Abstract: A method of operating a traffic management system may comprise identifying a vehicle queue in a first lane of a road based on sensor data from one or more connected vehicles traveling along the road, determining driving instructions for a connected vehicle within a queue management region in a second lane, adjacent to the first lane, to create a gap in front of the connected vehicle for a vehicle in the vehicle queue to change lanes into the gap, and transmitting the driving instructions to the connected vehicle.

Abstract: In an example, a method receives vehicle data for a plurality of vehicles associated with a geographic region. The method determines, based on the vehicle data, a connected vehicle status of the geographic region. The connected vehicle status reflects an estimated number of connected vehicles in the geographic region at a point in time. The method determines, based on the estimated number of connected vehicles, one or more vehicle functions to be deployed by a server associated with the geographic region. The method deploys, by the server, the one or more vehicle functions.

Abstract: The disclosure includes embodiments of connected vehicle maneuvering management for a set of vehicles. A method includes analyzing sensor data to determine a driver behavior pattern responsive to in-lane interaction and out-lane interaction. The method includes determining ego index data for an ego driver of the ego vehicle based on the in-lane interaction and the out-lane interaction. The method includes retrieving a set of remote index data for a set of remote connected vehicles in a vicinity of the ego vehicle. The method includes determining a current driving context of the ego vehicle including current in-lane interaction and current out-lane interaction. The method includes causing an operation of at least one of the ego vehicle and one or more of the set of remote connected vehicles to be modified.

Abstract: A method of creating a parking facility map includes obtaining one or more images of a parking facility, generating an estimate map of parking spaces in the parking facility based at least on the one or more images (the estimate map of parking spaces includes a plurality of estimate parking space shapes), identifying a parking block that includes a cluster of estimate parking spaces among the plurality of estimate parking space shapes, determining a common geometric pattern among the cluster of estimate parking spaces, correcting geometrical features of one or more estimate parking spaces in the cluster of estimate parking spaces based at least in part on the common geometric pattern, identifying one or more gaps among the cluster of estimate parking space shapes, and determining a number of inserted parking spaces to fill the one or more gaps based at least in part on the common geometric pattern.

Abstract: A system and method for controlling one or more vehicles with one or more controlled vehicles may include one or more processors and a memory in communication with the one or more processors. The memory may include one or more modules that cause the one or more modules to obtain a state of an environment having a universe of vehicles operating therein, identify one or more anomaly vehicles from the universe of vehicles operating in the environment, select one more actions to control a plurality of controlled vehicles to control the operation of one or more anomaly vehicles and direct the plurality of controlled vehicles execute the one or more actions. The selecting of one or more actions may be performed by utilizing a reinforcement-learning trained algorithm.

Abstract: Systems and methods for analyzing the in-lane driving behavior of an external road agent are disclosed herein. One embodiment generates a sequence of sparse 3D point clouds based on a sequence of depth maps corresponding to a sequence of images of a scene; performs flow clustering based on the sequence of depth maps and a sequence of flow maps to identify points across the sequence of sparse 3D point clouds that belong to a detected road agent; generates a dense 3D point cloud by combining at least some of the points across the sequence of sparse 3D point clouds that belong to the detected road agent; detects one or more lane markings and projects them into the dense 3D point cloud to generate an annotated 3D point cloud; and analyzes the in-lane driving behavior of the detected road agent based, at least in part, on the annotated 3D point cloud.

Abstract: System, methods, and embodiments described herein relate to receiving observation data from a reporting entity, the observation data including location data and sensor information associated with a subject vehicle, analyzing the observation data to identify ADR behavior of the subject vehicle, obtaining secondary observation data from secondary reporting entities in a vicinity determined based on the location data, determining, based at least in part on the secondary observation data, that the subject vehicle has engaged in the ADR behavior or that the subject vehicle has not engaged in the ADR behavior, analyzing the observation data and the secondary observation data, when the subject vehicle has been confirmed to have engaged in the ADR behavior, to determine a measure of effect that the ADR behavior has had on other vehicles, and executing a responsive action associated with the subject vehicle based at least in part on the measure of effect.

Abstract: A method comprises determining a plurality of available parking spaces within a threshold distance of a destination; determining an initial utility score for each of the available parking spaces based on a distance between each of the available parking spaces and the destination; determining a safety score associated with each of the available parking spaces based on crime data and a distance between each of the parking spaces and a major street, an entrance to a parking facility in which each available parking space is located, or an entrance to a point of interest; determining an adjusted utility score for each of the available parking spaces based on the initial utility score and the safety score associated with each of the available parking spaces; and selecting a parking space among the plurality of available parking spaces based on the adjusted utility score for the parking space.

Abstract: System, methods, and embodiments described herein relate to creating and utilizing one or more vehicular micro clouds to assist in responding to a traffic event. At least one disclosed method includes receiving report information indicating a detection of a traffic event and including a location of the traffic event, defining a region of interest based at least in part on the report information, forming a dependent vehicular micro cloud in the region of interest, determining guidance information based at least in part on the report information, and transmitting the guidance information to the dependent vehicular micro cloud. The dependent vehicular micro cloud executes at least one responsive action based on the guidance information.

Abstract: A sensor control system for a vehicle includes one or more processors and a memory communicably coupled to the one or more processors. The memory stores a zone of interest determination module including computer-readable instructions that when executed by the one or more processors cause the one or more processors to determine if at least one localized zone of interest resides within a preliminary zone of interest of the vehicle. The memory also stores a sensor control module including computer-readable instructions that when executed by the one or more processors cause the one or more processors to control one or more operational parameters of at least one sensor so as to, if at least one localized zone of interest resides within the preliminary zone of interest, bring at least a portion of the at least one localized zone of interest into a of field view of the at least one sensor.

Abstract: An example method determines a plurality of traffic sections for a geographical traffic area, each traffic section including a road segment and vehicle(s) traveling on the road segment; monitors a responsive vehicle rate for a first traffic section of the plurality of traffic sections; and assigns, based on the responsive vehicle rate of the first traffic section, the first traffic section to one of a first section server dedicated to manage the first traffic section and a remote management server capable of managing the plurality of traffic sections of the geographical traffic area, the first section server comprising computing device(s) of responsive vehicle(s) in the first traffic section.

Abstract: A system for installing a structure is provided. The system includes a plurality of moveable objects, and a server including a controller including one or more processors, and machine readable instructions stored in one or more memory modules that, when executed by the one or more processors, cause the controller to: communicate with the plurality of moveable objects; receive a request for installing the structure at a location; select a group of moveable objects among the plurality of moveable objects based on locations of the plurality of moveable objects; instruct the group of moveable objects to move to the location; and instruct one or more of the group of moveable objects to morph at the location based on information about the structure.

Abstract: Systems and methods described herein relate to identifying available parking spaces using connected vehicles. One embodiment performs one of (1) receiving, from a connected vehicle, vehicle position data and vehicle detection and tracking data including at least one bounding box transition event in which a bounding box associated with a particular detected parked vehicle crosses an image-frame boundary; and (2) receiving, from the connected vehicle, the vehicle position data and sensor data, performing object detection and tracking on the sensor data to generate the vehicle detection and tracking data, and detecting the at least one bounding box transition event; generates updated parking-space availability data by performing map matching to associate the vehicle position data and the at least one bounding box transition event with parking spaces in a parking map; and transmits the updated parking-space availability data to one or more participating connected vehicles.

Abstract: A method of operating a traffic management system comprises receiving data from a vehicle indicating a traffic state, estimating a future time at which the vehicle will receive driving instructions transmitted by the traffic management system, predicting a future traffic state at the estimated future time, determining the driving instructions for the vehicle based on the predicted future traffic state, and transmitting the driving instructions to the vehicle.

Abstract: A method for tracking a non-connected vehicle is provided. The method includes obtaining one or more features of the non-connected vehicle, assigning an ID to the non-connected vehicle, the ID including information about the one or more features of the non-connected vehicle, predicting one or more locations of the non-connected vehicle in response to the non-connected vehicle being out of a field of view of a connected vehicle at a first location, identifying a vehicle at a second location, the second location corresponding to one of the predicted one or more locations, and determining whether the identified vehicle at the second location corresponds to the non-connected vehicle based on a comparison of one or more features of the identified vehicle and the ID.

Abstract: The disclosure includes embodiments for managing an anomaly and anomaly-affected entities. In some embodiments, a method includes receiving anomaly data describing an occurrence of the anomaly in a roadway environment. The method includes determining an influence region of the anomaly in the roadway environment. The method includes determining a set of anomaly severity indices associated with a set of sub-regions within the influence region. The method includes managing a group of anomaly-affected entities within the influence region based on the set of anomaly severity indices.

Abstract: Systems and methods for managing driver habits are disclosed herein. One embodiment learns undesirable driving habits of a driver over time as the driver operates a vehicle; identifies, for each learned undesirable driving habit, one or more situational triggers associated with that undesirable driving habit; receives information from one or more of vehicle sensors and one or more external sources; predicts that the driver will engage in a particular undesirable driving habit; and carries out one or more of the following avoidance strategies to assist the driver in refraining from engaging in the particular undesirable driving habit: communicating one or more speed advisories to the driver; suggesting an alternate route to the driver; and presenting the driver with one or more of a coupon, an offer, and a discount at a place of business to encourage the driver to take a break by stopping at the place of business.

Abstract: In an example, a method determines a first controllable vehicle traveling along a mitigation road segment of a roadway and determines a control lane in the mitigation road segment. The control lane includes the first controllable vehicle and is impedible by the first controllable vehicle. The method determines a first open lane in the mitigation road segment and applies a target mitigation speed to the first controllable vehicle in the control lane. The first open lane is adjacent to the control lane in the mitigation road segment and the target mitigation speed is based on a traffic state of the first open lane. The target mitigation speed adjusts a traffic stream that flows through the first open lane to mitigate traffic congestion located downstream of the mitigation road segment.

Abstract: A method comprises determining a plurality of available parking spaces within a threshold distance of a destination; determining an initial utility score for each of the available parking spaces based on a distance between each of the available parking spaces and the destination; determining a safety score associated with each of the available parking spaces based on crime data and a distance between each of the parking spaces and a major street, an entrance to a parking facility in which each available parking space is located, or an entrance to a point of interest; determining an adjusted utility score for each of the available parking spaces based on the initial utility score and the safety score associated with each of the available parking spaces; and selecting a parking space among the plurality of available parking spaces based on the adjusted utility score for the parking space.

Abstract: A method for performing correlation-based parking availability estimation is provided. The method includes retrieving a plurality of parking availability correlation models, wherein each of the parking availability correlation models estimates parking availability for a target parking block based on parking availability for one or more other parking blocks; selecting a subset of the parking availability correlation models, wherein the subset comprises parking availability correlation models that estimate parking availability of the target parking block based on parking availability for one or more other parking blocks for which current parking availability is known; selecting a parking availability correlation model from the subset based on a model quality indicator associated with each parking availability correlation model; and estimating parking availability for the target parking block based on the selected parking availability correlation model.