12874 results about "Road condition" patented technology

An on-board intelligent vehicle system includes a sensor assembly to collect data and a processor to process the data to determine the occurrence of at least one event. The data may be collected from existing standard equipment such as the vehicle communication bus or add-on sensors. The data may be indicative of conditions relating to the vehicle, roadway infrastructure, and roadway utilization, such as vehicle performance, roadway design, roadway conditions, and traffic levels. The detection of an event may signify abnormal, substandard, or unacceptable conditions prevailing in the roadway, vehicle, or traffic. The vehicle transmits an event indicator and correlated vehicle location data to a central facility for further management of the information. The central facility sends communications reflecting event occurrence to various relevant or interested users. The user population can include other vehicle subscribers (e.g., to provide rerouting data based on location-relevant roadway or traffic events), roadway maintenance crews, vehicle manufacturers, and governmental agencies (e.g., transportation authorities, law enforcement, and legislative bodies).

A system and method for determining adverse/dangerous road conditions based on sensor data received from a vehicle and generating alerts for other vehicles which may encounter the same condition. The system receives sensor data from a vehicle and evaluates the data to determine if the vehicle encountered a potentially dangerous road condition. The system may apply one or more thresholds to the data, where the thresholds are designed to detect various sudden movements of the vehicle. The system may monitor the location associated with the potentially dangerous road condition and evaluate sensor data from one or more other vehicles that drive near the same location to determine whether they encounter a similar condition. The system may generate one or more alerts and transmit those alerts to vehicles that are approaching the location of the dangerous condition using location data provided by the approaching vehicles.

In accordance with various embodiments of the disclosed subject matter, a method and a system for vision-centric deep-learning-based road situation analysis are provided. The method can include: receiving real-time traffic environment visual input from a camera; determining, using a ROLO engine, at least one initial region of interest from the real-time traffic environment visual input by using a CNN training method; verifying the at least one initial region of interest to determine if a detected object in the at least one initial region of interest is a candidate object to be tracked; using LSTMs to track the detected object based on the real-time traffic environment visual input, and predicting a future status of the detected object by using the CNN training method; and determining if a warning signal is to be presented to a driver of a vehicle based on the predicted future status of the detected object.

Described herein are a system and method of training a motor vehicle operator in crash-avoidance skills. Critical crash-avoidance skills comprise actively scanning a driving environment to identify, recognize, and remember what is seen; adjusting vehicle speed and position to accommodate road conditions, visibility, and traffic; proactively identifying and responding to potential hazards before the potential hazards become immediate hazards; recognizing, assessing, and responding to driving risks; creating a space cushion in order to identify and maintain possible escape routes; and identifying and minimizing visual, manual, and cognitive distractions. Training comprises at least one interactive driving simulation in which use of technology by a motor vehicle operator impacts performance of the motor vehicle operator. The training comprises computer-based learning tutorials, interactive point-of-view driving simulations, and conjoint experienced driver mentor/inexperienced trainee activities, as well as objective testing of motor vehicle operators on skills and driving knowledge.

Systems and methods for obtaining data about road conditions as they pertain to an individual vehicle, using this information to build a model of vehicle behavior as a function of its environment, and aggregating information concerning multiple vehicles along with data from other sources in order to predict vehicle behavior in future environments.

A monocular motion stereo-based automatic free parking space detection system is disclosed. The system acquires image sequences with a single rearview fisheye camera, three-dimensionally reconstructs the vehicle rearview by using point correspondences, and recovers metric information from a known camera height to estimate the positions of adjacent vehicles thereby detecting the free parking spaces. By using de-rotation-based feature selection and 3D structure mosaicking the degradation of the 3D structure near the epipole is solved and it is not necessary to use the unreliable odometry due to its accuracy depending on road conditions.

The invention discloses a real-time road condition acquiring, analyzing and back-feeding and intelligent transportation integrated service system, which is divided into two parts of an intelligent terminal host and a server-side server farm. The intelligent terminal host consists of electronic map application, GPS receiving, p2p data transmission, navigation, voice control, general message checking and a communication module; the server-side server farm consists of vehicle information and public TMC receiving, data integration and filtration, road condition analysis, road condition forecast, electronic map management and maintenance, dynamic information prompt, advertising publishing, data feedback and publishing, a server-side data base, parking space information collection and treatment, road section codes, road condition codes, road planning analog and a communication module. The invention has wide road condition information acquisition source, strong data handling capacity, can carry out highly-accurate real-time road condition analysis, road condition information forecast, path planning navigation, information inquiry and the like, and can be widely applied in the fields of road planning, intelligent traffic management, vehicle navigation, car scheduling and the like.

The present invention provides a system and method for determining the necessary departure time to allow for an on-time or desired arrival time at a particular location over a particular route based on the evaluation of historic, present, and predicted road conditions.

The invention provides a four-dimensional live-action traffic road condition perceiving and early-warning monitoring management system based on radar tracking and positioning. According to the four-dimensional live-action traffic road condition perceiving and early-warning monitoring management system, a tracking and positioning technology, a license plate snapping technology, a vehicle and pedestrian three-dimensional simulation technology, a road monitoring technology, an early-warning and alarming technology, a traffic condition simulation technology, a network communication technology, a meteorological simulation technology, a computer graphic technology, a video rendering technology, a three-dimensional high-precision GIS map technology, a virtual reality fusion technology, a vehicle-road collaborative technology and a navigation technology are perfectly fused together; and through the system, the various demands of road traffic operation managers for road real-time monitoring orarea monitoring and the information demands of traveling of drivers and passengers for real-time and real traffic conditions are greatly met, and the various drawbacks which are imperfect and cannot be solved in an existing monitoring system are overcome, so that the management efficiency of the road managers is improved, the firm foundation is laid for automatic management of roads, and the important safety guarantee is also provided for traveling vehicles on the road.

The invention discloses a bus GPS track data road network matching method which includes 1 collecting all GPS track data of a bus in a period; 2 determining at least one candidate matching road section for one track point to form a candidate matching road section set in the bus road network data structure; 3 judging the candidate matching road section set of surplus track points of the first track point one by one and determining at least one matching point for each track point; 4 connecting matching points of all the track points to form multiple candidate running tracks and judging the candidate running track with the most matching points as the running track; 5 determining that each road section is matched with k track points due to the fact that the running track passes through a plurality of road sections. By means of the matching method, the GPS track points are classified into the bus road network data structure as real as possible to accurately judge the actual running position of one bus at certain time to accurately obtain the road condition information.

An adaptive vehicle control system that classifies a driver's driving style based on characteristic curve-handling maneuvers and road and traffic conditions. The system includes a plurality of vehicle sensors that detect various vehicle parameters. A maneuver identification processor receives the sensor signals to identify a characteristic maneuver of the vehicle and provides a maneuver identifier signal of the maneuver. The system also includes a traffic and road condition recognition processor that receives the sensor signals, and provides traffic condition signals identifying traffic conditions and road condition signals identifying road conditions. A style characterization processor receives the maneuver identifier signals, sensor signals from the vehicle sensors and the traffic and road condition signals, and classifies driving style based on the signals to classify the style of the driver driving the vehicle.

A method and system for monitoring speed of a vehicle moving along a road that includes risk zones. The method determines: road conditions for each risk zone; a threshold speed of each risk zone based on the road conditions and on a distance to a posted speed limit within a high risk zone; a geographical position of the vehicle, a current risk zone in which the vehicle is moving based on the stored geographical position of the vehicle; and a current speed of the vehicle moving in the current risk zone which exceeds the threshold speed of a particular risk zone, resulting in performing a subsequent action (triggering an alarm within the vehicle, presenting a message to a driver in the vehicle, and/or automatically regulating the speed of the vehicle). The action is specific to the particular risk zone and dependent on the road conditions.

The invention discloses a cloud computing and big data-based parking method and system. The method comprises the steps: a cloud server receives parking lot information query instruction of an intelligent terminal, wherein the parking lot information query instruction comprises destination data information of the intelligent terminal; according to the received parking lot information query instruction, information data collected through a plurality of parking lot terminals is searched for corresponding parking lot information, and query results are sent to the intelligent terminal. According to the cloud computing and big data-based parking method and system, a car owner can quickly and comprehensively learn about the information of charge of a parking lot nearby the destination, real-time available parking spaces and the like; by comprehensively analyzing factors, such as weather, road conditions, major events which affect the traffic nearby the destination, and parking lot selection of car owners who frequently park nearby, the optimal parking lot and path are provided for the user, thus, the car owner can quickly make a wise selection even in a strange place or environment, and the parking efficiency can be improved.

A commuter groups service (CGS) allows commuters to join commuter groups so that they are able to socialize while commuting. Through the commuter groups, the users may share commuting routes, traffic updates, road conditions, and other information. Group members may arrange car pools, short term riding arrangements, and may anonymously or directly contact each other. The CGS may collect group member position information, e.g. GPS information, to enable the CGS to calculate traffic conditions and to select location specific information for group members. The system may include an on-line service accessible through a computer or wireless networking device. The user may log into the CGS, create or modify a user profile, and join groups of their choosing. Groups may be associated with specific events or with getting to/from work. Commuter groups may be formed for commuters that use private vehicles and/or public transportation.