The disclosure relates to a method for evaluating a driving behavior, wherein detected driving data of at least one human driver, or detected driving data of at least one automated driving vehicle are obtained, wherein a key performance indicator is determined based on the obtained driving data, wherein both a travel time as well as an energy efficiency and/or emissions efficiency are taken into account in determining the key performance indicator, wherein the determined key performance indicator is provided as an evaluation result.

The disclosure relates to a method for evaluating a driving behavior, wherein detected driving data of at least one human driver, or detected driving data of at least one automated driving vehicle are obtained, wherein a key performance indicator is determined based on the obtained driving data, wherein both a travel time as well as an energy efficiency and/or emissions efficiency are taken into account in determining the key performance indicator, wherein the determined key performance indicator is provided as an evaluation result.

A method for determining a transportation mode acquires magnetometer and speed data from a mobile device, correlates the magnetometer to the speed data in groupings, and performs spectral analysis on the groups of magnetometer data. Energy calculated for each of a set of frequency components obtained from the spectral analysis is compared to a baseline value to generate a difference, and a transportation mode type is assigned to the vehicle based on the difference.

Provided is a vehicle stop support system for supporting vehicle stop in an emergency condition. The vehicle stop support system sets a target time period based on physical abnormality of a driver; sets an allowable lateral acceleration, based on the abnormality; estimates a time period required to reach each of a plurality of stop point candidates; estimates a lateral acceleration to be generated during traveling of a vehicle to each of the candidates; sets a stop point; and controls the vehicle to travel to the stop point and stop at the stop point. The system is operable to set, as the stop point, one of the candidates which satisfies a condition that the lateral acceleration estimated with respect thereto is equal to or less than the allowable lateral acceleration, and the required time period estimated with respect thereto is equal to or less than the target time period.

Provided is a vehicle stop support system for supporting vehicle stop in an emergency condition. The vehicle stop support system sets a target time period based on physical abnormality of a driver; sets an allowable lateral acceleration, based on the abnormality; estimates a time period required to reach each of a plurality of stop point candidates; estimates a lateral acceleration to be generated during traveling of a vehicle to each of the candidates; sets a stop point; and controls the vehicle to travel to the stop point and stop at the stop point. The system is operable to set, as the stop point, one of the candidates which satisfies a condition that the lateral acceleration estimated with respect thereto is equal to or less than the allowable lateral acceleration, and the required time period estimated with respect thereto is equal to or less than the target time period.

An autonomous driving controller includes: a processor to collect driving data when a vehicle is traveling and calculate a steering override reference value, which is a criterion of determining an override mode, based on the collected driving data; and a storage to store the collected driving data and a set of instructions executed by the processor to calculate the steering override reference value. In particular, the processor controls autonomous driving by varying the steering override reference value based on the collected driving data or information regarding a driver of the vehicle.

The present disclosure provides a method and system for vehicle driving data collection. The method includes: sending, by a vehicle central processor, a data collection instruction and a synchronization clock signal to each onboard sensor, wherein the data collection instruction is a control signal for the sensor to be turned on or off; converting vehicle driving data and environmental data collected by the onboard sensor into a digital signal, adding a time stamp to the collected vehicle driving data and environmental data, and transmitting uncompressed digital signal to the vehicle central processor through an optical fiber; and synthesizing, by the vehicle central processor, the collected vehicle driving data and environmental data, and synchronizing the collected vehicle driving data and environmental data according to the time stamp, to obtain a driving state of the vehicle.

The present disclosure provides a method and system for vehicle driving data collection. The method includes: sending, by a vehicle central processor, a data collection instruction and a synchronization clock signal to each onboard sensor, wherein the data collection instruction is a control signal for the sensor to be turned on or off; converting vehicle driving data and environmental data collected by the onboard sensor into a digital signal, adding a time stamp to the collected vehicle driving data and environmental data, and transmitting uncompressed digital signal to the vehicle central processor through an optical fiber; and synthesizing, by the vehicle central processor, the collected vehicle driving data and environmental data, and synchronizing the collected vehicle driving data and environmental data according to the time stamp, to obtain a driving state of the vehicle.

Systems, devices, computer-implemented methods, and/or computer program products that facilitate dynamic curve speed control adaptive to road conditions. In one example, a system can comprise a process that executes computer executable components stored in memory. The computer executable components can comprise a curvature component, a road condition component, and a safety component. The curvature component can generate composite curvature data for a curve of a road preceding a vehicle using digital map data and lane marker data. The road condition component can generate friction data for a surface of the road using sensor data obtained from an on-board sensor of the vehicle. The safety component can determine a safe operational profile for traversing the curve using the composite curvature data and the friction data.

Systems, devices, computer-implemented methods, and/or computer program products that facilitate dynamic curve speed control adaptive to road conditions. In one example, a system can comprise a process that executes computer executable components stored in memory. The computer executable components can comprise a curvature component, a road condition component, and a safety component. The curvature component can generate composite curvature data for a curve of a road preceding a vehicle using digital map data and lane marker data. The road condition component can generate friction data for a surface of the road using sensor data obtained from an on-board sensor of the vehicle. The safety component can determine a safe operational profile for traversing the curve using the composite curvature data and the friction data.