Andrew B. Dunwoody

Bio: Andrew B. Dunwoody is an academic researcher from Mercer University. The author has contributed to research in topics: Roll center & Rollover. The author has an hindex of 2, co-authored 2 publications receiving 229 citations.

System and method for the detection of vehicle rollover conditions

Abstract: A system uses multiple tilt sensors mounted to the vehicle frame and the vehicle suspension system to detect lateral acceleration and lateral load transfer. The system uses these measurements to determine a lateral load transfer ratio indicative of an actual roll moment compared to a maximum roll moment. The measurements from the tilt sensors are also used to calculate an effective center of gravity height. A display coupled to the system provides the vehicle operator with a read out of the load transfer ratio and effective center of gravity height. The display enables the vehicle operator to more completely understand the nature of the vehicle load and thereby allow the vehicle operator to avoid conditions likely to lead to a vehicle rollover accident.

System and method for monitoring and improving driver behavior

Abstract: System and method for providing feedback to drivers. The system monitors selected vehicle parameters while a vehicle is being driven, and detects one or more vehicle operation violations by comparing the selected vehicle parameters to predetermined thresholds. A mentoring message is provided to the driver if the threshold is exceeded. If a vehicle operation violation has not been corrected within a preselected time period, then a violation report may be sent to a third party or a central server and/or a different mentoring message may be provided to the driver. Vehicle parameter data may be monitored from an on-board vehicle diagnostic system. The mentoring message may be an audible warning, such as a spoken message, or a visual warning, such as a text message. The selected vehicle parameters may be a vehicle speed, a vehicle acceleration, or a vehicle seatbelt use.

System and method for evaluating driver behavior

Abstract: System and method for evaluating driver performance, comprising detecting operations of a vehicle using an on-board vehicle monitoring system, comparing the operations to predetermined criteria, identifying violations of the predetermined criteria, tracking violations that occur during an evaluation period, and, at the end of the evaluation period, calculating a grade associated with operation of the vehicle.

System and method for categorizing driving behavior using driver mentoring and/or monitoring equipment to determine an underwriting risk

Abstract: System and method for monitoring and mentoring driver behavior and vehicle operation and for categorizing or grading a driver's performance. The driver's classification or grade is used to determine or adjust insurance rates, premiums or coverages for the driver. The driver may receive discounted insurance rates for using monitoring and/or mentoring equipment in the vehicle. Insurance companies may use the driver classifications or grades to bid for coverage of groups of drivers having similar classifications or grades.

Vehicle event recorder systems

Abstract: The present invention relates to a vehicle recorder system that is configured with a video camera, a light weight memory system, and a radio communications facility suitable for use in conjunction with an moving vehicle. An automobile equipped with such video recorder system that is used throughout a day of service provides a video record of unusual events which may occur from time-to-time. For example, events such as accidents, near-misses, and excessive speed, among others, trigger a system to preserve video images collected before and after the moment of the event. Replaying these images provides information regarding the cause and true nature of the event. These systems are particularly suitable for vehicle fleets, or other groups of vehicles that can communicate with a common system.

System and method for monitoring and updating speed-by-street data

Abstract: System and method for identifying speeding violations, comprising determining a current speed and a current location of a vehicle, determining a posted speed limit for the current location from a speed-by-street database, comparing the current speed of the vehicle to the posted speed limit, and evaluating whether the current speed exceeds the posted speed limit. Errors are identified in the speed-by-street database by storing a plurality of speeding violation records, wherein the speeding violation records each include a speeding event location; analyzing the speeding violation records to identify one or more speeding event locations having multiple speeding violations; comparing a posted speed limit at the one or more speeding event locations having multiple speeding violations to corresponding speed limit data in the speed-by-street database; and identifying one or more speed limit entries in the speed-by-street database that do not match the posted speed limit.