Abstract: A demand responsive operation system includes: a user terminal; an on-demand vehicle that operates based on a use request from the user terminal; and an operation management center that manages an operation of the on-demand vehicle. The operation management center includes a use receiver and an operation plan generator. The use receiver receives the use request from the user terminal. The operation plan generator generates an operation plan within a permissible range of a reference operation schedule based on the reference operation schedule and the use request received by the use receiver, the reference operation schedule having an operation section, a departure place departure time and a final destination arrival time preset, and provides the generated operation plan to the on-demand vehicle and the user terminal. The user terminal presents this operation plan to a user, and the on-demand vehicle operates according to this operation plan.

Abstract: A computer-implemented system and method for facilitating communication via an audio centric network are provided. A plurality of drivers are monitored, and a location of at least one of the drivers is determined. A social bubble comprising a network of other drivers proximate to the driver is determined based on the identified location. A command is received from the driver, and the command is transmitted to one or more of the drivers in the social bubble.

Abstract: Apparatuses, methods and computer programs for a local platooning controller and a global platooning controller and a platooning system. The apparatus for a local platooning controller of a transportation vehicle includes a transceiver module which receives information related to a control command from a global platooning controller and transmits feedback information to the global platooning controller. The apparatus includes a control module which controls the transceiver module. The control module determines information related to a deviation between control information received with information related to the control command from the global platooning controller and an actual state of the transportation vehicle, and effects transmission of feedback information based on the information related to the deviation.

Abstract: A method for operating a hybrid electric vehicle and hybrid electric vehicle are provided. The vehicle includes an internal combustion engine and an electric engine, which are operated by an electric controller, and a telecommunication system is communicatively coupled to the electric controller. The method includes determining if a telecommunication session is initiated or ongoing by the telecommunication system based on communication data provided by the telecommunication system to the electric controller. A current driving condition of the vehicle is determined based on driving data obtained by the electric controller to determine if an electric driving mode of the hybrid electric vehicle is feasible for the current driving condition. The hybrid electric vehicle is operated in the electric driving mode during the telecommunication session while the electric driving mode is feasible.

Abstract: Disclosed is an air source system for supplying air to a turbine engine by fracturing manifold equipment, including an air supply device, an air delivery manifold, a filtering device, a gas detecting system and a connecting device, the air delivery manifold, the filtering device and the gas detecting system are integrated on the fracturing manifold equipment, the air supply device is connected to the air delivery manifold through the filtering device, and the air delivery manifold supplies air to the turbine engine through the connecting device. Beneficial effects: avoiding the hidden danger of the high pressure region, saving the floor space, avoiding the wiring of on-site delivery manifold, enhancing the connection efficiency, and reducing the difficulty of wellsite installation.

Abstract: Signal Phase and Timing (SPaT) messages are provided to control operation of a vehicle. A computer system receives switching state data (SD1) from one or more traffic lights and provides a SPaT message to the vehicle. The SD1 of a traffic light includes a pass-state (SD1p) and a stop-state (SD1s) data at respective sampling time points. A signal analyzer in the computer system analyzes the SD1 by: identifying the current signal state (SD1s, SD1p) of the one or more traffic lights; deriving, from a statistical model, probabilities for future state transitions for one or more future prediction intervals; and determining a minimum end time for a state transition from a current state to the different state. A message composer composes the SPaT message including the determined minimum end time.

Abstract: A method for operating an automated mobile system includes determining a first trajectory based on driving environment data recorded by a sensor system of the system, determining at least a permissible second trajectory from a defined data source that is independent of the sensor system, comparing the planned, first trajectory to the at least one second trajectory, and, in response to a defined deviation of the planned first trajectory from the at least one permissible second trajectory, determining the first trajectory in a process modified in a defined manner.

Abstract: A close cut-in vehicle identification apparatus includes an information generator configured to generate sensor fusion information, estimated vehicle state information, and risk determination information based on surrounding vehicle information upon receiving the surrounding vehicle information, a feature combination generator configured to extract a plurality of features based on the sensor fusion information, the estimated vehicle state information, and the risk determination information and to combine the extracted features to generate a plurality of feature combinations, a classification learner configured to classify and learn the plurality of feature combinations depending on a weight factor, and a vehicle intention determination device configured to determine intention of a surrounding vehicle based on a classification learning result value to select an optimum feature combination corresponding to identification of the close cut-in vehicle and configured to determine a situation of the close cut-in veh

Abstract: A parking support ECU 10 detects a parking area based on a camera image acquired by cameras 20A through 20D for photographing a surrounding area of an own vehicle. The ECU displays a parking completed location to superimpose the parking completed location on the parking surrounding area. The parking completed location is a location of the own vehicle when parking to the parking area is completed. In the case where an obstacle having a height equal to or greater than a first threshold height H1th is present in the parking area, the ECU extrapolates, as the parking completed location, a location obtained by moving a normally completed location in an entering direction of the parking area by a specific distance which is determined based on a location of the obstacle. The normally completed location is the parking completed location when no obstacle is present in the parking area.

Abstract: Provided is a method of estimating a speed of a vehicle includes obtaining time domain acoustic data from an acoustic storage apparatus when the vehicle passes over a horizontally grooved road; calculating frequency domain acoustic data from the time domain acoustic data by using Fourier transformation; calculating, from the frequency domain acoustic data, a resonance frequency of sound generated between tires of the vehicle and horizontal groovings in the road; and estimating the speed when the vehicle passes over the horizontally grooved road by multiplying the resonance frequency by an interval of the horizontal groovings.

Abstract: Systems and methods for obstacle avoidance with a self-driving vehicle are provided. The system comprises a processor connected to the self-driving vehicle and a sensor in communication with the processor. The sensor is configured to detect objects. The processor is configured to receive a measurement of the self-driving vehicle's speed, and define a sensor region based on the speed. The processor can determine that an object detected by the sensor is within the sensor region, and then initiate a fail-safe routine. The sensor region may be defined based on a range parameter. The sensor region may be defined based on the stopping distance of the vehicle. The sensor region may be redefined when the vehicle's speed changes.

Abstract: A driving support device includes a memory and a processor including hardware. When a vehicle is placed inside a rest facility and at least one of parameters indicative of respective states of traffic jams on roads ahead of and behind the rest facility satisfy a predetermined reference, the processor transmits, to a device related to the vehicle, information that proposes a departure from the rest facility.

Abstract: A method for predicting a construction-related driving-route change of a driving route for a vehicle includes at least a step of reading in and a step of detecting. In the step of reading in, at least one image signal is read in, which represents an image, recorded by the vehicle, of a construction-site parameter in the environment of the driving route. In the step of detecting, the impending driving-route change is detected using the image signal.

Abstract: Disclosed herein are systems, methods, and computer readable-media for temporally adaptive media playback. The method for adaptive media playback includes estimating or determining an amount of time between a first event and a second event, selecting media content to fill the estimated amount of time between the first event and the second event, and playing the selected media content possibly at a reasonably different speed to fit the time interval. One embodiment includes events that are destination-based or temporal-based. Another embodiment includes adding, removing, speeding up, or slowing down selected media content in order to fit the estimated amount of time between the first event and the second event or to modify the selected media content to adjust to an updated estimated amount of time. Another embodiment bases selected media content on a user or group profile.

Abstract: A method for a semi-automatic or automatic controller of a transportation vehicle during starting to prevent an accordion effect when starting the transportation vehicle in a queue of transportation vehicles. A driving intention message is received from a further transportation vehicle which displays information relating to a planned starting process of the further transportation vehicle. It is also determined whether the further transportation vehicle is located directly in front of the transportation vehicle. If it is determined that the further transportation vehicle is located directly in front of the transportation vehicle, a parameter for the semi-automatic or automatic controller of the transportation vehicle is determined based on the received driving intention message.

Abstract: Disclosed herein is a navigation apparatus that includes a receiver and a controller. The receiver may receive a plurality of events related to traffic information. The controller may be configured to generate an integrated event by processing the plurality of events when the plurality of events overlap or are consecutive events. The controller may calculate an average speed of the integrated event.

Abstract: Users within transit in a vehicle may initiate location queries to fulfill a set of interests, such as stops for food, fuel, and lodging. A device may fulfill the queries according to various factors, such as the distance of nearby locations to the user or to another location specified by the user, and the popularity of various locations. However, the user may not have specified or even chosen a route, and may wish to have interests fulfilled at a later time (e.g., stopping for food in 30 minutes), and a presentation of search results near the user's current location may be unhelpful. Presented herein are techniques for fulfilling location queries that involve predicting a route of the user, and identifying a timing window for the query results (e.g., locations that are likely to be near the user's projected location when the wishes to stop for food in 30 minutes).

Abstract: A mapping system, method and computer program product are provided to identify a parking lot from probe data. In the context of a mapping system, processing circuitry is configured to determine a parking likelihood for each grid cell based upon probe data points associated with the respective grid cells and to identify likely parking locations in instances in which the parking likelihood for a respective grid cell satisfies a predefined threshold. The processing circuitry is also configured to cluster likely parking locations to identify parking lot clusters and to determine the boundary of the parking lot pursuant to a deformable contour model which causes a polygon to expand from a respective parking lot cluster so as to represent the boundary of the parking lot. The processing circuitry is further configured to update a map to include the parking lot having the boundary determined pursuant to the deformable contour model.

Abstract: A system and method for controlling vehicles and for providing assistance to operated vehicles is discussed and described herein.

Abstract: A method, apparatus, and computer program product are disclosed for self-service design, scheduling, and delivery of user-defined reports regarding promotions. The method includes receiving, from a user device, a report type and report delivery information. Based on the report type, relevant data regarding the one or more promotions is collected, using which a report is generated. The method then outputs the generated report based on the report delivery information. Optionally, analytical insights, such as trends within the data, sample size, suitability of control data, and indications of statistical significance, are generated and included in the report. A corresponding apparatus and computer program product are also provided.

Abstract: An automatic driving control apparatus includes a controller. Upon execution of an automatic driving control of a vehicle, the controller determines, on the basis of a result of positioning and map information, presence or absence of a tollgate within a predetermined distance from the vehicle. The controller makes a transition to a tollgate passing mode, on a condition that the presence of the tollgate is determined within the predetermined distance and an increase in width of the road is further recognized on the basis of a result of recognition of an outside environment. In the tollgate passing mode, the controller sets a first target path on the basis of position information, of the tollgate, that is recognized on the basis of the result of the recognition of the outside environment. The first target path is a target path along which the vehicle is to pass through the tollgate.

Abstract: The disclosure includes embodiments for providing a service to a vehicle via a macro-vehicular cloud. A method, according to some embodiments, is implemented by the vehicle which communicatively coupled to the macro-vehicular cloud via a Vehicle-to-Everything (V2X) network. The macro-vehicular cloud includes a plurality of micro-vehicular clouds which each include a set of onboard vehicle computers that are operable to provide a set of computing resources to the macro-vehicular cloud via the V2X network. The method includes transmitting, via the V2X network, a wireless message requesting a service from the macro-vehicular cloud. The method includes receiving, via the V2X network, the service from the set of computing resources of the macro-vehicular cloud.

Abstract: A method for estimating road travel time based on the built environment and low-frequency floating car data belongs to the technical field of urban traffic management and traffic system evaluation. The method takes built environment as an explanatory variable of the road travel time. The interpretability of this variable is proved by a numerical example. In addition, the method determines distribution parameters of road travel time using the number distribution of vehicles instead of distance. The benefits of the method are that: (1) it explains the positive effect of built environment on road travel time; and (2) it reflects the speed difference among different road sections, which can improve the precision of estimating road travel time.

Abstract: Various embodiments of systems and methods for optimizing vehicle utilization are described herein. The method includes determining demand, supply, and availability of vehicles. A graph with nodes (representing source and destination stations of orders) and arcs connecting nodes is generated based on validity conditions, e.g., there is network connectivity from source to destination node, etc. The arc is assigned for repositioning, waiting, and loaded move based upon input such as tolerable delay for orders, waiting cost at stations, repositioning cost, long stand cost, revenue generated from orders, order priority, etc. A network flow solver is successively executed to solve the graph to maximize profit, optimized utilization of vehicles, fulfill order on time, and balance demand and supply. Output tables including key performance indicators (KPIs) and information of fulfilled and unfulfilled orders are generated.

Abstract: Provided are an accurate load shedding system, and a communication method and an access apparatus thereof. The access apparatus includes: two E1 interfaces, eight optical fiber interfaces, a CPU and an FPGA. The two E1 interfaces are respectively connected to a control apparatus A and a control apparatus B of a control substation. The eight optical fiber interfaces are respectively connected to eight control terminals. The FPGA includes eight optical fiber transceivers respectively connected to the eight optical fiber interfaces through serial interfaces, and two E1 transceivers respectively connected to the two E1 interfaces through serial interfaces. Each optical fiber transceiver includes a reset submodule. Each E1 transceiver also includes a reset submodule. The CPU is connected to the FPGA through a parallel bus.

Abstract: Systems and methods are provided for increasing the geospatial resolution of traffic information by dividing known location intervals into a fixed number of sub-segments not tied to any one map providers format, efficient coding of the traffic information, and distribution of the traffic information to end-user consuming devices over one or more of a satellite based broadcast transport medium and a data communications network. Exemplary embodiments of the present invention detail a nationwide traffic service which can be encoded and distributed through a single broadcast service, such as, for example, an SDARS service, or a broadcast over a data network. Exemplary embodiments include aggregating the traffic data from segments of multiple location intervals, into predefined and predetermined flow vectors, and sending the flow vectors within a data stream to users.

Abstract: A street lamp integration device, a street lamp system and a communication method are disclosed. The street lamp integration device includes a local area network module configured to generate a local area network covering a first range, a traffic collector configured to collect traffic information in a second range and send the same to a communication module and the communication module configured to send the traffic information to a vehicle connected to the local area network. By extensive availability and close mutual distance of street lamps, a local area network is formed within the first range of each street lamp, which helps to to form a network of comprehensive coverage and extensive range. The traffic collector can collect traffic in a certain range and send the same to the vehicle connected to the local area network through the communication module, facilitating awareness of the current traffic by the vehicle.

Abstract: Techniques are generally described for catch-up pacing for video streaming. In various examples, a camera may capture first video data representing a physical environment. In some examples, motion in the physical environment may be detected from the first video data. A communication channel may be established with a remote computing device. In some examples, the camera may capture second video data. In various examples, the second video data may be captured during a period of time corresponding to the establishment of the communication channel. An available bandwidth of the communication channel may be determined. The available bandwidth may comprise a first bitrate. Third video data may be captured by the camera. The third video data may be encoded at a second bitrate lower than the first bitrate. The first video data, second video data and third video data may be sent to the remote computing device.

Abstract: Traffic data reconciliation and brokering are provided. A traffic data brokering system ingests traffic-related data provided from a plurality of data sources, analyzes the data, and reconciles the data for identifying accurate, up-to-date, and comprehensive traffic data. The system identifies current traffic conditions based on identified relationships between pieces of received data, calculates confidence scores, and determines which pieces of data are accurate based on the calculated confidence scores. The traffic data brokering system provides the reconciled traffic data to various users of traffic data, such as individuals or third-party services. One aspect includes a route generation engine that determines and provides recommended route(s) to clients. Another aspect includes a forecast engine that predicts traffic conditions based on past traffic data. The forecasted data can be used to determine recommended routes.

Abstract: A vehicle and a traffic infrastructure device both determine their respective locations, at least one of which uses a positioning device to determine its location. At least one sends its respective location to the other, which compares the two locations, identifies a location difference, generates calibration information based on the location difference, and either calibrates the positioning device based on the calibration information or transmits the calibration information to the other device for the other device to calibrate the positioning device.

Abstract: The invention provides an apparatus, a method, a computer program product and an electronic device where, in accordance with the method there includes steps of implementing a search mediator function that is interposed between a plurality of applications and a plurality of search functions; and operating the search mediator function for receiving search queries from individual ones of the plurality of applications, forwarding received search queries to appropriate ones of the plurality of search functions, and providing search results to respective ones of the plurality of applications in accordance with at least application-specific search profiles.

Abstract: An image acquisition unit 341-1 acquires a polarization image and a non-polarization image indicating a peripheral area of a moving body, such as the peripheral area of a vehicle. A discrimination information generation unit 342-1 uses the polarization image acquired by the image acquisition unit 341-1 and generates analysis object discrimination information indicating a road surface or the like. An image analysis unit 344-1 uses an image of an image analysis area set on the basis of the analysis object discrimination information generated by the discrimination information generation unit 342-1 with respect to the non-polarization image acquired by the image acquisition unit 341-1, and performs a discrimination of an object, such as an obstacle on the road surface. It is possible to efficiently perform a determination of the presence of the object from the non-polarization image of the peripheral area of the moving body.

Abstract: A vehicle control device includes: a motor information acquisition unit, a transmitting unit, a receiving unit and a motor controller. The motor information acquisition unit is configured to acquire motor information about a motor for driving a vehicle with the motor being in a predetermined state. The transmitting unit is configured to transmit the acquired motor information to an external server. The receiving unit is configured to receive an adaptive value of a motor control parameter. The adaptive value is adapted by the server on a basis of the motor information. The motor controller is configured to control the motor on a basis of the received adaptive value.

Abstract: An object detection device includes: a classifier that receives, from a radar device that transmits a transmission wave and receives a reflected wave that is the transmission wave reflected by an object around a subject vehicle, detection result information indicative of an intensity, an azimuth, and a Doppler velocity obtained from a Doppler frequency shift of the reflected wave, and determines whether the detection result information is first detection result information corresponding to a moving object or second detection result information corresponding to a still object; a calculator that calculates distances from the radar device to reflection points of the moving object on the basis of the first detection result information; and an output that supplies, to a predetermined device, first reflection point information indicating the distances of the reflection points and azimuths of the reflection points based on the radar device.

Abstract: A vehicle periphery information management device includes a data acquisition unit, and a data selection unit. The data acquisition unit is configured to acquire a plurality of pieces of external environment information data around a vehicle. The data selection unit is configured to select apart of the plurality of pieces of external environment information data acquired by the data acquisition unit so as to make an output outside, based on a predetermined position of the vehicle.

Abstract: The present invention relates to a vehicle and a control method therefor. The vehicle according to one embodiment of the present invention comprises: at least one sensor for acquiring traveling information of the vehicle and external environment information of the vehicle; and a control unit for receiving traveling information of a first group, wherein the vehicles, which join the first group, are traveling on a road including a plurality of lanes, for determining a target position of the vehicle for the first group on the basis of at least one of the vehicle traveling information, the external environment information, and the traveling information of the first group, and for controlling the vehicle so as to execute at least one operation corresponding to the target position.

Abstract: A method comprising determining speed-time cluster application histogram data set for a link segment that comprises a plurality of speed-time cluster application histogram data elements, each speed-time cluster application histogram data element identifying a speed-time cluster and an applicable duration of the speed-time cluster for the link segment throughout a histogram duration, for each speed-time cluster application histogram data element, determining a free-flow speed that is representative of a non-congestion speed indicated by the speed-time cluster, determining a historically normalized free-flow speed for the link segment that is a weighted average of the free-flow speed determined for each speed-time cluster application histogram data element weighted by the applicable duration of the speed-time cluster application histogram data element, and identifying a transit speed of the link segment as being the historically normalized free-flow speed is disclosed.

Abstract: A system (100) and method (300,400,500) for determining a path of a moving vehicle. The system (100) performs the method to obtain location points relating to a moving device (302); determine at least one average velocity of the moving device between two location points (304,406); remove at least one interfering location point from the location points based on the at least one average velocity (412); determine the remainders of the plurality of location points as a set of effective location points based on the at least one average velocity (306,414); determine a path of the moving device based on the set of effective location points (308); and store data for the path of the moving device in the one or more storage media.

Abstract: An approach is disclosed that reduces traffic network delays by identifying optimal sensor locations for one or more time periods and by controlling traffic signals through optimized sensor deployment.

Abstract: Aspects of the disclosure relate to classifying teh status of objects. For examples, one or more computing devices detect an object from an image of a vehicle's environment. The object is associated with a location. The one or more computing devices receive data corresponding to the surfaces of objects in the vehicle's environment and identifying data within a region around the location of the object. The one or more computing devices also determine whether the data within the region corresponds to a planar surface extending away from an edge of the object. Based on this determination, the one or more computing devices classify the status of the object.

Abstract: Embodiments include methods, systems, and computer program products for remediating a color vision deficiency. Aspects include receiving a user profile. Aspects also include receiving a real time location image including a plurality of objects. Aspects also include determining an image context. Aspects also include generating a situational notification based at least in part upon the user profile, the real time location image, and the image context.

Abstract: A method of processing a vehicle-to-everything (V2X) message in a V2X message transmitting entity may comprise obtaining, at the V2X message transmitting entity, status information of a transmission target entity; determining adaptively a security level for a V2X message to be transmitted to the transmission target entity based on the obtained status information; and generating the V2X message according to the determined security level, and transmitting the V2X message to the transmission target entity. Because security levels of V2X messages are adaptively determined, the V2X messages can be processed according to a processing capability of the transmission target entity and the type of the V2X message, thereby assuring the safety of the driver.

Abstract: Methods and software utilizing artificial neural networks (ANNs) to estimate density and/or flow (speed) of objects in one or more scenes each captured in one or more images. In some embodiments, the ANNs and their training configured to provide reliable estimates despite one or more challenges that include but are not limited to, low-resolution images, low framerate image acquisition, high rates of object occlusions, large camera perspective, widely varying lighting conditions, and widely varying weather conditions. In some embodiments, fully convolutional networks (FCNs) are used in the ANNs. In some embodiments, a long short-term memory network (LSTM) is used with an FCN. In such embodiments, the LSTM can be connected to the FCN in a residual learning manner or in a direct connected manner. Also disclosed are methods of generating training images for training an ANN-based estimating algorithm that make training of the estimating algorithm less costly.

Abstract: An example unmanned aerial vehicle traffic signal and related methods are disclosed. The example unmanned aerial vehicle includes a housing, a rotor, a motor, a sensor, a traffic signal, and a processor. The rotor is to lift the housing off ground. The motor is to drive the rotor. The sensor is to monitor traffic. The traffic signal is carried by the housing. The processor is to control the traffic signal based on the traffic monitored by the sensor.

Abstract: A network computer system operates to receive a plurality of service requests over a given time interval, where individual service requests specify a respective target destination and a current location of a respective requester device. For each service request, the network computer system arranges a pooled transport service for the corresponding requester by selecting a service start location, and instructions for enabling the requester to travel to the service start location. The network computer system may select the service provider based on a variety of considerations, including the service start location, the current location of the corresponding service provider, and the determined time interval.

Abstract: An automated driving system (402) for automated driving of road vehicle is provided herein. The automated driving system (402) includes a navigation module (202) configured to receive initial waypoints from a road model (602), and further configured to generate modified waypoints, based on squint radar data and inertial measurement unit (604). The automated driving system (402) further includes a guidance module (504) configured to generate a smooth reference path for the vehicle (102) to follow, based upon the modified waypoints. The automated driving system (402) further includes a control module (506) configured to control movement of the vehicle (102) along the generated reference path.

Abstract: Systems herein can recommend files to users based on meeting information. The system can include a secure email gateway that forwards meeting invitations to an email server and a content server. The system can extract invitee information, meeting timing information, and an attachment from the meeting invitation. During a time period based on the meeting timing information, the content server can cause a managed content application on an invitee's user device to visually identify the attachment as a recommended file. This can allow the user to locate and access relevant files for a meeting, including files that are not attached to the meeting invite, at one location.

Abstract: An in-vehicle device includes first circuitry configured to: detect that a predetermined lane change has been made in a vehicle; acquire information indicating acceleration of the vehicle, the acceleration being an acceleration at a time when the lane change is made; judge a traveling environment of the vehicle, the traveling environment being a traveling environment when the lane change is made; decide a first risk level by comparing the information indicating the acceleration acquired by the first circuitry with one or more first threshold values; and determine a risk level of the lane change using the first risk level decided by the first circuitry and the traveling environment of the vehicle judged by the first circuitry.

Abstract: Methods and systems include determining travel information from vehicles. In one embodiment, a system monitors traffic on a roadway in real-time. The system includes a plurality of reader devices. The reader devices are capable of asynchronously capturing a unique network identifier of a device in a vehicle when the device is disposed in reader range of the reader devices. The reader device time stamps each captured unique network identifier. The time stamped unique network identifier is forwarded to a host module. The host module receives the time stamped unique network identifier. In addition, the host module determines travel information from the time stamped unique network identifier by comparing the time stamped unique network identifier for a particular vehicle to other time stamped unique network identifiers captured for the particular vehicle.

Abstract: Embodiments can provide a system to facilitate a network of electric vehicle (EV) charging stations. Information regarding individual EV stations can be gathered and stored in one or more databases. Such information may be used to facilitate routing and/or scheduling of individual EV charging to the EV charging stations. A request may be received over a network to charge an EV. In response to receiving the request, one or more charging stations in the network may be determined as being available for charging the EV. Information regarding the one or more charging stations may be “pushed” to the EV and/or a client computing device associated with the EV for selection. A selection of a particular EV charging station can be received and the selected EV charging station can be accordingly reserved for charging the EV.