Abstract: A system comprises a smart device that includes a processor and a memory. The smart device processor is configured to executed instructions stored in memory and the smart device to: wirelessly detect both the presence of a non-commissioned field-deployed product and a unique identification (ID) associated with the non-commissioned field-deployed product; take a photograph of the non-commissioned field-deployed product; obtain location data of the non-commissioned field-deployed product; and wirelessly transmit the unique ID, photograph and location data to establish a commissioned status of the non-commissioned field-deployed product.

Abstract: A driving action classifying apparatus has a driving-action-symbol acquiring unit configured to acquire position information on a vehicle and driving action symbols, which are data obtained by converting driving actions of the vehicle into symbols; and a tendency symbolizing unit configured to collect the driving action symbols corresponding to a same or similar place acquired from a plurality of vehicles and generate driving tendency symbols, which are data obtained by converting into a symbol a frequency distribution of the driving action symbols.

Abstract: A method and system include identification of road segments with multi-modal traffic patterns. A server receives speed data for a link. The server calculates a quantity of speed clusters from the speed data. The server calculates speed profiles for the quantity of speed clusters. The server identifies one or more modes of transportation for the link based on the quantity of the speed clusters and the speed profiles for the quantity of speed clusters.

Abstract: Various aspects of the disclosure relate to a request-response mechanism for sharing sensor information. For example, sensor devices (e.g., in vehicles, fixed structures, or a combination thereof) may selectively share information acquired by the sensor devices. The disclosure relates in some aspects to avoiding redundant transmissions of sensor information. For example, a sensor device of a set of sensor devices may determine which sensor device should transmit information and/or the time(s) at which that sensor device should transmit the information.

Abstract: A system and method is provided for sharing mobile device location information. The method includes receiving signals by a mobile device and determining by the mobile device a first location of the mobile device at a first time based on the signals received by the mobile device. Time data is accessed by the mobile device and the mobile device determines based on the time data that the first time is in a first time window. The first location is transmitted to a particular user device at least responsive to the first time being in the first time window. The mobile device determines a second location of the mobile device at a second time based on the signals received by the mobile device. A first error is applied to the second location at least responsive to the determining of the second location at the second time, and the second location is transmitted including the first error to the particular user device.

Abstract: A traffic control server 31 controls traffic for a first vehicle 70 traveling on an outgoing lane and a second vehicle 20 traveling on a return lane and having attributes that are different from the first vehicle 70. The traffic control server 31 is provided with a travel-permitted zone setting unit 331b for setting a first travel-permitted zone 100, which is a partial zone of the outgoing lane and in which travel of the first vehicle 70 is permitted, and a second travel-permitted zone 200, which is a partial zone of the return lane and in which travel of the second vehicle 20 is permitted. The travel-permitted zone setting unit 331b sets the first travel-permitted zone and the second travel-permitted zone 200 so as to cause the second vehicle to stop or decelerate and the first vehicle to travel when the first vehicle and the second vehicle pass each other.

Abstract: Wireless communications systems and methods related to sharing of sensor data among vehicles are provided. A first vehicle receives, from a second vehicle, first sensing information associated with a first object. The first vehicle detects sensor data associated with a second object. The first vehicle transmits second sensing information associated with the second object based on at least the sensor data, the first sensing information, and a transmission latency budget for the second sensing information. The first sensing information includes geographical location information of the first object. The second sensing information includes geographical location information of the second object. Other aspects, embodiments, and features are also claimed and described.

Abstract: A roadside unit includes a first communicator that performs road-to-vehicle communication with an on-board device incorporated in a first vehicle, a second communicator that communicates with an accident monitoring server, an acquirer that acquires first image information from an imaging device that takes images of object on a road, and a detector that detects an occurrence of an accident caused by a second vehicle based on the first image information acquired by the acquirer. The acquirer acquires vehicle information from the first vehicle via the first communicator when the detector detects the occurrence of the accident. The second communicator transmits, to the accident monitoring server, the first image information and the vehicle information both acquired by the acquirer.

Abstract: Systems and methods are disclosed for determining whether or not a crash involving a vehicle has occurred. The acceleration of the vehicle may be measured using, for example, an accelerometer of a mobile device, which may be located inside the vehicle. The system may determine the magnitude of each accelerometer measurement and whether the magnitude exceeds one or more acceleration magnitude thresholds. The system may also determine the number of accelerometer events within a time window and whether the number exceeds one or more count thresholds. The system may determine whether a crash involving the vehicle has occurred based on the magnitudes of acceleration, number of acceleration events, and various thresholds. In some examples, the system may confirm that a crash has occurred based on, for example, the location of the mobile device.

Abstract: A system includes a laser displacement sensor which is provided on a shoulder of a roadway, emits a laser beam which scans a roadway space in a height direction thereof, receives a beam reflected by an object which is present in the roadway space, and measures a distance up to a reflection point on the object, at which the laser beam was reflected; and a vehicle window detection device that detects a window of the vehicle based on the distance measured by the laser displacement sensor. The vehicle window detection device detects the window of the vehicle based on a change in a distance in a horizontal direction from the laser displacement sensor to the reflection point after the vehicle in the roadway space was detected.

Abstract: The disclosure provides systems and methods for detecting, characterizing, and predicting moving traffic obstacles. The systems and methods are suitable for densely populated areas in resource-constrained regions. With the characterizations and predictions of moving traffic obstacles, a variety of benefits can accrue to individuals and devices that use traffic information.

Abstract: Method of creating a computerized model for computing values representative of traffic congestion in respect of a geographic area for use in representing a degree of traffic congestion in the geographic area using a limited number of symbols, comprising: retrieving, in respect of roads within geographic area, historical traffic data and values representative of traffic congestion; deriving a computerized model for computing values representative of traffic congestion in respect of roads within the geographic area based on the retrieved information.

Abstract: A system, method, and device for operations of an electrically motorized vehicle. The vehicle can utilize an electrically motorized wheel to convert a non-motorized wheeled vehicle to an electrically motorized wheeled vehicle. A user interface for controlling the device of the electrically motorized wheel includes at least one button displayable by the user interface to control a function associated with the device.

Abstract: In various embodiments, the invention involves methods and systems suitable for roadway monitoring, mapping, and maintenance. The probability of a road distress is calculated by combining various sources of data, and automatic alerts are generated to request mobilization of a road repair resource. Various methods are included to increase the accuracy of the probability calculations.

Abstract: A method and apparatus for transmitting a paging for vehicle-to-everything (V2X) communication in a wireless communication system is provided. A network node receives data corresponding to the V2X communication from a first UE, and transmits the paging indicating the V2X communication to a second UE. The network node may further broadcast the data to one or more UEs.

Abstract: Systems and methods are disclosed for determining whether or not a crash involving a vehicle has occurred. A computing device may receive acceleration measurement(s) measured by one or more accelerometers during a time window. The computing device may determine, for one or more acceleration measurements, a corresponding acceleration magnitude. Based on the corresponding acceleration magnitude(s), the computing device may identify, from the acceleration measurement(s), an acceleration measurement and/or may determine whether the acceleration magnitude exceeds a threshold acceleration magnitude. The computing device may corroborate whether a vehicle associated with the mobile computing device was involved in a crash. Data associated with the acceleration magnitude and/or an event, such as a crash event, may be transmitted to a server.

Abstract: Systems and methods are disclosed for determining whether or not a crash involving a vehicle has occurred. The acceleration of the vehicle may be measured using, for example, an accelerometer of a mobile device, which may be located inside the vehicle. The system may determine the magnitude of each accelerometer measurement and whether the magnitude exceeds one or more acceleration magnitude thresholds. The system may also determine the number of accelerometer events within a time window and whether the number exceeds one or more count thresholds. The system may determine whether a crash involving the vehicle has occurred based on the magnitudes of acceleration, number of acceleration events, and various thresholds. In some examples, the system may confirm that a crash has occurred based on, for example, the location of the mobile device.

Abstract: A device may receive, from a beacon device, a first message including a first identifier. The first identifier may be associated with the beacon device. The device may receive, from a user device, a second message including a second identifier. The second identifier may be associated with the user device. The device may determine the second identifier based on the second message and the first identifier. The device may determine an event associated with the second identifier based on the first identifier. The device may provide, to another device, information that identifies the second identifier and the event to permit the other device to identify a displacement trajectory associated with the user device.

Abstract: An embodiment provides a method, including: in a first end user electronic device, running an application that uses device collected data; collecting, using the first end user electronic device, device data for the application; accessing, using a processor of the first end user electronic device, device data collected by another end user electronic device proximate to the first end user electronic device; and using, in the running of the application, one or more of the accessed device data and the collected device data. Other embodiments are described and claimed.

Abstract: A lane-level vehicle routing and navigation apparatus includes a simulation module that performs microsimulation of individual vehicles in a traffic stream, and a lane-level optimizer that evaluates conditions along the candidate paths from an origin to a destination as determined by the simulation module, and determines recommended lane-level maneuvers along the candidate paths. A link-level optimizer may determines the candidate paths based on link travel times determined by the simulation module. The simulation may be based on real-time traffic condition data. Recommended candidate paths may be provided to delivery or service or emergency response vehicles, or used for evacuation planning, or to route vehicles such as garbage or postal trucks, or snowplows.

Abstract: Systems and methods are disclosed for determining whether or not a crash involving a vehicle has occurred. The acceleration of the vehicle may be measured using, for example, an accelerometer of a mobile device, which may be located inside the vehicle. The system may determine the magnitude of each accelerometer measurement and whether the magnitude exceeds one or more acceleration magnitude thresholds. The system may also determine the number of accelerometer events within a time window and whether the number exceeds one or more count thresholds. The system may determine whether a crash involving the vehicle has occurred based on the magnitudes of acceleration, number of acceleration events, and various thresholds. In some examples, the system may confirm that a crash has occurred based on, for example, the location of the mobile device.

Abstract: A method and system includes identification of road segments with multi-modal traffic patterns. A server receives speed data for a link. The server calculates a quantity of speed clusters from the speed data. The server calculates speed profiles for the quantity of speed clusters. The server identifies one or more modes of transportation for the link based on the quantity of the speed clusters and the speed profiles for the quantity of speed clusters.

Abstract: Provided is a mechanism for producing an uncertainty-based traffic congestion index, wherein the mechanism may comprise: obtaining a plurality of GPS data points; dividing the plurality of GPS data points into a plurality of variable sliding windows, wherein the dividing maximizes an amount of shape information in each of the plurality of variable sliding windows, performing a map matching process on the plurality of GPS data points as the GPS data points had been divided by the dividing; calculating a confidence value indicative of the map matching process; and producing the traffic congestion index, wherein the traffic congestion index is produced by taking into account the calculated confidence value indicative of the map matching process. In various embodiments, such a mechanism may be implemented via systems, methods and/or computer program products.

Abstract: The invention provides a portable apparatus for reading a license plate, sensing speed and recognizing a face, which comprises a camera placed on the front right and front left and both sides of the system which enables the system to capture images and recognize faces, LED lighting located around the cameras which are directed towards a visual direction and which enable capturing of legible images even at night time, police lights placed at the front and rear faces of the base which can flash on and off when necessary, an alarm control device, Ethernet connection forming the network, cooling device which eliminates the heat formed inside the apparatus, a control card which operates the police lights, modem which continuously provide wireless communication and a top cover which encloses the entire system.

Abstract: An approach is provided for determining one or more varying decay rates associated with one or more road segments. The approach involves causing, at least in part, a decaying of real-time traffic data to historical traffic data associated with the one or more road segments based, at least in part, on the one or more varying decay rates. The approach also involves determining one or more traffic predictions for the one or more road segments based, at least in part, on the decaying of the real-time traffic data to the historical traffic data.

Abstract: A user interface method for a terminal for a vehicle is provided. The terminal obtains position information to detect a point of a road. A road image of a driving direction is obtained, a lanes of the road represented on the obtained road image is recognized, and a point of a road and lane in which the vehicle having the terminal arranged therein is detected. A virtual road image regarding the recognized lanes is generated, and the generated virtual lanes are added to the road image of the driving direction of the vehicle, and displayed. Traffic information for each lane and surrounding information (i.e. lane closure, construction, accident, etc.,) at the detected point of the relevant road are obtained, and the obtained information is displayed for each virtual lane.

Abstract: This vehicle guidance system carries out guidance of vehicles that are traveling on roads making up a road network, the vehicle guidance system being provided with: a flow detection unit that detects the flow of vehicles on each of the roads making up a road network, and generates flow information indicating the detection result; a storage unit that creates associations between the flow information for the roads which has been generated by the flow detection unit, and road-identifying information indicating the corresponding roads, and storing the information; a decision unit that, for each of the roads making up the road network, specifies a candidate road that is a road which vehicles flow from the road in question, acquires the flow information that is stored in association with the road-identifying information indicating the specified candidate road in question, and based on the acquired flow information, decides on a flow increase or decrease policy of vehicles on the candidate road; and a guidance unit

Abstract: A method and system for providing a driving condition alert to vehicle drivers and others are disclosed. The alert is provided based on road location and attribute data; real-time, historic, and forecast traffic data; real-time, historic, and forecast weather data; and/or scheduled and unscheduled event data. The alert may include information indicating the reason for the alert provided. In addition, the alert may include a relative scale of hazard (e.g., a scale of 1-10 with 1 representing no hazard and 10 representing the highest hazardous condition). As a result of receiving the alert, the driver may adjust their route or driving behavior.

Abstract: Example systems and methods allow for reporting and sharing of information reports relating to driving conditions within a fleet of autonomous vehicles. One example method includes receiving information reports relating to driving conditions from a plurality of autonomous vehicles within a fleet of autonomous vehicles. The method may also include receiving sensor data from a plurality of autonomous vehicles within the fleet of autonomous vehicles. The method may further include validating some of the information reports based at least in part on the sensor data. The method may additionally include combining validated information reports into a driving information map. The method may also include periodically filtering the driving information map to remove outdated information reports. The method may further include providing portions of the driving information map to autonomous vehicles within the fleet of autonomous vehicles.

Abstract: Methods, systems, and computer program product for location determination using dual statistical filters are described. A mobile device can determine a location of the mobile device using a particle filter and a Kalman filter. The particle filter can filter candidate locations of the mobile device using measurements of environment variables in the venue. The Kalman filter can filter inputs from a sensor of the mobile device for measuring angular movement of the mobile device. The particle filter and the Kalman filter can be linked by heading of the mobile device. Output of the Kalman filter can be used to determine where to place particles, or candidate locations, in a next iteration of the particle filter. Output from the particle filter can be used to determine a center mode of the Kalman filter and to determine a bias of the sensor for measuring angular movement.

Abstract: Systems, methods, and apparatuses are disclosed for identifying road signs along a roadway segment from vehicle probe data. Probe data is received from vehicle sensors at a road segment, wherein the probe data includes observed static objects along the road segment. Road signs are identified within the observed static objects of the probe data using a logistic regression algorithm. The geographic location of the identified road signs are determined using a linear regression algorithm.

Abstract: Methods for reporting traffic conditions on road segments containing a bottleneck include: (a) calculating an amount of traffic congestion on a segment of a roadway, the segment containing a bottleneck, based on a free-flow speed specific to a subsection of the segment from which a report of an observed speed is received; and (b) communicating, by the computer processor, information indicative of the amount of traffic congestion on the segment to a client. Apparatuses for reporting traffic conditions on road segments containing a bottleneck are described.

Abstract: Methods for differentiating high quality probe reports in a plurality of probe reports include: (a) receiving, by a processor, a probe report from a probe source, wherein the probe report includes data indicative of a travel condition; (b) determining, by the processor, whether the probe report satisfies a criterion indicative of high quality data; and (c) identifying, by the processor, the probe report as being (i) suitable for use in modeling the travel condition if the probe report satisfies the criterion, or (ii) unsuitable for use in modeling the travel condition if the probe report does not satisfy the criterion. Systems for differentiating high quality probe reports in a plurality of probe reports are described.

Abstract: A system is provided for estimating time travel distributions on signalized arterials. The system may be implemented as a network service. Traffic data regarding a plurality of travel times on a signalized arterial may be received. A present distribution of the travel times on the signalized arterial may be determined. A prior distribution based on one or more travel time observations may also be determined. The present distribution may be calibrated based on the prior distribution.

Abstract: A package, wireless sensor module, wireless sensor node and wireline sensor node are disclosed including a radar configured to embed beneath vehicles in pavements, walkways, parking lot floors and runways referred to herein as in ground usage. An access point interfacing to at least one of the sensors is disclosed to provide traffic reports, parking reports, landing counts, takeoff counts, aircraft traffic reports and/or accident reports based upon the sensor's messages regarding the radar and possibly magnetic sensor readings. A runway sensor network is disclosed of radar sensors embedded in lanes of at least one runway for estimating the landing count and/or takeoff count effect of aircraft.

Abstract: Estimation of traffic speed includes applying data processing functions to determine missing speed information by smoothing spatial and temporal GPS data to achieve an accurate estimation of link speed over all links of a transportation network at all time periods. This estimation of traffic speed uses one link's observed speed information to estimate neighboring links without observed speed information and therefore provides a system and method of processing collected GPS data to obtain a thorough understanding of traffic flow conditions for all represented links without further collection of GPS data. The present invention also provides a framework for analyzing and improving real-time collection of GPS speed data.

Abstract: In a navigation method, at least one constant travel characteristic (CONST_KW) is determined that is representative of a vehicle-specific energy requirement with respect to a predetermined trip length at quasi-constant speed and on a quasi-level stretch. At least one dynamic characteristic (DYN_KW) is determined that is representative of a vehicle-specific energy requirement with respect to a predetermined trip length at quasi-dynamic speed and on a quasi-level stretch. The constant travel characteristic (CONST_KW) is respectively adapted on the basis of at least one vehicle-specifically determined energy consumption characteristic (EV_KW) for a traveled route segment that has been recognized as quasi-level and in which a quasi-constant speed was detected.

Abstract: Two friends can pair wireless communication devices which subsequently exchange positional information peer-to-peer or through a cloud server. Each device presents a map showing its location and the location of the paired device. Instructions can be provided to the device playing a follower role of how to reach the current location of the other device, which plays a leader role. In turn the leader device can present information as to the location of the follower device so that a user of the leader device can ascertain if the follower is off-track.

Abstract: An approach for providing mapping information and route information based on exception information received from various users travelling within a common area is described. A navigation system processes travel information associated with one or more devices for comparison against predetermined route information. The navigation system also determines one or more exceptions based, at least in part, on the comparison. The predetermined route information, mapping information, or a combination thereof it then caused to be updated based, at least in part, on the processing of the one or more exceptions.

Abstract: There is disclosed a method of providing detailed information using a multimedia based traffic and travel information message and a terminal for executing the same. A method of providing detailed information using a multimedia based traffic in accordance with this document may comprise receiving transport protocol expert group (TPEG) information, comprising a road traffic message and a multimedia based traffic and travel information message and comprised of a hierarchical structure, displaying one or more events comprised in the road traffic message, allowing a request for detailed information about any one of the events to be input, and receiving detailed information of a multimedia type from a multimedia data providing server through specific one of bearer information comprised in the multimedia based traffic and travel information message and providing the received detailed information.

Abstract: Systems and methods for estimating traffic signal information are provided. According to one aspect, positioning system data is obtained from a plurality of vehicles. Each data set includes the position and the velocity of a vehicle as functions of time. For an intersection having a traffic signal, an average acceleration of the vehicles when leaving the intersection is estimated, and an average deceleration of the vehicles when approaching the intersection is estimated. For each of a subset of the vehicles, a stop duration at the intersection is estimated based on the average acceleration, the average deceleration, and the positioning system data for the respective vehicle. A duration of a red phase of the traffic signal is estimated based on the stop duration of each of the subset of the vehicles.

Abstract: Computer-implemented systems and methods are disclosed for distance and congestion-aware resource deployment. In some embodiments, a method is provided to estimate a vehicle deployment region. The method includes constructing a graph data structure using at least in part a single invocation of a form of Dijkstra's algorithm. The method additionally includes partitioning an angular space centered on a vehicle location into a plurality of angular space regions, the vehicle location corresponding to a current or potential location of the vehicle.

Abstract: Ground-based devices are provided which each have a transceiver apparatus and a data memory. Route data are stored in the data memory. This route data can be transmitted in a wireless fashion from the ground-based device to motor vehicles so that information relating to such a route is made available in the motor vehicles which are located outside the sensing range of a sensing apparatus of the motor vehicle.

Abstract: A method and system for obtaining traffic information from mobile Bluetooth detectors is disclosed. A mobile Bluetooth detector is a device located in a moving vehicle that includes Bluetooth and GPS firmware for collecting data from Bluetooth enabled devices. The mobile Bluetooth detector transmits the collected data to a remote facility where the data is processed to generate traffic information. A pair of mobile Bluetooth detectors may be used to collect data for generating ground truth.

Abstract: A method and system for predicting impact of traffic incidents on a road network by using a classification scheme to identify a known impact classes associated with captured traffic data.

Abstract: A system for managing vehicles on a road network includes a processor that performs operations including accessing a matrix of vehicle parameters of a plurality of communicating vehicles on the road network, and representing the plurality of communicating vehicles in a graph with a plurality of nodes corresponding to the plurality of communicating vehicles and with a plurality of edges corresponding to the vehicle parameters. The system can include partitioning, with the processor, the graph to reduce disruptions to the road network below a threshold level to support safe and efficient traffic flow, and assigning one or more exclusion zones within the road network to each partition of the graph by associating the vehicle parameters for each vehicle.

Abstract: Techniques are described for assessing road traffic conditions in various ways based on obtained traffic-related data, such as data samples from vehicles and other mobile data sources traveling on the roads and/or from one or more other sources (such as physical sensors near to or embedded in the roads). The road traffic conditions assessment based on obtained data samples may include various filtering and/or conditioning of the data samples, and various inferences and probabilistic determinations of traffic-related characteristics of interest from the data samples. In some situations, the inferences include repeatedly determining current traffic flow characteristics and/or predicted future traffic flow characteristics for road segments of interest during time periods of interest, such as to determine average traffic speed, traffic volume and/or occupancy, and include weighting various data samples in various ways (e.g., based on a latency of the data samples and/or a source of the data samples).

Abstract: A system and method for providing a suggested modification to road characteristics is provided. Signals indicating locations of several users are received at different points in time. A flow of traffic corresponding to the several users is determined based on an analysis of the locations of the several users at the different points in time. A high traffic area is identified in the determined flow of traffic by comparing the determined flow of traffic with a predetermined baseline flow of traffic. Road characteristics in the identified high traffic area are analyzed and a suggested modification to at least one of the road characteristics based on the analyzing of the road characteristics is provided.

Abstract: Computer program products, methods, systems, apparatus, and computing entities are provided for forecasting travel delays corresponding to streets, street segments, geographic areas, geofenced areas, and/or user-specified criteria. And from the forecasted travel delays, speed and travel times that take into account such travel delays can be determined.

Abstract: Methods, systems, and devices for monitoring roadway traffic. A method includes transmitting wireless signals from at least one roadside equipment (RSE) device and receiving responses by the RSE device from a wireless device, the responses including a unique identifier corresponding to the wireless device. The method includes determining a signal strength of each of the responses by the RSE device and transmitting response data from the RSE device to a control system, the response data including the unique identifier, the signal strength of each of the responses, and times that the responses were received. The method includes detecting at least one vehicle by the control system using a vehicle detection device and associating the response data with the detected vehicle. The method includes determining traffic information associated with the wireless device based on the received response data and the associated detected vehicle.