Abstract: An apparatus for detecting an inclination angle includes a processor configured to input an image generated by a camera into a first classifier that has been trained to detect a two-wheeler, thereby detecting an object region including the two-wheeler in the image; rotate the object region by predetermined different angles to define characteristic regions as respective rotated regions; cut out the characteristic regions from the image; and detect a width of the two-wheeler in each of the characteristic regions and detects a rotation angle relative to the image as the inclination angle of the two-wheeler to the normal of the ground, based on rotation angles of the respective characteristic regions relative to the image and widths of the two-wheeler in the respective characteristic regions, the rotation angle minimizing the width of the two-wheeler.

Abstract: Examples described herein provide a computer-implemented method that includes defining, by a processing device, a plurality of parameters so that any orthogonal intersection can be described. The method further includes building, by the processing device, an orthogonal parameterized model that can represent any orthogonal intersection based at least in part on the plurality of parameters that can describe any intersection of interest. The method further includes expanding, by the processing device, the orthogonal parameterized model to generate a fully parameterized intersection model that accounts for intersection complexities. The method further includes building, by the processing device, a low-fidelity analytical that computes various metrics based on the fully parameterized intersection model.

Abstract: Systems and methods for performing actions in response to charging events, such as charging events associated with a specific electric vehicle and/or a specific charging station, are described. In some embodiments, the systems and methods may receive a request from an electric vehicle to identify a charging station from which to charge a battery of the electric vehicle, provide information associated with the electric vehicle to one or more charging stations proximate to the electric vehicle, receive from the one or more charging stations information identifying parameters associated with potential charging events provided by the one or more charging stations, and provide the information identifying the parameters associated with potential charging events provided by the one or more charging stations to the electric vehicle.

Abstract: An information processing system, including: a surveillance camera that detects a plurality of obstacles in the vicinity of a specific vehicle; a first determiner that determines whether an unidentified obstacle, which is included in the plurality of obstacles and is not visible from the specific vehicle, is present based on first information regarding the plurality of obstacles detected by the surveillance camera and vehicle information indicating the specific vehicle; and a first communicator that outputs information indicating the unidentified obstacle to the specific vehicle when the first determiner determines that the unidentified obstacle is present.

Abstract: Aspects of the disclosure relate to distributing vehicles to perform scouting. This may involve receiving a request for a scouting objective for a vehicle, and in response, identifying a set of scouting objectives that the vehicle is eligible to visit. Each scouting objective of the set is associated with one or more scouting quests, and each scouting quest is associated with a plurality of scouting objectives. For each given scouting objective in the set of scouting objectives, an overall weight may be determined using combined weights for the given scouting objective and any scouting quests with which the given scouting objective is associated. One or more scouting objectives of the set of scouting objectives may be selected using the determined overall weights. The one or more selected scouting objectives may be provided to the vehicle.

Abstract: Apparatus and methods related to routing robots are provided. A roadmap of an environment that includes first and second robots can be received. The roadmap can be annotated with unidirectional lanes connecting conflict regions, where each lane ends so to avoid blocking a conflict region. First and second routes for the respective uses of the first and second robots can be determined, where both the first and second routes include a first lane connected to a first conflict region. A first, higher priority and a second, lower priority can be assigned to the respective first and second robots. It can be determined that the second robot following the second route will block the first robot on the first lane. Based on the first priority being higher than the second priority, the computing device can alter the second route to prevent the second robot from blocking the first robot.

Abstract: One embodiment sets forth a technique for generating a tree structure within a computer memory for storing sparse data. The technique includes dividing a matrix into a first plurality of equally sized regions. The technique also includes dividing at least one region in the first plurality of regions into a second plurality of regions, where the second plurality of regions includes a first region and one or more second regions that have a substantially equal number of nonzero matrix values and are formed within the first region. The technique further includes creating the tree structure within the computer memory by generating a first plurality of nodes representing the first plurality of regions, generating a second plurality of nodes representing the second plurality of regions, and grouping, under a first node representing the first region, one or more second nodes representing the one or more second regions.

Abstract: An automated method of controlling a speed of a vehicle includes identifying parameters of a driving instance of the vehicle; identifying a predetermined profile that is applicable to the driving instance based on the identified parameters; identifying a predetermined speed policy applicable to the driving instance based on the identified profile; and implementing the identified speed policy during the driving instance. The method may be repeated during the driving instance, whereby the speed policy that is implemented is automatically updated when one or more changes in the identified parameters cause a different predetermined speed policy to be identified. Parameter may include driver parameters (e.g., driver age and driver experience); vehicle parameters (e.g., vehicle age, mileage, and tire wear) tire maintenance information); behavior parameters (e.g., speed, acceleration, hard braking of the vehicle, following distance, swerving, and cornering); and circumstance parameters (e.g.

Abstract: A method of generating map data indicating a deviation from expected jam conditions on a segment of a plurality of segments in an area covered by an electronic map, the segment having associated therewith a jam probability indicating the likelihood of a jam on that segment. The method comprises establishing an expected jam condition for the segment based on the jam probability of that segment, and then obtaining live data indicating the jam conditions on at least one of the plurality of other segments in the area. A revised jam condition can then be established for the segment using the obtained live data.

Abstract: An anti-freezing composition according to an embodiment of the present disclosure includes at least one of a compound represented by Formula 1 and a compound represented by Formula 2. An anti-freezing composition according to another embodiment of the present disclosure includes a peptide consisting of amino acids having different chirality, thereby having an excellent effect of inhibiting ice formation or ice recrystallization.

Abstract: An information display apparatus may include a processor configured to display a display object in augmented reality; and a storage configured to store data and algorithms driven by the processor, wherein the processor determines a position of the display object by use of at least one of a total number of lanes or a number of lanes in a road in a driving direction of a host vehicle, possible traveling direction information for each lane, and driving direction information related to the host vehicle, and the information display apparatus is disposed within a vehicle or outside the vehicle, and when disposed outside the vehicle, is configured to transmit display information related to the display object to the vehicle or a mobile device.

Abstract: Disclosed are systems and methods relating to providing intersection metrics based on road network data and telematic data.

Abstract: The present disclosure relates to an overtaking estimating system for estimation of a minimum overtaking speed of a vehicle. The overtaking estimating system determines in view of a host vehicle a remaining distance of an overtaking lane contiguous to a driving lane of the host vehicle. The system further determines a delta distance between the host vehicle and a preceding vehicle positioned in the host vehicle driving lane. Moreover, the system determines a delta time for the host vehicle to reach the preceding vehicle. The system further determines, based on the delta distance, the delta time and a determined host vehicle speed, a speed of the preceding vehicle. Furthermore, the system determines, based on the remaining distance, the delta distance, the preceding vehicle speed, and an overtaking-affecting parameter, a minimum overtaking speed of the host vehicle for overtaking the preceding vehicle in the remaining distance of the overtaking lane.

Abstract: A method, a system, and a computer program product may be provided for providing traffic data to a client device. The system may receive from the client device, a request for traffic data corresponding to road segments of at least one map area, said request identifying the at least one map area and determine road segment identifiers corresponding to each of the road segments of the at least one map area and determine traffic data for at least a portion of the road segment identifiers, said traffic data obtained from a traffic data source. The system may further determine a plurality of traffic ranges based on the obtained traffic data and generate a subtree data structure set, each subtree data structure of the subtree data structure set corresponding to a traffic range of the plurality of traffic ranges, wherein each subtree data structure encodes road segment identifiers corresponding to the respective traffic range.

Abstract: A method in a communication device equipped with an electronic circuit includes obtaining a geographic location of a vehicle in which the communication device operates; monitoring at least one sensor signal that corresponds to road quality; determining a road quality indication of the geographic location based on the at least one sensor signal; transmitting the geographic location and the road quality indication to a server; and determining, using an information received from the server, whether the road quality indication differs from an average road quality indicia for the geographic location.

Abstract: In an environment in which a plurality of second pedestrians moves along predetermined movement patterns, a plurality of movement routes when a first pedestrian moves toward a destination point is recognized. Data, in which an environmental image indicating a visual environment in front of a virtual robot when the virtual robot moves along each of the movement routes and a moving direction command indicating a moving direction of the virtual robot are combined, is generated as learning data. In the environmental image, colors corresponding to kinds of the moving objects are applied to at least a portion of moving object image regions indicating pedestrians (moving objects) present around a robot. Model parameters of a CNN (action model) is learned using the learning data, and a moving velocity command for the robot is determined using a learned CNN.

Abstract: Embodiments described herein relate to anonymizing of trajectories of mobile devices through the introduction of gaps between sub-trajectories. Methods may include: receiving a set of probe data points defining a trajectory; identifying a temporal length range of sub-trajectories; receiving a mode, where the mode is established based on a preceding set of probe data points defining a trajectory, where the mode includes an indication of whether to generate a sub-trajectory or a gap from the beginning of the received set of probe data points; and establishing at least one sub-trajectory including a sub-set of the set of probe data points, where the at least one sub-trajectory is established to satisfy the temporal length range of sub-trajectories.

Abstract: A system includes a housing with one or more edge processors to handle processing on behalf of a mobile target or to provide local data to the mobile target or to provide artificial intelligence for the mobile target; one or more antennas coupled to the housing; and a processor to control a directionality of the antennas in communication with the mobile target using 5G or 6G protocols.

Abstract: A method, apparatus and computer program product are provided to identify a lane level traffic surprise. In the context of a method, historical lane level traffic information is received including a representation of a speed of travel along a respective lane of a link. The method also receives recent lane level traffic information including a representation of a speed of travel along the respective lane of the link. The recent lane level traffic information is indicative of more recent traffic conditions, than the traffic conditions represented by at least some of the historical lane level traffic information. The method further includes determining a representation of a difference between representations of the speed of travel provided by the historical lane level traffic information and the recent lane level traffic information, and identifying the lane level traffic surprise based upon representation of the difference.

Abstract: Vehicles and methods for utilizing a vehicle sensor network are provided. A subject vehicle may include a communication component configured to establish a connection with a connectable vehicle when a distance to the connectable vehicle falls below a threshold. The communication component may be further configured to receive a detection alert from the connectable vehicle detecting that an event is or will be occurring. The subject vehicle may further include an operational component configured to modify operation of the subject vehicle based on the detection alert.

Abstract: A method determines a quality characteristic, in which the quality characteristic is representative for the procurement of a vehicle-specific friction coefficient of a vehicle and a standardized friction coefficient of a friction coefficient map. The friction coefficient data are received, the friction coefficient data being representative for a friction coefficient measured depending upon the position of a vehicle and a quality characteristic representative for the vehicle. The friction coefficient map is provided, the friction coefficient being representative for standardized friction coefficients of a vehicle fleet of a route network. Depending upon the friction coefficient data and the friction coefficient map, the quality characteristic is determined again and transmitted to the vehicle.

Abstract: A future location of a movable object is predicted to intersect a planned path of a host vehicle. A host vehicle component is actuated to output a signal indicating to move the movable object. Then, at least one of the movable object is determined to have moved or the planned path of the host vehicle is updated. Then, the host vehicle is operated along the planned path or the updated planned path.

Abstract: A central system, or server, may store information for determining the schedules of drivers. For example, the information may include loads assigned to the drivers, training, lunch breaks, time off, and/or other commitments. The central system may centrally store the information to efficiently and conveniently determine and update schedules. The central system may allow drivers and/or carriers to manage driver onboarding, training, compliance, scheduling, work assignment, and reporting, as well as build monthly, weekly, and daily schedules. The central system may also automate matching drivers to loads, balances work distribution, reduce human errors, and assist in audits.

Abstract: A method is provided for the creation of parking lot geometry that can be used to provide guidance to a vehicle through the parking lot. Methods may include: generating a road network of a parking lot based on a plurality of probe data points; map matching the plurality of probe data points to road links of the parking lot; identifying parking lot accessor road links; identifying a building affinity link; identifying primary parking lot road links, where primary parking lot road links include at least one of a trajectory count, probe count, or average or median probe speed that is higher than a respective trajectory count, probe count, or average or median speed of non-primary parking lot road links; establishing a route from a parking lot accessor road link to the building affinity link; and providing for guidance of a vehicle along the route.

Abstract: A method for providing a digital localization map. The method includes: determining road sections by evaluating data of a road network to be mapped; classifying the road sections, taking defined conditions of the road network into account; classifying the road sections, taking driving-environment sensor data into account; combining the road sections to form clusters, taking the classifications into account; joint computational processing of each of the clusters; and transmitting the digital localization map created to a vehicle.

Abstract: A system for improving transportation infrastructure includes a network access device to receive vehicle behavior data from multiple vehicles, the vehicle behavior data corresponding to at least one of driver-controlled vehicle behavior or autonomous vehicle behavior and including at least one of vehicle locations associated with the vehicle behavior data or infrastructure data indicating features of infrastructure associated with the vehicle behavior data. The system further includes a memory to store the vehicle behavior data including the at least one of the vehicle locations or the infrastructure data. The system further includes a processor to perform an analysis of the vehicle behavior data and the at least one of the vehicle locations or the infrastructure data and to identify an improvement to the transportation infrastructure to at least one of reduce traffic, increase driver comfort, or increase safety based on the analysis.

Abstract: Systems and methods of managing the collection and delivery of goods using mobile computing devices included a management system hosted on a server receiving a request from a first user through an application on a computing device for a pick-up of an item from a first location. A second user capable of fulfilling the pick-up request is identified. Details of the pick-up request are transmitted to an application on a second user computing device, wherein a visual map of the first location is displayed on the user computing device. At least one time-stamped, geo-located photograph of the item is uploaded to the application of the second user computing device. Delivery of the item to a second location is validated through at least one code identifier, wherein the code identifier is transmitted from the management system to the first user computing device.

Abstract: According to one embodiment, a motion trajectory boundary is obtained based on a trajectory that has been planned to drive an ADV for a next time period. A safe driving area boundary is determined for the ADV based on perception data perceiving a driving environment surrounding the ADV. The motion trajectory boundary and the safe drivable area boundary are projected onto a map such as an HD map. A relative location of the ADV within the map relative to the motion trajectory and the safe drivable area boundary is determined. A fail-safe action or a fail operational action may be performed based on the relative location of the ADV in view of the motion trajectory boundary and the safe drivable area boundary.

Abstract: A method of road sign classification utilizing a knowledge graph, including detecting and selecting a representation of a sign across a plurality of frames, outputting a prompt initiating a request for a classification associated with the representation of the sign, classifying one or more images including the sign, querying the knowledge graph to obtain a plurality of road sign classes with at least one same attribute as the sign, and classifying the sign across the plurality of frames in response to a confidence level exceeding a threshold.

Abstract: A vehicle includes: an instrument panel that displays an alarm to a driver; and an ECU that controls the instrument panel based on a setting as to whether the driver is to perform maintenance of the vehicle or not. In a first setting in which the driver is to perform maintenance, the ECU controls the instrument panel to display an alarm when a failure occurs in an on-vehicle device. In a second setting in which the driver is not to perform maintenance, the ECU controls the instrument panel not to display an alarm about a failure less influencing traveling.

Abstract: Methods and systems for communicating between autonomous vehicles are described herein. Such communication may be performed for signaling, collision avoidance, path coordination, and/or autonomous control. A computing device may receive data for the same road segment from autonomous vehicles, including (i) an indication of a location within the road segment, and (ii) an indication of a condition of the road segment. The computing device may generate, from the data for the same road segment, an overall indication of the condition of the road segment, which may include a recommendation to vehicles approaching the road segment. Additionally, the computing device may receive a request from a computing device within a vehicle approaching the road segment to display vehicle data. The overall indication for the road segment may then be displayed on a user interface of the computing device.

Abstract: It makes it possible to track instrument information and to obtain an accurate history of the instrument information, even when a mounting position mounted with a railway vehicle instrument has been changed. Instrument information indicating an operation or a state of a railway vehicle instrument mounted to each mounting position included in a composition is collected. A serial number determined for each mounting position is updated. The instrument information is assigned with a temporary ID including position information specifying the each mounting position and a serial number. A combination of a new temporary ID and an old temporary ID included in the temporary ID group and assigned to new instrument information and old instrument information indicating an operation or a state of a same railway vehicle instrument is estimated.

Abstract: According to various embodiments, a method for operating a vehicle may include determining a vehicular area having traffic conditions or characteristics different from traffic conditions of a current or previous location of the vehicle; obtaining traffic and driving information for the determined vehicular region; changing or updating one or more of driving model parameters of a safety driving model during operation of the vehicle based on the obtained traffic and driving information; and controlling the vehicle to operate in accordance with the safety driving model using the one or more changed or updated driving model parameters. A vehicle may seamlessly update operational rules and/or handover of traffic and driving information for transitioning from one region to another.

Abstract: An apparatus and a method for providing traffic information are provided. The apparatus includes a traffic data database (DB) that stores traffic data and a processor connected to the traffic data DB. The processor generates a prediction model to predict a traffic flow and determines an appropriate data input range for a target time point in the future using the prediction model. Additionally, the processor extracts past traffic data from the traffic data DB based on the determined appropriate data input range, predicts a traffic flow at the target time point based on the extracted past traffic data and provides the predicted traffic flow as traffic information.

Abstract: The disclosure relates to a method for determining position information of a motor vehicle, which has an inductive charging device with at least one charging coil, which is in particular situated in the region of the bottom of the vehicle, and a measurement means which is assigned to the charging coil to measure a magnetic field, the method having the following steps: magnetizing, by supplying current to the charging coil, at least one magnetic structure which is situated in or on a surface on which the motor vehicle drives, wherein the structure and further structures are stored together with a position indication for the respective structure in a digital map; measuring, using the measurement means, measurement data which describe the magnetic behavior of the structure; identifying the structure by evaluating the measurement data; and determining the position information depending on position indication assigned to the identified structure.

Abstract: An apparatus including a capture device and a processor. The capture device may be configured to generate pixel data corresponding to an exterior view from a vehicle. The processor may be configured to generate video frames from the pixel data, perform computer vision operations on the video frames to detect objects in the video frames and determine characteristics of the objects, detect a change in orientation of the vehicle at a first time, analyze the characteristics of the objects at a second time to determine a cause of the change in orientation of the vehicle and generate annotations for the video frames that comprise the objects determined to have caused the change in orientation of the vehicle. The second time may be earlier than the first time.

Abstract: Example aspects of the present disclosure describe a scene generator for simulating scenes in an environment. For example, snapshots of simulated traffic scenes can be generated by sampling a joint probability distribution trained on real-world traffic scenes. In some implementations, samples of the joint probability distribution can be obtained by sampling a plurality of factorized probability distributions for a plurality of objects for sequential insertion into the scene.

Abstract: Systems and methods for monitoring the lane of an object in an environment of an autonomous vehicle are disclosed. The methods include receiving sensor data corresponding to the object, and assigning an instantaneous probability to each of a plurality of lanes based on the sensor data as a measure of likelihood that the object is in that lane at a current time. The methods also include generating a transition matrix for each of the plurality of lanes that encode one or more probabilities that the object transitioned to that lane from another lane in the environment or from that lane to another lane in the environment at the current time. The methods then include determining an assigned probability associated with each of the plurality of lanes based on the instantaneous probability and the transition matrix as a measure of likelihood of the object occupying that lane at the current time.

Abstract: A communications method includes determining, by a first platoon member, at least one second platoon member, where the first platoon member and the at least one second platoon member belong to a same platoon, and signal quality of a communication link from the first platoon member to each second platoon member is less than a first preset quality threshold, determining, by the first platoon member, a target communications node, where signal quality of a communication link from the target communications node to each second platoon member is greater than or equal to the first preset quality threshold, and sending, by the first platoon member, to-be-sent data to each second platoon member through the target communications node.

Abstract: A control apparatus is provided, including: an other-vehicle emotion acquiring unit configured to acquire an other-vehicle emotion indicating an emotion of an occupant of a second vehicle different from a first vehicle; a determination unit configured to determine whether to perform notification to an occupant of the first vehicle based on the other-vehicle emotion; and a notification control unit configured to perform control to notify the occupant of the first vehicle of notification information based on the other-vehicle emotion when the determination unit determines to perform the notification.

Abstract: Embodiments of systems and methods for automated real-time routing within a fleet of geographically distributed drivers are disclosed. Embodiments may operate to dispatch orders and determine routing in real-time in a geographic area through application of rule-based filtering of drivers and selective application of optimal or non-optimal routing solutions utilizing the real-time locations of drivers, real-time conditions within the geographic area and the locations for the set of orders being routed by the system.

Abstract: Systems and methods for basis path generation are provided. In particular, a computing system can obtain a target nominal path. The computing system can determine a current pose for an autonomous vehicle. The computing system can determine, based at least in part on the current pose of the autonomous vehicle and the target nominal path, a lane change region. The computing system can determine one or more merge points on the target nominal path. The computing system can, for each respective merge point in the one or more merge points, generate a candidate basis path from the current pose of the autonomous vehicle to the respective merge point. The computing system can generate a suitability classification for each candidate basis path. The computing system can select one or more candidate basis paths based on the suitability classification for each respective candidate basis path in the plurality of candidate basis paths.

Abstract: A system and method for reliably and efficiently monitoring and arbitrating the performance of one or more UTM infrastructure systems are provided herein.

Abstract: A control system and a method for predicting a location of dynamic objects, for example, of pedestrians, which are able to be detected by the sensors of a vehicle. The control system includes a multitude of sensors and a processing system, which is configured to combine with a first program the objects that are detected by the multitude of sensors to form an object list, each entry of the object list encompassing the location, a speed and an open route for each of the objects, and the object list including a time stamp; and to determine with a second program for at least a portion of the dynamic objects an additional object list from a predefined number of object lists, the additional object list including a time stamp for a future point in time and encompassing at least the location of the dynamic objects.

Abstract: A system and method for transforming location-based data queries into temporal domain by leveraging a location-to-time knowledge conversion graph. In some systems which contain diverse sets of data objects, only certain objects may contain explicit location data, while others may not. Therefore, queriability of this diverse data by location properties would likely yield incomplete results. In some embodiments, this method allows for the transformation and augmentation of a given data query containing location-based filtering properties into a time-region-based lookup, wherein a given location has been assigned to a time region in the given data graph and all data events within that time region may be augmented with location metadata automatically in the knowledge graph. Over time, a system utilizing these embodiments can offer comprehensive location-based data services and insights to a given system or user wherein a diverse set of data objects exists and not all objects contain explicit location information.

Abstract: System for automatically classifying vehicle vocation and benchmarking vehicle performance relative to other vehicles having the same vocation classification, independent of vehicle fleet groupings, industry vehicle application groupings and vehicle type groupings, is disclosed. The system includes a vehicle vocation classifier in communication with a data management system to store historical vehicle data including recurring vehicle usage data, and assign one or more predicted vocations for each vehicle based on the recurring vehicle usage data using a machine learning technique. The system also includes a benchmarking management system for grouping the historical vehicle data for vehicles of same determined predicted vocation, determining therefrom benchmarking vehicles having better performance characteristics than other vehicles of the same determined predicted vocation, and benchmarking performance of the other predicted vocation vehicles relative to the benchmarking vehicles.

Abstract: A method for policy-based traffic encounter assessment to detect and avoid traffic includes determining, by a processor, an ownship predicted trajectory of an aircraft. The aircraft is the ownship. The method also includes determining a traffic predicted trajectory of one or more other aircraft in the vicinity of the ownship. The one or more other aircraft includes traffic. The method also includes assessing an encounter between the ownship and the traffic, wherein assessing the encounter between the ownship and the traffic includes applying an encounter assessment policy to the traffic predicted trajectory and the ownship predicted trajectory. The method further includes generating encounter assessment data in response to assessing the encounter between the ownship and the traffic. The encounter assessment data is used to at least detect and avoid the traffic by the ownship.

Abstract: A system comprising, a plurality of unmanned aerial vehicles and a single controller for controlling said plurality of unmanned aerial vehicles, wherein the single controller is configured such that it can broadcast a command to all of the plurality of unmanned aerial vehicles so that each of the plurality of unmanned aerial vehicles receive the same command; and wherein each of the unmanned aerial vehicles comprise a memory which stores a plurality of predefined flight paths each of which is assigned to a respective command; and wherein each of the unmanned aerial vehicles comprise a processor which can, (i) receive a command which has been broadcasted by the single controller to said plurality of unmanned aerial vehicles, (ii) retrieve from the memory of that aerial vehicle the flight path which is assigned in the memory to that command, and (iii) operate the aerial vehicle to follow the retrieved flight path.

Abstract: A system, a method, and a computer program product may be provided for generating traffic congestion estimation data of one or more lanes in a region. A system may include a memory configured to store computer program code and a processor configured to execute the computer program code to obtain image data associated with the region. The processor may be configured to determine a count of one or more first movable objects in one or lanes, based on image data, calculate a lane object static capacity of the one or more lanes, based on one or more map free flow or speed limit attributes associated with the one or more lanes and generate the traffic congestion estimation data based on count of first movable objects in the one or more lanes, the moving speed of movable objects crossing multiple image frames, the lane object static capacity of lanes.

Abstract: Embodiments disclosed herein provide techniques for dynamic response management. Weather data for a geographic region is received, and a state of the geographic region is determined based on the weather data. A first predefined rule of a plurality of predefined rules is identified based on the determined state of the geographic region. A first role of a first user is determined. A first instruction is then generated for the first user based on the first predefined rule and the first role, where the first instruction comprises one or more actions. The first instruction is then transmitted to the first user.