Abstract: An apparatus for determining an optimal route of a maritime ship includes a database configured to store at least one optimization constraint parameter, wherein the at least one optimization constraint parameter includes a constant shaft power of the propel shaft of the maritime ship; and a processor configured to execute a multi-objective route optimization based on the departure location, the destination location, and the at least one optimization constraint parameter to obtain the optimal route of the maritime ship.

Abstract: An information transmission apparatus includes an information acquisition unit, a route determination unit, and an information for a passenger transmission unit. The information acquisition unit acquires boarding stop information indicating a boarding stop for a passenger, and getting-off stop information indicating a getting-off stop for the passenger. The route determination unit determines, by using a route information storage unit, and the boarding stop information and the getting-off stop information, route information indicating a route of a vehicle that the passenger should board. The information for a passenger transmission unit transmits information for a passenger to a terminal of the passenger at a timing determined by using a current position of a vehicle traveling on a route indicated by the route information, and the boarding stop information. The information for a passenger includes boarding vehicle information, for example, an appearance image and a vehicle number of the vehicle.

Abstract: Provided is a robotic device, including: a chassis; a set of wheels; a control system; a battery; one or more sensors; a processor; a tangible, non-transitory, machine readable medium storing instructions that when executed by the processor effectuates operations including: capturing, with the one or more sensors, data of an environment of the robotic device and data indicative of movement of the robotic device; generating or updating, with the processor, a map of the environment based on at least a portion of the captured data; and generating or updating, with the processor, a movement path of the robotic device.

Abstract: Methods and systems for detecting when users deviate from a provided transportation route and for correcting the transportation route in response to such user deviations is presented. In one embodiment, a method is provided including detecting a changed condition for a transportation route between a first location and a second location. The transportation route may include multiple transportation segments. A first transportation segment designating a first modality may be identified, wherein the changed condition decreases a likelihood that vehicles associated with the first modality will be available to service the first transportation segment. In response, a second transportation segment designating a second modality different from the first modality is generated. The first transportation segment is then replaced with the second transportation segment in the transportation route.

Abstract: A method for determining a position of a vehicle. The method has a step of carrying out self-locating of the vehicle using a locating device of the vehicle in order to generate a provisional position of the vehicle. The method also has a step of reading in a position signal, the position signal representing a position of another vehicle. Moreover, the method has a step of ascertaining a relative position of the vehicle relative to the other vehicle with the aid of the position signal in order to determine the position of the vehicle using the self-locating and the relative position.

Abstract: The present disclosure provides a method including determining a dispatch state of a vehicle traversing a current route based on data available from a fleet management system associated with the vehicle; selecting a driving dynamics mode for the vehicle based on the determined dispatch state, wherein the driving dynamics mode determines at least one of a route the vehicle is directed to traverse and a driving behavior of the vehicle; and operating the vehicle in the selected driving dynamics mode.

Abstract: An autonomous driving control system of a vehicle includes a processor, a navigation, and a driving controller communicatively connected to one another. The processor is configured to estimate a charging amount of a power source that drives a driving device of a vehicle. The navigation is configured to set a driving route based on a destination and to search for a charging station for the power source based on the set driving route. The processor is further configured to determine a charging strategy of the power source based on the estimated charging amount of the power source, the driving route set by the navigation, and the searched charging station. The driving controller is configured to control driving of the vehicle based on the driving route set by the navigation and the determined charging strategy.

Abstract: A system and method for aerial traffic management of unmanned aerial vehicles (UAVs) are provided. The method includes receiving at least a navigation request from a first UAV of a plurality of UAVs, wherein the navigation request specifies at least a waypoint; determining whether the waypoint is clear; sending an instruction the first UAV to hover at a specified position until the waypoint is clear, when the received waypoint is not clear; locking the waypoint, when the received waypoint not clear; and instructing the first UAV to navigate to the received waypoint.

Abstract: A lidar-based unmanned vehicle testing method, the method comprising: acquiring vehicle movement information and point cloud data collected by lidar, the vehicle movement information comprising movement of the vehicle during the vehicle driving process; if the movement of the vehicle is a preset movement then, on the basis of the point cloud data and a map, acquiring road information of the test road on which the vehicle is located; on the basis of the preset movement and the road information, acquiring a performance index of the vehicle; and, on the basis of the vehicle movement information and the performance index, determining a vehicle performance test result.

Abstract: Disclosed are methods, systems, and computer-readable medium to perform operations including: registering one or more aerial vehicles and one or more land-based vehicles with a last mile delivery system, where the one or more aerial vehicles and the one or more land-based vehicles are associated with aerial vehicle information and land-based vehicle information, respectively; determining to generate a land-based vehicle transportation request for a first aerial vehicle that is performing a delivery; matching, based on the land-based vehicle transportation request and the land-based vehicle information, the first aerial vehicle with a first land-based vehicle; and generating and sending transportation instructions to the first aerial vehicle and the first land-based vehicle, where the transportation instructions include: (i) a starting location where the first aerial vehicle docks to the first land-based vehicle, and (ii) a destination to which the first land-based vehicle transports the first aerial vehicle.

Abstract: In some implementations, a device may identify objects associated with the route based on one or more images associated with a selected route. The device may generate a model associated with the route including the scenery, wherein the scenery includes models of the objects based on geographic locations of the objects and three-dimensional spatial information of the objects. The device may determine a visual reference point for the virtual reality driving session based on at least one of vehicle information associated with the vehicle or user information. The device may provide, to a virtual reality device, presentation information that causes the virtual reality driving session to be displayed by the virtual reality device from a perspective of the visual reference point within a vehicle model associated with a selected vehicle placed in the model of the route with the scenery.

Abstract: The driver assistance system comprises a detector, a navigator, a stimulator, and a voice interactor. The detector detects wakefulness reduction of a driver or absent-minded driving by the driver. The navigator navigates a vehicle based on map information. The stimulator continuously or intermittently applies stimulation to the driver. The voice interactor interacts with the driver by voice. The navigator searches for a resting facility on a route from the map information in response to a detection of the wakefulness reduction or the absent-minded driving. The voice interactor executes a first interaction of proposing navigation to the resting facility by the navigator in response to the detection of the wakefulness reduction or the absent-minded driving, and executes a second interaction of proposing application of stimulation by the stimulator after an execution of the first interaction and during a period until the vehicle arrives at the resting facility.

Abstract: Technologies and implementations for machine coordination and management of pickup of a minor with a guardian. The machine coordination and management may be facilitated by a child pickup module (CPM).

Abstract: A method for determining one or more transportation parameters indicative of one or more modes of transportation of a plurality of modes of transportation is provided. Each mode of transportation of the plurality of modes of transportation is indicative of transportation of one or more users in a transportation environment. The method includes receiving a transportation request from a user device; determining the one or more transportation parameters based on the transportation request, one or more transportation mode parameters for each mode of transportation of the plurality of modes of transportation, the one or more transportation mode parameters being indicative of a respective mode of transportation, and one or more environmental parameters indicative of the transportation environment in which the one or more modes of transportation are destined to be used; and providing the one or more transportation parameters to the user device.

Abstract: Methods, computer-readable media, systems, and apparatuses for determining a safest road segment for traveling between two locations are provided. In some cases, a road segment safety rating may be determined for a plurality of road segments between the two locations based on historical data associated with the road segments and/or based on driving behavior data of an operator of the vehicle. An indication of the road segment determined as being the safest may be provided to the operator of the vehicle. An actual route of travel of the vehicle may be compared to the safest route. If the actual route of travel is different from the determined safest route, the operator may be notified that an award may be earned when the determined safest route is traveled. If the actual route of travel is determined to be safer than the determined safest route, an award may be earned.

Abstract: Aspects of the disclosure provide a method that can include obtaining a to-be-traveled target route, and determining for a first road section and a second road section adjacent to each other in any two positions starting from the first one of the plurality of road sections, a travel time of the first road section according to first state data of the first road section based on a travel time selection model and a state data prediction model, and determining second state data of the second road section after the first road section is traveled through according to the travel time under the first state data. The method can further include continuing to determine a travel time of the second road section according to the second state data based on the travel time selection model and the state data prediction model, until a travel time of each road section is determined.

Abstract: A tire pressure sensor device (122) for a wheel (112) of an aircraft (102) including a pressure sensor (124) for measuring the internal pressure of a tire, a temperature sensor (126) for measuring a temperature local to the tire (116), a memory unit (131) local to the tire for storing data, and a control unit (128) local to the tire arranged to record in the memory unit (131) data of the readings taken at intervals of time. The data recorded for each reading includes an indication of the time of the reading, the tire pressure and the temperature local to the tire. Measurements may be taken and recorded over time, both when the aircraft is on the ground and when the aircraft is in flight. Data may be uploaded to a portable handheld device (140) for analysis when maintaining the tires in their correctly inflated state.

Abstract: Systems and methods are provided for estimating charge time for an electric vehicle. A current vehicle range of the electric vehicle may be determined, and a range selection of the electric vehicle may be determined. Based on the current vehicle range and a charging range associated with the range selection, an intermediate charging range between the current vehicle range and the charging range associated with the range selection is determined. An estimated charge time to charge the electric vehicle to the intermediate charging range may be determined, and an indication of the intermediate charging range and the estimated charge time to reach the intermediate charging range may be generated for presentation.

Abstract: Systems and methods for electric vehicle (EV) charging and graphic user interface for consumers, including consumer profiles and EV point of sale terminal profiles. Novel methods for consumer guidance and controls are provided coupled with graphic user interfaces for mobile applications, websites, and electric vehicle point of sale terminals.

Abstract: System, method, and media for providing navigation of an affective vehicle environment to an occupant (such as a driver) of a vehicle. Sensors in and on the vehicles in the affective environment may detect characteristics of the occupants of the vehicle and stress levels may be assigned to the occupants. The navigation may be based at least in part on the location and destination of the vehicles in the affective environment and the stress levels of the occupants of the vehicles.

Abstract: A method of navigating an autonomous driving vehicle (ADV) includes determining a target function for an open space model based on one or more obstacles and map information within a proximity of the ADV, then iteratively performing first and second quadratic programming (QP) optimizations on the target function. Then, generating a second trajectory based on results of the first and second QP optimizations to control the ADV autonomously using the second trajectory. The first QP optimization is based on fixing a first set of variables of the target function. The second QP optimization is based on maximizing a sum of the distances from the ADV to each of the obstacles over a plurality of points of the first trajectory, and minimizing a difference between a target end-state of the ADV and a determined final state of the ADV using the first trajectory.

Abstract: A method for controlling an autonomous vehicle is provided. While the vehicle is at a commanded destination the method may be responsive to an absence of an ingress/egress of a passenger for a predetermined period. The predetermined period may depend on whether the vehicle is in arrival mode or departure mode. The method may include commanding the vehicle to travel to a predetermined location selected to have measures of cellular-wireless signal strength that are greater than a predetermined threshold.

Abstract: An example operation may include one or more of identifying, via a transport, at least one person in proximity to the transport, determining the at least one person matches one or more profile attributes of a profile of at least one transport occupant, sending a notification to a communication device in the transport to prompt the at least one transport occupant about the identified at least one person and the matched one or more profile attributes, and responsive to receiving a communication request from the communication device, transmitting a communication invite to a mobile device of the at least one person.

Abstract: An example operation includes one or more of determining, by one or more sensors of a transport, that the transport is unsafe to operate, providing, by the one or more sensors, sensor data related to the unsafe operation to a server, receiving, from the server, transport operating parameters, and operating the transport within the transport operating parameters. The transport operating parameters limit transport functionality and are in proportion to the sensor data.

Abstract: Techniques are discussed for determining a data level for portions of data for processing. In some cases, a data level can correspond to a resolution level, a compression level, a bit rate, and the like. In the context of image data, the techniques can determine a region of first image data to be processed a high resolution and a region of second image data to be processed at a low resolution. The regions can be determined by a machine learned algorithm that is trained to output identifications of such regions. Training data may be determined by identifying differences in outputs based on the first and second image data. The image data associated with the determined regions and the determined resolutions can be processed to perform object detection, classification, segmentation, bounding box generation, and the like, thereby conserving processing, bandwidth, and/or memory resources in real time systems.

Abstract: The present disclosure relates to generating maneuvering trajectories using Machine Learning (ML) model. The ML model scores each candidate maneuvering trajectories based on a plurality of dynamic profile parameters. A candidate maneuvering trajectory from a plurality of candidate maneuvering trajectories, having a best trajectory score is selected as the final maneuvering trajectory and is provided to the vehicle for navigating according to the final maneuvering trajectory. The final maneuvering trajectory is the most ideal trajectory as it is generated using the ML model based on the plurality of dynamic profile parameters. Also, the vehicle navigation is most efficient when navigated according to the final maneuvering trajectory.

Abstract: In various embodiments, a monitoring application assesses delays associated with a circuit within a network. The monitoring application determines a measured trip time between a first device and a second device that is connected to the first device via the circuit. The measured trip time is associated with a first variance attributable to the first device. The monitoring application performs one or more digital signal processing operations based on the measured trip time to generate a predicted trip time. The predicted trip time is associated with a second variance attributable to the first device that is less than the first variance. Based on the predicted trip time, the monitoring application determines characteristic(s) of the delay associated with the circuit. Advantageously, reducing variations attributable to the first device when generating the first predicted trip time increases the accuracy with which the monitoring application can determine the characteristic(s) of the delay.

Abstract: Location data is obtained in which an arrival link from which a vehicle can enter a location serving as a destination and an arrival link direction are associated with the location, the arrival link direction indicating a direction in which the vehicle can enter upon entering the location from the arrival link. A cost related to the arrival link is corrected based on the obtained location data. A route to the destination is searched for, using the corrected cost related to the arrival link.

Abstract: The present disclosure relates to a pull up controlling system of a vehicle for controlling the vehicle in a planned stop-and-go situation. The pull up controlling system determines a position of the vehicle and identifies a stop-and-go destination within a predeterminable distance from the vehicle position. The stop-and-go destination includes an interaction interface. The pull up controlling system provides a user input request relating to whether to discard or acknowledge the stop-and-go destination. The pull up controlling system receives intention data indicative of confirmation to acknowledge the stop-and-go destination. The pull up controlling system further derives preference data indicative of an openable section of the vehicle. The pull up controlling system maneuvers the vehicle to pull up at the stop-and-go destination, with the openable section aligned with the interaction interface.

Abstract: Systems and methods are disclosed for monitoring or affecting movement of a vehicle using a traffic device. An event data source may have a processor and/or a transceiver. The event data source may transmit, via the transceiver and to a vehicle and infrastructure computing device, information indicative of an event affecting a portion of road. The vehicle and infrastructure computing device may comprise a vehicle and infrastructure control computer. The vehicle and infrastructure computing device may receive, from the event data source, the information indicative of the event affecting the portion of road. The computing device may determine one or more traffic devices associated with the portion of road and configured to control traffic for the portion of road.

Abstract: Techniques are described for interacting with a vehicle touchscreen. According to one or more embodiments, a system is provided comprising a processor that executes computer executable components stored in at least one memory, including a display control component that selects graphical touch controls to include in a graphical user interface (GUI) for rendering on the touchscreen based on activation of a haptic feedback mode for interfacing with the touchscreen, wherein the graphical touch controls correspond to controls for one or more applications or functions associated with the vehicle. The system further comprising a positioning component that determines a location of a finger on or over the touchscreen relative to the graphical touch controls as displayed on the touchscreen, and a haptic feedback component that causes a vibration unit of the vehicle to provide vibration feedback based on the location corresponding to a graphical touch control of the graphical touch controls.

Abstract: A method for anticipatory bidirectional packet steering involves receiving, by a first packet steering module of a network, a first encapsulated packet traveling in a forward traffic direction. The first encapsulated packet includes a first encapsulating data structure. The network includes two or more packet steering modules and two or more network nodes. Each of the packet steering modules includes a packet classifier module, a return path learning module, a flow policy table, and a replicated data structure (RDS). The return path learning module of the first packet steering module generates return traffic path information associated with the first encapsulated packet and based on the first encapsulating data structure. The first packet steering module updates the RDS using the return traffic path information and transmits the return traffic path information to one or more other packet steering modules.

Abstract: A system and method for predicting travel time of a vehicle on routes of unbounded length within arterial roads. It collects historical information from probe vehicles positions using GPS technology in a periodic fashion and the sequence of links traversed between successive position measurements. Further, it collects information of neighborhood structure for each link within the arterial roads network. Any of the existing conditional probability distribution functions could be used to capture the spatio-temporal dependencies between each link of the arterial network and its neighbors. It learns the parameters of this data driven probabilistic model from historical information of probe vehicle trajectories traversed within the arterial roads network using an associated expectation maximization method.

Abstract: An information processing apparatus is provided with a controller comprising at least one processor configured to perform: obtaining route information indicating an operation route of a vehicle utilized by unspecified users; and obtaining desired location information indicating desired locations at which the users desire to get on the vehicle or desired locations at which the users desire to get off the vehicle. Then, the controller of the information processing apparatus determines a stop location, at which the vehicle is stopped for the users to get on or off, based on a plurality of pieces of the desired location information and the route information, and presents stop location information indicating the stop location thus determined to the users.

Abstract: A tactical awareness system. The system includes a plurality of soldiers affiliated with a friendly force, where each soldier has a man-worn computer, a Global Positioning System (GPS) device for determining a location of the soldier, and a smart camera for capturing an image. The plurality of soldiers communicates wirelessly with each other via a network. The location of each soldier is distributed to all soldiers affiliated with the friendly force via the network. The smart camera captures an image when activated by one of the plurality of soldiers and a target image recognition module is used for determining if an enemy or friendly force is identified in a captured image by the smart camera. Furthermore, each smart camera includes a Camera Orientation Module (COM) for obtaining the orientation relative to a known three-dimensional coordinate system of the smart camera.

Abstract: A system for context-aware decision making of an autonomous agent includes a computing system having a context selector and a map. A method for context-aware decision making of an autonomous agent includes receiving a set of inputs, determining a context associated with an autonomous agent based on the set of inputs, and optionally any or all of: labeling a map; selecting a learning module (context-specific learning module) based on the context; defining an action space based on the learning module; selecting an action from the action space; planning a trajectory based on the action S260; and/or any other suitable processes.

Abstract: A mobility information provision system, for mobile bodies, includes terminal devices and communication apparatuses. The terminal devices are usable in respective mobile bodies. The communication apparatuses are provided in respective predetermined zones or sections in which the mobile bodies are to move. The communication apparatuses are each configured to communicate with the terminal device used in a mobile body moving in the predetermined zone or section of which the communication apparatus is in charge, out of the mobile bodies. The communication apparatuses are each configured to transmit information to the terminal device used in the mobile body moving in the predetermined zone or section of which the communication apparatus is in charge. The information to be transmitted includes information used to determine movement of corresponding one of the mobile bodies or information used to control the movement of the corresponding one of the mobile bodies.

Abstract: A system and method may generate a more realistic augmented reality (AR) overlay by generating a segmentation image and blending it with one or more other images. The system may generate a segmentation image based on an input image. The segmentation image may be blended with an AR path overlay image to generate an object-masked AR path overlay image. The object-masked AR path overlay image may be blended with the input image to generate an output image.

Abstract: An agent cooperation system includes a first agent configured to acquire information on a driving attribute of a first driver in a first vehicle; and a second agent configured to notify a second driver in a second vehicle about driving assistance information derived based on the information on the driving attribute of the first driver acquired by the first agent.

Abstract: A server within an on-demand computing services environment may receive a request to determine a route that involves a set of geographic locations. The server may identify pre-computed path information suitable for responding to the request. A route may be determined based on the identified information, and route information may be transmitted in response to the request.

Abstract: A computer system configured to use train telematics data to reduce risk of accidents via a mobile device traveling within a vehicle may be provided. The mobile device may be configured to (1) receive train telematics data associated with a train that includes GPS location, speed, route, heading, acceleration, and/or track data; (2) determine when, or a time period of when, the train will pass through, be passing through, or be within a predetermined distance of a railroad crossing based upon the train telematics data; (3) determine an alternate route for the vehicle to take to avoid waiting at the railroad crossing; and (4) cause display of the alternate route on a display of the mobile device or a vehicle navigation system to allow the train to pass and to avoid train-vehicle collisions. Insurance discounts may be generated based upon the risk mitigation or prevention functionality.

Abstract: An assistance control system performs assistance control for causing a moving object to move to a destination based on map information. The assistance control system includes an electronic control unit. The electronic control unit is configured to generate or update the map information based on input from a sensor mounted on the moving object, acquire a plurality of route candidates to the destination, evaluate certainty of the map information for each location or each section, and calculate a map information evaluation value, evaluate accuracy of the assistance control in the acquired route candidates based on the calculated map information evaluation value, and present a route candidate having the highest priority among the route candidates to an occupant of the moving object, or control the moving object along the route candidate having the highest priority.

Abstract: A method for determining, from a plurality of satellites, a position of a mobile object having a reception device configured to receive satellite signals, includes performing a measurement of a plurality of pseudo-distances between the reception device and the plurality of satellites using the satellite signals. The method further includes correcting a result of the measurement using a surroundings model of surroundings of the mobile object to produce at least one corrected pseudo-distance. The surroundings model is indicative of at least one reflection plane of satellite signals.

Abstract: Aspects of the disclosure relate to detecting spurious objects. For instance, a model may be trained using raining data including a plurality of LIDAR data points generated by a LIDAR sensor of a vehicle. Each given LIDAR data point includes location information and intensity information, and is associated with waveform data for that given LIDAR data point. At least one of the plurality of LIDAR data points is further associated with a label identifying spurious objects through which the vehicle is able to drive. The model and/or a plurality of heuristics may then be provided to a vehicle in order to allow the vehicle to determine LIDAR data points that correspond to spurious objects. These LIDAR data points may then be filtered from sensor data, and the filtered sensor data may be used to control the vehicle in an autonomous driving mode.

Abstract: A control device is provided which forms a communication area on a ground to control an aircraft having an antenna for providing a radio communication service to a user terminal in the communication area. The control device includes a control unit that makes a plurality of aircrafts fly in formation, and controls the plurality of aircrafts such that the communication area of each of the plurality of aircrafts moves while covering a part of a preset target area and the entire target area is covered by a plurality of the communication areas of the plurality of aircrafts.

Abstract: A steering assist system for an unmanned aerial vehicle (UAV) receives physical space data for a flight area, and creates a virtual world model to represent the flight area by mapping the physical space data with a physics engine. The steering assist system creates a virtual UAV model to represent the UAV in the virtual world model. The steering assist system determines capability parameters for the UAV, and receives flight data for the UAV. The steering assist system determines a predicted trajectory for the virtual UAV model within the virtual world model, based on the capability parameters and flight data for the UAV. The steering assist system determines a navigation suggestion for the UAV based on the predicted trajectory and capability parameters for the UAV, and displays the navigation suggestion.

Abstract: A vehicle includes a traction battery and a controller. The controller, responsive to a command to enter a highway, confirmation the traction battery can output power to accelerate the vehicle to enter the highway via an entrance at a same speed as traffic on the highway in a vicinity of the entrance, and an increase in temperature beyond a threshold of the traction battery predicted to occur on the highway due to expected commands to maintain the same speed on the highway with power from the traction battery, increases cooling of the traction battery prior to entering the highway.

Abstract: To statistically analyze information on the path of ra movement of a moving body. An information analysis device includes a communication unit that receives position information for a vehicle, a memory unit that stores map information pertaining to roads over which the vehicle can travel and position information concerning facilities, a visit frequency calculator that calculates the frequency at which the vehicle visits a facility on the basis of facility information concerning the facility, and a travel path specification unit that specifies the vehicle that has made a plurality of visits to the facility on the basis of the results of calculations made by the visit frequency calculator and specifies the travel path to the facility for the specified vehicle from the position information and the map information pertaining to the roads.

Abstract: The present invention provides a moving object controller and a moving object control method capable of selecting a movement plan based upon detection accuracy of external information. A moving object controller 100 includes a plan generation unit 110 that generates at least one movement plan based upon external information on an external world of a moving object 1 and internal information on an internal part of the moving object; an accuracy estimation unit 120 that estimates detection accuracy of the external information based upon the external information, the internal information, and predetermined past information, among the movement plans generated by the plan generation unit; and a plan selection unit 130 that selects a movement plan of an execution target from among the movement plans generated by the plan generation unit based upon the detection accuracy of the external information estimated by the accuracy estimation unit.

Abstract: In systems and methods for accident scene reconstruction, accident data associated with a vehicle accident involving a driver may be collected. The accident data may include vehicle telematics and/or other data, and/or the driver may be associated with an insurance policy. The accident data may be analyzed and, based upon the analysis of the accident data, a sequence of events occurring before, during, and/or after the vehicle accident may be determined. Based upon the determined sequence of events, a virtual reconstruction of the vehicle accident and/or a scene of the vehicle accident may be generated. The virtual reconstruction may include images of vehicles and/or road, weather, traffic, or construction conditions at the time of the accident. Based upon the virtual reconstruction, fault of the driver, or lack thereof, for the accident may be determined. The determined fault may be used to handle an insurance claim associated with the vehicle accident.