A system for providing driver behavior feedback to driver of a host vehicle in a lane of a roadway may include a sensor to be mounted in the host vehicle for detecting a remote vehicle in front of the host vehicle in the lane and, upon detecting the remote vehicle, generating a remote vehicle detection signal. The system may also include controller to be mounted in the host vehicle, wherein the controller, in response to receipt of the remote vehicle detection signal, is configured to repeatedly determine a time to collision between the host vehicle and the remote vehicle, compare each determined time to collision to a threshold time, and generate a driver feedback signal for use in providing an indication to the host vehicle driver of a measure of host vehicle driver behavior based on a number of times the determined time to collision exceeds the threshold time.

A vehicle running control method includes: when a junction section lane is present adjacent to a traveling lane of a host vehicle, collecting, by a processor, vehicle information of at least one vehicle traveling in the junction section lane; determining, by the processor, the possibility of cut-in of junction section lane vehicles based on the collected vehicle information and whether the traveling lane is congested; and controlling, by the processor, at least one of the traveling path or the traveling velocity of the host vehicle based on the result of determination in order to display an intention to yield.

A method, system and computer-usable medium are disclosed for autonomous vehicle (AV) behavior synchronization. The AV driving pattern is adjusted to facilitate an occupant's satisfaction by receiving information as to person to form a driving history. The driving history is analyzed to identify preferences and patterns. Based on the driving history a driving preference model is formed for the person. AV driving algorithm(s) are adjusted based on the driving preference model for the person when the person is an occupant of the AV.

A method for estimating a longitudinal force difference ΔFx acting on steered axle wheels of a vehicle, the method comprising obtaining data from the vehicle related to an applied steering torque M.sub.steer associated with the steered axle wheels, obtaining a scrub radius value r.sub.s associated with the steered axle wheels, and estimating the longitudinal force difference ΔFx, based on the obtained data and on the scrub radius r.sub.s, as proportional to the applied steering torque M.sub.steer and as inversely proportional to the scrub radius r.sub.s.

Provided is a vehicle control apparatus capable of preventing sudden deceleration of a vehicle to be controlled even in a case of failure to recognize a step condition at a predetermined position. The vehicle control apparatus 140 is mounted on the vehicle. The vehicle control apparatus 140 includes a position acquisition unit F1 configured to acquire a position of the vehicle, a route acquisition unit F2 configured to acquire a planned route of the vehicle, a recognition unit F3 configured to recognize a stop condition included in image data Dg from an imaging device, a range setting unit F4 configured to set a recognizable range for the stop condition in the planned route, a speed calculation unit F5 configured to calculate a braking speed of the vehicle, the braking speed allowing the vehicle to stop at a stop position corresponding to the stop condition without an acceleration of the vehicle during deceleration exceeding a set value, and a traveling control unit F6 configured to control a speed of the vehicle to the braking speed when the position of the vehicle is included in the recognizable range and the recognition unit fails to recognize the stop condition.

Methods and systems that use a phantom vehicle to help generate a planned path for a real-world vehicle are described. The system will identify a starting point and a destination for a trip of the real-world vehicle. The system will select, from the data store of vehicle profiles, a phantom vehicle having an associated motion planning system that corresponds to a system that is deployed on the real-world vehicle. The system will use a high definition map to generate a planned route for the real-world vehicle from the starting point to the destination in the map. The system will run a simulation in which the phantom vehicle moves along the planned route in the map. The system will then output a record of the simulation to a user of the real world-vehicle or to a system of the real-world vehicle.

Disclosed embodiments provide a technical improvement for providing localization for a transportation vehicle by detecting road wear reference lines in a roadway on which the transportation vehicle is travelling and controlling, guiding or otherwise facilitating alignment of the transportation vehicle wheel centers with the detected centers of the road wear.

A device for controlling a hybrid vehicle includes a storage storing a map in which an on reference value and an off reference value of an engine are recorded, a navigation device setting a route from a current location to a destination, a transceiver receiving a speed profile for each section on the route, and a controller dividing the route into a plurality of sections and correcting the map based on the received speed profile for each section to correct a map for determining an on time point and an off time point of an engine based on the speed profile most similar to the driving style of a driver.

A travel assistance method for performing a lane change of a host vehicle includes: detecting an oncoming vehicle traveling in an opposite lane from which the host vehicle travels when the host vehicle starts the lane change; determining a crossing point between a virtual advancing route and a linear advancing route in which the oncoming vehicle advances linearly, the virtual advancing route being a virtual extension of an advancing route of the host vehicle during a period from start to end of the lane change; executing a lane change using the route and the vehicle speed in a case where a time difference between a first predicted time and a second predicted time is outside a predetermined range; and when within the predetermined range, executing a lane change by changing at least one of the route and the vehicle speed such that the time difference is outside the predetermined range.

A method for automatically guiding a track of a vehicle which includes at least two wheels on each vehicle side and a track guidance system which is able to detect at least one lane groove within a driving lane, the method including influencing a track guidance of the vehicle as a function of a detection of the at least one lane groove, wherein the track guidance system includes a lane groove following mode in which the track guidance of the vehicle is influenced by the track guidance system after the at least one lane groove has been detected so that the vehicle follows the at least one detected lane groove in that at least two wheels at least at one vehicle side are caused to overlap the at least one detected lane groove.