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472 results about "Driving risk" patented technology
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Different people accept larger or smaller risks. Some factors that can contribute to the degree of driving risk include the ability of the driver and the condition of the vehicle. Other risks are caused by the environment (such as the weather) or the condition of the highway.
Vendor Management System
InactiveUS20150242778A1Disadvantages can be reduced eliminatedProblems be reduced eliminatedFinanceResourcesDriving riskEngineering
Managing a vendor may comprise identifying a product to be supplied to an entity. Risk elements associated with the product may be determined by performing a product category-driven risk assessment. A transaction level risk assessment is performed for one or more vendors proposed to supply the product to the entity. At least one management action is determined for reducing risk for a risk element of the plurality of risk elements associated with supplying the product to the entity by a selected vendor from a group comprising the one or more vendors proposed to the supply the product to the entity, wherein the at least one management action is determined according to results of the product category-driven risk assessment and the transaction level risk assessment for the selected entity. A vendor level quality plan for the selected vendor is created that comprises the at least one management action.
Owner:BANK OF AMERICA CORP
System and method for taking risk out of driving
ActiveUS20070257815A1Cosmonautic condition simulationsAnti-collision systemsDriving riskDriver/operator
Systems and methods for taking risk out of driving are presented. The system comprises an event capture device that records audio, video, and other information that collectively comprise an event. The event data, including the audio, video, and other related information, is provided to an evaluation server where it is stored in a database of events. Driving events can be analyzed singularly or collectively to provide counseling of fleet drivers, reconstruction and forensic analysis of automobile accidents, and driver and / or vehicle scores / ratings.
Owner:DRIVECAM
Method for ranking driver's relative risk based on reported driving incidents
InactiveUS20090132294A1Understand clearlyAnalogue computers for vehiclesFinanceDriver/operatorDriving risk
The present invention relates generally to the field of improvement in the driving risk assessment arts. More particularly, but not by way of limitation, the present invention generally relates to a method of rating the driving risks of individuals based on that driver's actual driving record as obtained from his or her fellow drivers.
Owner:HAINES SAMUEL H
Systems and methods for real-time driving risk prediction and route recommendation
A system, method, and computer-usable medium are disclosed for providing routing-based insurance. A telematics device exchanges information related to a user's traversal of a route with a routing-based insurance system. The telematics device determines the current location and destination of the user, which it provides to the routing-based insurance system, for processing to determine available route segments between the two locations. A set of risk score data is generated for each of the available route segments, which in turn is used to generate a set of risk score differential data. Route advisement data, comprising routing instructions and the set of risk score differential data for the route segment, is generated and provided to the telematics device. A route segment is selected by the user and then traversed. The set of risk score differential data associated with the traversed route segment is determined and associated with the user's insurance policy. Insurance policy price data, corresponding to the traversed route segment, is generated and in turn is processed to generate insurance policy adjustment data. The insurance policy price adjustment data is then processed to modify pricing data associated with the user's insurance policy.
Owner:USAA
System and method for taking risk out of driving
Systems and methods for taking risk out of driving are presented. The system comprises an event capture device that records audio, video, and other information that collectively comprise an event. The event data, including the audio, video, and other related information, is provided to an evaluation server where it is stored in a database of events. Driving events can be analyzed singularly or collectively to provide counseling of fleet drivers, reconstruction and forensic analysis of automobile accidents, and driver and / or vehicle scores / ratings.
Owner:DRIVECAM
System and Method for Reducing Driving Risk With Insight
InactiveUS20070268158A1Readily apparentFinanceRegistering/indicating working of vehiclesPersonalizationDriving risk
Systems and methods for scoring individual and groups of drivers and providing vehicle ratings based on captured driving event data are provided. The system comprises an event capture device that records both audio and video of an event. The event data, which includes the audio, video, and other related information, is provided to an evaluation server where it is compiled and analyzed to identify correlations between events, driving behavior, vehicles, circumstances of events, individual drivers, and other event attributes. These correlations are continuously updated and can be weighted in order to provide a comprehensive analysis of the tendencies and characteristics of an individual driver or group of drivers. Event data particular to an individual or group is compiled and analyzed to provide an individualized driver or group score that can be used as a basis to rate the driver or group for customized insurance coverage.
Owner:DRIVECAM
System and Method for Reducing Driving Risk With Foresight
ActiveUS20070257804A1Improve driver behaviorEfficient analysisCosmonautic condition simulationsFinanceDriver/operatorDriving risk
Systems and methods for the capture, analysis, and reporting of risky driver behavior are provided in combination with coaching of individual drivers to improve driver performance. The system comprises an event capture device that records both audio and video of an event. The event data, which includes the audio, video, and other related information, is provided to an evaluation server where it is then analyzed and scored and compiled with other event data. Event data can be compiled for individual drivers, groups of drivers, and the entire universe of drivers for an organization. The evaluation server provides managers, supervisors, and executives with access to reports including granular information about risky behavior and trends related to individual drivers, groups of drivers, or the entire universe of drivers for the organization. Additionally, the evaluation server provides coaching sessions for drivers (with or without their supervisors) to demonstrate to the driver with audio, video, and other related information (e.g., speed) how the event occurred and improved ways to avoid such an event in the future. In this fashion, driver improvement is achieved and insurance costs may be reduced for the organization.
Owner:DRIVECAM
Behaviorally-based crash avoidance system
ActiveUS20160163217A1Impact performanceCosmonautic condition simulationsElectrical appliancesVisibilityDriving risk
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.
Owner:LIFE LONG DRIVER LLC
System and Method for Reducing Driving Risk With Hindsignt
ActiveUS20070271105A1Readily apparentRegistering/indicating working of vehiclesCommerceDriving riskRelevant information
Owner:DRIVECAM
Method and system to estimate driving risk based on a heirarchical index of driving
A system and method for providing driving risk assessment for a host vehicle equipped with on-board sensors or vehicle-to-vehicle or infrastructure-to-vehicle systems. The system includes a hierarchical index of passive driving conditions, a means of collecting active driving conditions and a processor whereby the sum of passive driving conditions may be further refined by the active driving conditions The method incorporates a hierarchical index of risks associated with passive driving conditions, and refining said risks with active driving conditions of the vehicle to generating a driving risk assessment for current vehicle operation.
Owner:TOYOTA MOTOR CO LTD
Extensible multi-dimensional framework
InactiveUS20080040364A1Easy to implementEasy to modifyOffice automationSpecial data processing applicationsDevelopment teamMulti dimensional
Extensible Multi-Dimensional Framework (EMDF) is a system engineering framework for designing, developing and managing enterprise information technology systems. It includes two parts: multi-dimensional architecture framework (MDAF) and three-dimensional unified process (3DUP). MDAF includes comprehensive concepts for modeling an enterprise information technology system. 3DUP provides an iterative system development process. EMDF addresses an enterprise information technology system as a single entity. By projecting this entity on intertwined MDAF dimensions through the 3DUP lifecycle, all logical or physical elements encompassed in the entity will be exposed and captured in well-organized artifacts defined in MDAF. These elements are then prioritized and scheduled in a set of agile iterations. The iterations will be planned in parallel projects implemented by multiple development teams. During a long-term system development lifecycle, some elements may change. The dimensions included in MDAF provide a flexible framework to adjust system architectures, iterations and projects in order to adapt to such changes. The key deliverables of EMDF include an adaptive-to-change quality-focused architecture, optimistic agile iterations, and a market-centric business-driven risk-mitigating process.
Owner:LI DI
Prediction method of driving risk based on hidden Markov model
ActiveCN107958269AImprove accuracyImprove forecast accuracyData processing applicationsCharacter and pattern recognitionHidden markov chain modelRisk model
The invention discloses a prediction method of driving risk based on a hidden Markov model. The method comprises the steps of (1) classifying driving risk states through a cluster analysis method based on vehicle operating characteristics, (2) estimating the influences of a driver behavior and surrounding traffic environment characteristics on a transition probability between driving risk states through multiple logistical models for different driving risk states, (3) with a risk state as a hidden state, with an actual observed vehicle movement variable as a state output value, with multiple logistic model parameters as parameter initial values of a state transition probability matrix, establishing a hidden Markov chain model that reflects the evolution rule of driving states, and (4) obtaining the vehicle operating characteristics in real time and predicting a future risk state based on the hidden Markov chain model. According to the method, the hidden Markov model which can reflect the above characteristic real-time change and has a variable state transition probability is established, the accuracy and prediction accuracy of a driving risk model are improved, and the real-time requirements of anti-collision warning can be satisfied.
Owner:JIANGSU UNIV
Driving behavior safety evaluation method based on human-vehicle-environment multiple data sources
ActiveCN107618512APromote marketizationCredible Driving Risk LevelStatistical analysisKnowledge Field
The invention provides a driving behavior safety evaluation method based on human-vehicle-environment multiple data sources and belongs to the field of automobile safety driving research in the aspectof road transportation application. The method comprises the steps that information data of a driver, driving data of a vehicle and environmental factor data are acquired as automobile driving sourcedata; according to the automobile driving source data, related factors which influence the driving safety are analyzed, and a driving risk evaluation index system is built; through statistical analysis, an evaluation value corresponding to an evaluation index is extracted in the source data, a driving risk score of a vehicle to be evaluated is calculated and obtained, and finally the driving behavior safety grade of the vehicle is determined. The driving behavior safety evaluation method has reliable evaluation results, can prevent dangerous driving behaviors, reduces traffic accidents and improves the traffic flow.
Owner:TSINGHUA UNIV
System and method for calculating driving risks and assisting automobile insurance pricing based on multi-source data
InactiveCN105374211AImprove traffic safetyReduce lossesDetection of traffic movementRisk modelData acquisition
The invention discloses a system and method for calculating driving risks and assisting automobile insurance pricing based on multi-source data. The system includes an intelligent mobile internet terminal and a remote server connected with each other; a plurality of data sensing acquisition units and applications are installed in the intelligent mobile terminal; and the remote server is provided with a risk model algorithm system and includes a scene driving risk analysis sub module, a distracted driving model recognition sub module, a user travel behavior analysis sub module and a driving behavior evaluation and grading system sub module. According to the system and method of the invention, data acquired by the intelligent mobile internet terminal and road traffic information acquired by the remote server are analyzed, and the scores of the sub modules are calculated, and automobile insurance pricing is carried out according to the scores. With the system and method of the invention adopted, based on multi-source data acquisition and fusion, the driving behaviors of users are analyzed, and the travel habits, driving habits and driving risks of the drivers can be effectively calibrated, and therefore, theoretical basis and technical support can be provided for driving behavior-based automobile insurance pricing models.
Owner:MINCHI INFORMATION TECH SHANGHAI CO LTD
System and method for reducing driving risk with foresight
ActiveUS20120100509A1Improve driver behaviorReduce the cost of insuranceCosmonautic condition simulationsFinanceDriving riskData profiling
A system for creating a coaching session comprises one or more processors and one or more memories. The one or more processors are in communication with the event detector and configured to: receive data of a driving event from an event detector associated with a vehicle; analyze the driving event data to identify risky driving behavior; and create a coaching session in order to reduce the identified risky driving behavior. The coaching session incorporates at least a portion of the data of the driving event. The one or more memories are coupled to the one or more processors and configured to provide the one or more processors instructions.
Owner:DRIVECAM
Device for preventing faulty operation for using accelerator as brake by mistake based on computer vision
InactiveCN101875348AAvoid inconsistenciesAccurate operationFoot actuated initiationsAutomatic initiationsDriver/operatorDecision control
The invention relates to a device for preventing faulty operation for using an accelerator as a brake by mistake based on computer vision, which comprises a vision sensor, an embedded system, a vehicle speed measuring unit, a vehicle driving angle measuring unit, a distance measuring unit, a voice alarm unit, an accelerator control unit, a brake control unit and a power supply unit, wherein the embedded system is used for reading the information of driving speed of a vehicle, a vehicle steering wheel angle, a video image of a front road of the vehicle, and the like, estimating a barrier distance on the front road and calculating a driving risk factor and driving risk change tendency according to the barrier distance, the vehicle steering wheel angle and the speed of the vehicle. The invention makes a corresponding driving decision according to the driving risk factor and the driving risk change tendency, controls the voice alarm unit to produce drive warning sound according to the driving decision, controls the accelerator control unit to allow the action effectiveness of stepping the accelerator by a driver and controls the brake control unit to control the automatic brake of the vehicle.
Owner:ZHEJIANG UNIV OF TECH
Monitoring and evaluation method of driving behavior risk degrees
ActiveCN104527647AImplement active safety featuresImprove ubiquityDriver input parametersActive safetyState parameter
The invention relates to a monitoring and evaluation method of driving behavior risk degrees and belongs to the technical field of automobile active safety. The method includes that steering wheel rotating angles, vehicle speed, longitudinal acceleration and transverse acceleration are real-timely collected; the real-timely collected data are arranged to form a data sequence in chronological sequence; driving risk degrees of acceleration, braking, overspeed, lave maintaining and lane changing are monitored and evaluated respectively according to vehicle state parameter and driver operation parameter information; comprehensive monitoring and evaluation of total driving risk degree at current moment is performed according to each risk degree index that is obtained in time window wide range so that a comprehensive monitoring and evaluation value at the current moment is obtained. Communication of the obtained comprehensive monitoring and evaluation value with a driver is achieved through an on-line real-time early warning man-machine interaction mode, and thereby, purposes of improving driving safety qualities and reducing road traffic accidents can be achieved.
Owner:TSINGHUA UNIV +1
Driving behavior evaluation system
ActiveCN107784587AReduce compensation costsEasy to controlFinanceRegistering/indicating working of vehiclesDriving riskEvaluation system
The invention provides a driving behavior evaluation system which comprises a vehicle-mounted intelligent terminal, a cloud server, a mobile client and a management background. The vehicle-mounted intelligent terminal is used to collect and process vehicle data and transmit the data to the cloud server. The cloud server is provided with a driving risk scoring model which periodically calculates and scores driving data. A user views driving behavior evaluation in the account of the user through the mobile client. An insurance company views the driving behavior evaluation and data details of thecorresponding user through the management background. The system provided by the invention can visually detect and evaluate key driving safety factors, prevents risk understanding rule revising caused by indicators used in a guarantee slip, and reduces the claims cost of an insurance company.
Owner:DALIAN ROILAND SCI & TECH CO LTD
Big data-based driving risk assessment method
The invention relates to the technical field of driving safety, in particular to a big data-based driving risk assessment method. The big data-based driving risk assessment method comprises the steps of performing long-term accumulation on driving risk assessment data, including risk assessment factors such as vehicle condition data of vehicles, driving behavior data of vehicle drivers, weather condition data of places in which the vehicles are located, road condition data of roads on which the vehicles are located, accident data of the vehicles and the like, of a sufficient number of vehicles; performing big data risk analysis on the risk assessment factors to obtain a relationship between each risk assessment factor and driving risk; generating a driving risk assessment model according to the relationship between each risk assessment factor and the driving risk; and finally performing risk assessment on real-time driving risk assessment data of a target vehicle by utilizing the driving risk assessment model to obtain real-time driving risk of the target vehicle. According to the technical scheme, the factors such as driving behaviors of the drivers, weather and the like are considered, so that the driving risk can be more accurately predicted in comparison with the prior art.
Owner:SIJIAN TECH CO LTD
Method and system for tuning the effect of vehicle characteristics on risk prediction
ActiveUS20130021148A1Registering/indicating working of vehiclesOptical signallingDriving riskComputer science
Owner:DRIVECAM
Vehicle driving risk prediction method based on time varying state transition probability markov chain
ActiveCN107742193AMeet the real-time requirements of anti-collision warningImprove accuracyResourcesDriving riskRisk model
The invention provides a vehicle driving risk prediction method based on time varying state transition probability markov chain. Firstly, an offline vehicle driving risk prediction model training: based on samples of accidents and near accidents, real-time vehicle driving risk states are divided by clustering time window characteristics parameters and regarded as countable states of the markov chain, and a multiterm logistic model of vehicle driving risk states transition in different vehicle driving risk states is built. Secondly, an online vehicle driving risk model real-time prediction: under the circumstance of car networking, the variable parameters required by a prediction model are collected in real time, through a risk state clustering center position and markov property, an original state probability distribution vector and a markov chain n steps transition probability at any time in the future are calculated, and the prediction result of the vehicle risk states in the futureis obtained. According to the invention, by means of a recurrence algorithm, the estimation of markov chain n steps time varying state transition probability is achieved, which can reflect the characteristics of the vehicle driving risk states changing with the characteristics of the transportation system, and can meet the requirement of early warning in real time.
Owner:JIANGSU UNIV
Road vehicle intelligent early warning method, apparatus, and mobile terminal
The invention discloses a road vehicle intelligent early warning method and an apparatus. The method includes: acquiring basic static information of vehicles and drivers to form a basic information database; acquiring dynamic road condition information of the vehicles; selecting the static information and the dynamic road condition information, and calculating the real-time danger coefficient according to a preset algorithm; and comparing the real-time danger coefficient and a preset danger coefficient threshold, determining the current danger grade of the vehicle, and emitting corresponding prompts. According to the method, the apparatus, and the mobile terminal, the drivers can obtain calculated driving risk according to the real-time road condition with the combination of pre-stored static data and driving guides in the driving process, and accidents can be prevented.
Owner:NUBIA TECHNOLOGY CO LTD
Method and device for operating autonomous vehicle
ActiveCN106347359ARealize automatic labelingReduce workloadExternal condition input parametersResourcesDriving riskAutopilot
The invention discloses a method and a device for operating an autonomous vehicle. According to one embodiment, the method comprises the following steps: collecting driving schemes adopted by a driver when the driver performs exception interfering on semi-autonomous vehicle and driving scene information of the semi-autonomous vehicle in driving scenes; determining the risk grades of driving risks of the semi-autonomous vehicle in the driving scenes according to the driving schemes adopted by the driver; decomposing object information of all scene objects in the driving scenes from the driving scene information; learning the object information and the corresponding risk grades, recognizing risk objects relevant to the risk grades in the scene objects, and determining the association relationship between the object information of the risk objects and the risk grades, so as to serve as a risk assessment strategy of the autonomous vehicle; recognizing the risk grade of the driving risk of the autonomous vehicle through the risk assessment strategy. The embodiment realizes the automatic recognition of the driving risk of the autonomous vehicle.
Owner:BEIJING BAIDU NETCOM SCI & TECH CO LTD
Driving risk evaluation method and system
InactiveCN107909678AHigh precisionHigh driving risk assessment resultsRegistering/indicating working of vehiclesResourcesEvaluation resultDriving risk
The invention discloses a driving risk evaluation method and a driving risk evaluation system and relates to the field of traffic risk evaluation. The driving risk evaluation method comprises the following steps: acquiring driving information of a vehicle; processing driving information so as to obtain abnormal driving information of the vehicle; acquiring accident information, and establishing amachine learning model for evaluating driving risks according to the abnormal driving information and the accident information; evaluating the driving risks of the vehicle according to the machine learning model. By adopting the driving risk evaluation method and the driving risk evaluation system disclosed by the invention, driving risk evaluation results with very high precision can be acquired,risks of an evaluated vehicle can be accurately and objectively evaluated, fine requirements on risk evaluation are met, adverse driving behaviors of drivers can be corrected in time, and accident risks can be reduced.
Owner:SIJIAN TECH CO LTD
Optimization method and system of vehicle collision early-warning and vehicle speed guidance
InactiveCN109413572AGood auxiliary effectAccurate early warning informationDetection of traffic movementParticular environment based servicesDriving riskTarget signal
The invention discloses an optimization method of vehicle collision early-warning and vehicle speed guidance. The method comprises: obtaining all target vehicle signals in a set range by a main vehicle, and forming a target signal list according to obtaining time; obtaining running status of the main vehicle in real time, and using a manner of GPS and DR combination navigation to optimize a running track and the running status of the main vehicle; using running status quantity of the main vehicle after filtering to estimate and optimize current road curvature; using the main vehicle and targetvehicles to calculate relative position relationships, and combining the road curvature to carry out judgment of relative lanes, running directions and orientations; classifying the target signals, and if a target is a vehicle, carrying out track-based prediction, and carrying out collision early-warning through calculating collision time and collision distance; if the target is a roadside unit,carrying out corresponding roadside-unit reminding and vehicle speed guidance; and obtaining an alarming information list of the target signals. Adoption of the technical solution for automatic driving has a very good auxiliary effect, provides more accurate early-warning information, and reduces driving risks.
Owner:HUIZHOU DESAY SV AUTOMOTIVE
Vehicle driving risk evaluation method considering driving style
The invention discloses a vehicle driving risk evaluation method considering a driving style, which overcomes the problems that the prior art does not take into account the differences of driving habits of drivers with different styles, and the evaluation method is not personalized and humanized. The method comprises the following steps: 1) evaluating the driver's radical degree by using historical driving control data; 2) predicting that driving state base on the real-time vehicle running data and using the hidden Markov model; 3) for different driving states, establishing the fuzzy controller with different characteristic parameters to evaluate the driving risk; 4) using the driver's radical degree to correct the drive risk degree to obtain the final driving risk degree: carrying out thesuperposition correction of the driver's radical degree on the value of the drive risk degree in the range of [0.3, 0.7], and obtaining the final driving risk degree output result; therefore, for drivers with high or lower aggressiveness, the driving risk value within [0.3, 0.7] will increase or decrease.
Owner:JILIN UNIV
Driving risk analysis and risk data sending method and device
ActiveCN107749193AReduce data volumeReduce latencyParticular environment based servicesAnti-collision systemsRisk profilingDriving risk
The invention relates to a driving risk analysis and risk data sending method and device and belongs to the Internet of vehicles technology field. The method comprises steps that the position of firstequipment is acquired, and the first equipment is equipment of which risk analysis is to be carried out; first risk areas are determined according to vehicle driving lines corresponding to the position, and the first risk areas are areas having influence on driving behaviors of location vehicles of the first equipment; the first risk areas are screened to acquire risk data; the risk data is sentto the first equipment; the risk data comprises the vehicle, pedestrian and obstacle state data having bump risks with the location vehicles of the first equipment and traffic environment data havinginfluence on the driving behaviors of the location vehicles of the first equipment. The method is advantaged in that data sending time delay is reduced, bandwidth requirements of mutually-notified vehicle state data among the equipment are reduced, air interface resource scheduling frequency requirements are further reduced, and communication performance is improved.
Owner:HUAWEI TECH CO LTD
Method and system to estimate driving risk based on a hierarchical index of driving
Owner:TOYOTA MOTOR CO LTD
Driving risk assessment method and device
ActiveCN109389824AAccurate and effective tipsAvoid traffic accidentsDetection of traffic movementDriving riskTraffic accident
The embodiment of the present invention discloses a driving risk assessment method and device. The method comprises the steps of: obtaining first driving data of a vehicle to be assessed, second driving data of a moving target, traffic environmental data of a target region and historical road accident data of the target region; determining a dynamic risk factor according to the first driving dataof the vehicle to be assessed and the second driving data of the moving target; determining a semi-dynamic risk factor according to the traffic environmental data; determining a static state risk factor according to the historical traffic accident data and the traffic environmental data; fusing the dynamic risk factor, the semi-dynamic risk factor and the static state risk factor to obtain a comprehensive risk factor; and determining a traffic risk grade according to the comprehensive risk factor. The driving risk assessment method and device combines various factors influencing the crossing risks based on the complexity and the variability of the crossing condition to determine the final traffic risk grade, and therefore, the driving risk assessment method and device can accurately and effectively prompt the risks to drives to avoid the traffic accidents.
Owner:HUAWEI TECH CO LTD
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