An apparatus comprising an interface, a memory and a processor. The interface may be configured to receive sensor data samples during operation of a vehicle. The memory may be configured to store the sensor data samples over a number of points in time. The processor may be configured to analyze the sensor data samples stored in the memory to detect a pattern. The processor may be configured to manage an application of brakes of the vehicle in response to the pattern.

An apparatus comprising an interface, a memory and a processor. The interface may be configured to receive sensor data samples during operation of a vehicle. The memory may be configured to store the sensor data samples over a number of points in time. The processor may be configured to analyze the sensor data samples stored in the memory to detect a pattern. The processor may be configured to manage an application of brakes of the vehicle in response to the pattern.

In one embodiment, planning data is received, for example, from a planning module, to drive an autonomous driving vehicle (ADV) from a starting location and a destination location. In response, a series of control commands are generated based on the planning data, where the control commands are to be applied at different points in time from the starting location to the destination location. A cost is calculated by applying a cost function to the control commands, a first road friction to be estimated in a current trip, and a second road friction estimated during a prior trip from the starting location to the destination location. The first road friction of the current trip is estimated using the cost function in view of a prior termination cost of the prior trip, such that the cost reaches minimum.

A traffic monitoring system for a traffic area with parking surfaces for vehicles or a freely arrangeable row of vehicles includes overhead radar sensors oriented towards the area for capturing a chronological sequence of digital radar images thereof. An analyzing unit detects vehicles parked on the area and ascertains locations and dimensions thereof from the captured sequence and determines an occupancy state of the surfaces from a data comparison of the ascertained locations and dimensions of parked vehicles with configured geodata of surfaces. The parking surface is occupied or free for a vehicle, and a parking surface for a freely arrangeable row of vehicles is occupied or provided by one or more free parking spaces. An image output unit outputs a map view of the area with marked surfaces and the current occupancy state of the surfaces. The traffic monitoring system allows a more effective monitoring of the area.

Aspects of the present disclosure include a navigation system and computer-implemented methods for proactively re-routing vehicles based on an analysis of input component data obtained from the navigation-enabled devices. The navigation system scores the input component data to obtain a measure of frustration (e.g., a feeling of being upset or annoyed) of the user of the navigation-enabled device. The navigation system may provide a detour suggestion for display on the navigation-enabled device to persuade the user of the device to direct their vehicle to depart from its current location or route in an effort to remove the vehicle from traffic, and thereby reduce the frustration level of the user. The detour suggestion may include an alternative route to the original destination, or an alternative destination.

A vehicle-mounted interface device includes a receiver and a determiner. The receiver receives an input from a driver who drives a vehicle. On the basis of the input received by the receiver, the determiner determines whether or not the driver is familiar with a route along which the driver is to drive or is driving the vehicle.

In one embodiment, a computing system accesses current usage information of a mobile device associated with a user. The computing system then determine a future user state of the user based on multiple predictor functions. The multiple predictor functions calculate a probability of the future user state based on multiple weights and multiple decay factors. The multiple decay factors are determined from past user states. The computing system further sends instructions to the mobile device for adapting the operation of the mobile device corresponding to the determined future user state.

The driving assistance device acquires, from an autonomous driving controller that determines an action of a vehicle during autonomous driving of the vehicle, action information indicating a first action that the vehicle is caused to execute. The driving assistance device acquires, from a detector that detects a surrounding situation and a travel state of the vehicle, detection information indicating a detection result. The driving assistance device determines a second action which is executable in place of the first action, based on the detection information. The driving assistance device generates a first image representing the first action and a second image representing the second action. The driving assistance device outputs the first image and the second image to a notification device such that the first image and the second image are displayed within a fixed field of view of a driver of the vehicle.

A traffic flux maximization method and system to control traffic flow by combining classical computing machine learning to predict traffic flux minimization before its occurrence, with quantum annealing to optimize future positions of vehicles. Vehicles are redirected to minimize the travel time for each vehicle, taking into account other vehicles in the road network.

A system and method for providing an infrastructure based safety alert associated with at least one roadway that include identifying road users located within a surrounding environment of the at least one roadway. The system and method also include determining road user related data and roadway related data. The system and method additionally include processing roadway behavioral data associated with a non-equipped vehicle. The system and method further include providing a roadway safety alert based on the roadway behavioral data.