Abstract: Techniques for operation of a vehicle using machine learning with motion planning include storing, using one or more processors of a vehicle located within an environment, a plurality of constraints for operating the vehicle within the environment. One or more sensors of the vehicle receive sensor data describing the environment. The one or more processors extract a feature vector from the stored plurality of constraints and the received sensor data. The feature vector includes a first feature describing an object located within the environment. A machine learning circuit of the vehicle is used to generate a first motion segment based on the feature vector. A number of violations of the stored plurality of constraints is below a threshold. The one or more processors operate the vehicle in accordance with the generated first motion segment.

Abstract: Techniques are provided for operation of a vehicle using multiple motion constraints. The techniques include identifying an object using one or more processors of a vehicle. The vehicle has a likelihood of collision with the object that is greater than a threshold. The processors generate multiple motion constraints for operating the vehicle. At least one motion constraint includes a minimum speed of the vehicle greater than zero to avoid a collision of the vehicle with the object. The processors identify one or more motion constraints for operating the vehicle to avoid a collision of the vehicle with the object. The processors operate the vehicle in accordance with the identified motion constraints.

Abstract: Among other things, a vehicle is caused to drive autonomously through a road network toward a defined goal position at which a stopped activity is to occur. A set of acceptable stopping places is identified in the vicinity of the goal position. The identifying of the set includes: identifying a proximity region in the vicinity of the goal position, identifying a goal region within the proximity region, discretizing the goal region to identify acceptable stopping places given characteristics of the vehicle and of the stopped activity analyzing current information about potential stopping places in the goal region in the vicinity of the goal position to make a choice of a currently selected stopping place that is acceptable and feasible. Current information is analyzed about the potential stopping places, to make a choice of a currently selected stopping place that is acceptable and feasible the vehicle is caused to drive autonomously toward the currently selected stopping place.

Abstract: Among other things, a system provides speed behavior planning for vehicles with autonomous driving capabilities.

Abstract: Among other things, a vehicle is caused to drive autonomously through a road network toward a defined goal position. Current information is analyzed about potential stopping places in the vicinity of the goal position, to make a choice of a currently selected stopping place that is acceptable and feasible. The vehicle is caused to drive autonomously toward the currently selected stopping place. The activities are repeated until the vehicle stops at a currently selected stopping place.

Abstract: Among other things, a vehicle is caused to drive autonomously through a road network toward a defined goal position. Current information is analyzed about potential stopping places in the vicinity of the goal position, to make a choice of a currently selected stopping place that is acceptable and feasible. The vehicle is caused to drive autonomously toward the currently selected stopping place. The activities are repeated until the vehicle stops at a currently selected stopping place.

Abstract: Among other things, a vehicle is caused to drive autonomously through a road network toward a defined goal position at which a stopped activity is to occur. A set of acceptable stopping places is identified in the vicinity of the goal position. The identifying of the set includes: identifying a proximity region in the vicinity of the goal position, identifying a goal region within the proximity region, discretizing the goal region to identify acceptable stopping places given characteristics of the vehicle and of the stopped activity analyzing current information about potential stopping places in the goal region in the vicinity of the goal position to make a choice of a currently selected stopping place that is acceptable and feasible. Current information is analyzed about the potential stopping places, to make a choice of a currently selected stopping place that is acceptable and feasible the vehicle is caused to drive autonomously toward the currently selected stopping place.

Abstract: A distributed traffic signal control method is provided for a directed network comprising a plurality of junctions, each junction having a plurality of links connected thereto, the links comprising one or more upstream links and one or more downstream links, the method comprising: activating one of a plurality of phases of the junction for a predetermined time period which maximizes the directed network throughput based on current differential traffic backlogs between said one or more upstream links and said one or more downstream links, each phase providing a unique combination of traffic signals at the junction for guiding traffic from the upstream link(s) to the downstream link(s). There is also provided a corresponding traffic signal controller, a traffic control system comprising the traffic signal controller, and a computer readable medium having stored therein computer executable codes for instructing a computer processor to execute the distributed traffic signal control method.

Abstract: A distributed traffic signal control method is provided for a directed network comprising a plurality of junctions, each junction having a plurality of links connected thereto, the links comprising one or more upstream links and one or more downstream links, the method comprising: activating one of a plurality of phases of the junction for a predetermined time period which maximizes the directed network throughput based on current differential traffic backlogs between said one or more upstream links and said one or more downstream links, each phase providing a unique combination of traffic signals at the junction for guiding traffic from the upstream link(s) to the downstream link(s). There is also provided a corresponding traffic signal controller, a traffic control system comprising the traffic signal controller, and a computer readable medium having stored therein computer executable codes for instructing a computer processor to execute the distributed traffic signal control method.