for transportation of a container directly with the selected vehicle, eliminating the need for prior assignment before the truck(s) arrive at the container loading area or the need for a third party intermediary in the delivery assignment and vehicle engagement processes.

Resumen de: WO2023090203A1

In the present invention, a processor of an autonomous driving ECU, when autonomous driving control is being executed or when an instruction to start autonomous driving control is received, determines whether the latest version of map data for a road segment planned to be passed within a predetermined time is stored in a map storage unit. Even when a road segment for which the latest map is not stored is detected, the processor continues/starts the autonomous driving control if the segment is in a congested state.

Resumen de: WO2023090758A1

Disclosed are an electronic device for classifying road surfaces using sound wave signals and a method for classifying road surfaces using same according to various embodiments. Also disclosed are an apparatus and method for managing road surfaces through road surface classification. Meanwhile, disclosed is a method for installing, on roads, infrastructure for implementing the road surface classification method. Various other embodiments are possible.

Resumen de: WO2023092007A1

Aspects of the present disclosure include methods, systems, and non-transitory computer readable media for receiving a plurality of images of a plurality of street locations from a plurality of image capturing devices, identifying an event at a street location of the plurality of street locations based on one or more of the plurality of images, determining at least one new route for at least one vehicle based on the event and one or more of the plurality of images, and transmitting at least one indication indicating the at least one new route to at least one receiving device.

Resumen de: WO2023089631A1

The present disclosure provides a system (100) for monitoring driving conditions of a vehicle in real-time. The system (100) comprises one or more user data sensors (102) being adapted to procure a behavior data of a user operating the vehicle and one or more vehicle data sensors (104) being adapted to procure an operating condition data of the vehicle. A control unit (106) is configured to determine a behavior of the user based on the behavior data and an operating condition of the vehicle based on the operating condition data. The control unit (106) thereafter monitors, the driving conditions of the vehicle based on the behavior of the user and the operating condition of the vehicle. The control unit (106) is adapted to alert a traffic control authority when at least one of the driving conditions of the vehicle violates one or more traffic regulations of the traffic control authority.

Resumen de: EP4184471A1

An information processing method includes: obtaining a remote operation point at which remote operation of a mobile body capable of autonomous movement and remote operation for movement is performed (S11); specifying a plurality of mobile bodies that pass the remote operation point in a same time period, based on a position of at least one mobile body (S12); determining a first mobile body to be remotely operated and a second mobile body to follow the first mobile body, out of the plurality of mobile bodies specified (S13); presenting remote operation of the first mobile body at the remote operation point to an operator, to cause the operator to perform the remote operation (S14); and instructing the second mobile body to follow the first mobile body during the remote operation of the first mobile body (S15).

Resumen de: EP4184472A1

A method for platooning vehicles to pass by an intersection, includes obtaining, by a first vehicle controlling driving of a forward platoon, signal information of the intersection; determining, by the first vehicle, vehicle ranks of the forward platoon to pass by the intersection together based on the signal information; and determining, by the first vehicle, a second vehicle to control another driving of a following platoon to be separated from the forward platoon, in response to determining that the vehicle ranks do not pass by the intersection together.

Resumen de: EP4183930A1

Bei einem Verfahren und einer Vorrichtung zur Verteilung von Streustoff mittels einer Streustoffaustragvorrichtung, insbesondere einem Winterdienststreufahrzeug, wird der Streustoff mit einer vorgegebenen Fördermenge pro Zeiteinheit (V(t)) der Streustoffaustragvorrichtung (7) zugeführt. Die Einstellung der Fördermenge (V(t)) wird in Abhängigkeit von einem gemessenen Feuchtegrad (ϕ) des Streustoffs eingestellt. Aus dem gemessenen Feuchtegrad wird entweder eine spezifische Schüttdichte (Δspez)des auszutragenden Streustoffs ermittelt oder ein Korrekturfaktor (K), mit dem eine Norm-Schüttdichte (Δnorm) entsprechend korrigiert wird.

Resumen de: WO2023084694A1

A vehicle-mounted communication device with a low processing load for received messages.　This vehicle-mounted communication device is provided with: a reception unit (32) that receives, from an other-vehicle (12), an other-vehicle message including information about an other-vehicle location; a host vehicle information acquisition unit (1) that acquires, as information about a host vehicle, host vehicle information including at least a host vehicle location, a host vehicle speed, and a host vehicle traveling direction; a message processing area determination unit (4) that determines a message processing area on the basis of the host vehicle information; a message processing necessity determination unit (5) that acquires other-vehicle messages from the reception unit (32), and outputs, as a selected other-vehicle message, an other-vehicle message for which the other-vehicle location is within the message processing area, while discarding other-vehicle messages for which the other-vehicle location is outside of the message processing area; and a message processing unit (6) that processes the selected other-vehicle message output from the message processing necessity determination unit (5).

Resumen de: WO2023084846A1

The present invention determines an optimal vehicle movement method in a system for delivering information and analyzing users in a specific region by using a beacon device installed in a vehicle. A system equipped with a wireless device 550 installed in a vehicle 500, a user terminal 200 and a server 100, wherein: the wireless device 550 is equipped with a transmission means 551 for transmitting a beacon radio wave to the surrounding area while moving in a specific region in association with the vehicle 500 movement, and a communication means 560 capable of near-field communication with the user terminal 200, which detected the beacon radio wave; and the server 100 is equipped with a receiving means 111 for receiving specific information capable of identifying the user terminal 200 via near-field communication, a delivery means 114 for delivering advertisement information to the user terminal 200 present in the specific region on the basis of receipt of the specific information, and a determination means 140 for determining the movement means of the vehicle 500 in the specific region on the basis of the specific information received via near-field communication.

Resumen de: WO2023083043A1

A method and apparatus for determining an impassable area, a device, and a readable storage medium, relating to the technical field of Internet of Things services. The method comprises: determining, according to map data and longitude and latitude information of a current traveling vehicle, real-time lane information and road information of the traveling vehicle (101); determining, according to the lane information and the road information, a plurality of traveling vehicles each having a detouring behavior on a target road (102); according to detouring time information and detouring longitude and latitude information respectively corresponding to the plurality of traveling vehicles, identifying a plurality of target vehicles each having a valid detouring behavior in the plurality of traveling vehicles (103); and determining an impassable area on the target road according to the detouring longitude and latitude information corresponding to the valid detouring behavior of each target vehicle (104).

Resumen de: WO2023084890A1

Provided is an information generation system comprising: an information acquisition unit for acquiring vehicle information that includes information pertaining to the position of a vehicle which enters an intersection and to the time at which the vehicle has passed through said position and signal information that includes information pertaining to the times at which an arrow of an arrow-type traffic light provided at the intersection has been turned on and turned off; a determination unit for determining, on the basis of the acquired vehicle information and signal information, whether or not at least one of first to third conditions is satisfied when the vehicle has stopped at least twice in a predetermined section which is from a predetermined position to the intersection; and an information generation unit for generating, when it has been determined that at least one of the first to third conditions is satisfied, traffic information indicative of the congestion of a given lane that allows for travel in a predetermined direction which is indicated by the arrow of the arrow-type traffic light among a plurality of lanes that are connected to the intersection in the entrance direction of the vehicle.

Resumen de: WO2023084657A1

A controller 20 determines whether the current position of an own vehicle (1) is located within a high-precision map available region (Rav) in which high-precision map information (13H) is available, and when determining that the current position of the own vehicle is located within the high-precision map available region (Rav), on the basis of specified speed information acquired by recognizing a speed sign on a captured image or specified speed information acquired from the high-precision map information (13H) on the basis of the current position of the own vehicle, executes acceleration/deceleration control for controlling acceleration/deceleration of the own vehicle and notifies a drive of the specified speed information. Further, when the own vehicle is predicted to move out from the high-precision map available region (Rav), the controller 20 finishes acceleration/deceleration control based on the specified speed information at a point (Pc) before a point (Po) at which the own vehicle moves out from the high-precision map available region (Rav), and acquires specified speed information from road map information (13N) lower in precision than the high-precision map information (13H), on the basis of the current position of the own vehicle to notify the driver of the acquired specified speed information.

Resumen de: WO2023085179A1

An information processing device 10 comprises: an acquisition unit 101 that acquires a map on which a passable area and an impassable area for a movable robot are distinguished from each other, and information about the size of the robot; a processing unit 102 that divides the passable area of the map into a first area in which a travel direction of the robot is determined and a second area in which the travel direction of the robot is not determined, and generates, using the information about the size of the robot, a predetermined data structure storing information on whether or not the robots can pass by each other in the first area as first area information, and information on the number of the robots that can be present simultaneously as second area information; and an output unit 103 that outputs the data structure generated by the processing unit 102.

Resumen de: WO2023084184A1

Described is a method of determining a risk value at a real-world location, the method comprising: receiving data from an image of the location captured by a camera; determining, from the data, the presence of one or more objects in the image; determining a plurality of parameters for each of the objects in the image; and determining the risk value based upon the plurality of parameters.

Resumen de: WO2023085062A1

This control device (1), which controls a process for collecting, in a logger unit (5), sensing data (Dso) acquired in a host vehicle (Vh) by a sensor system (3), comprises: a storage medium (104) that stores a scene model (Ms) of a travel scene; and a monitoring processor (102) that instructs the logger unit (5) to exclude the sensing data (Dso) acquired in excluded scenes (se) from collection targets by monitoring the degree of matching between a travel scene of the host vehicle (Vh) recognized on the basis of the sensing data (Dso) and the stored scene model (Ms), wherein the excluded scenes (se) are travel scenes for which the degree of matching falls below the range required for collection in the logger unit (5).