INRIX, INC. Patent applications |
Patent application number | Title | Published |
20150035666 | PERSONALIZED VEHICLE DRIVING SUGGESTIONS - In many vehicular control contexts, a vehicle may monitor the vehicle input control from a driver to detect warning conditions that entail a warning to the user and/or an automatic mitigating action (e.g., detecting hard braking that causes brake lockup, and automatically activating anti-lock braking). Warning and mitigation techniques may address the instant driving conditions, but may not the user driving behavior that caused the condition (e.g., a driving style of the user that resulted in hard braking, such as excessive speed for current driving conditions). Presented herein are techniques for monitoring the user driving behavior of the user in various driving contexts, and presenting driving suggestions of alternative driving behaviors providing advantages over the current user driving behavior of the user. The presentation of the alternative driving behaviors to the user may facilitate changes in user driving behavior that improve the safety, efficiency, and/or comfort of the driving experience. | 02-05-2015 |
20140309914 | LEARNING ROAD NAVIGATION PATHS BASED ON AGGREGATE DRIVER BEHAVIOR - Techniques are described for generating and using information regarding road traffic in various ways, including by obtaining and analyzing road traffic information regarding actual behavior of drivers of vehicles on a network of roads. Obtained actual driver behavior information may in some situations be analyzed to identify decision point locations at which drivers face choices corresponding to possible alternative routes through the network of roads (e.g., intersections, highway exits and/or entrances, etc.), as well as to track the actual use by drivers of particular paths between particular decision points in order to determine preferred compound links between those decision point locations. The identified and determined information from the analysis may then be used in various manners, including in some situations to assist in determining particular recommended or preferred routes of vehicles through the network of roads based at least in part on actual driver behavior information. | 10-16-2014 |
20140278033 | WINDOW-ORIENTED DISPLAYS FOR TRAVEL USER INTERFACES - Vehicular travel may be facilitated by user interfaces presenting travel information. Such user interfaces often involve visual displays positioned peripherally to a window through which an individual operates the vehicle (e.g., displays mounted in a dash or console) and/or non-visual interfaces (e.g., audio, speech recognition, and manual controls). While presenting visuals on the window obscuring the view of the individual may present safety concerns, peripherally presented visual interfaces that distract the gaze of the individual may raise comparable or greater concerns. Instead, visual user interfaces may be displayed on the window through which the individual operates the vehicle (e.g., a windshield or individual eyewear) to presents visuals representing travel information received from a travel service, such as routing, traffic congestion, highlighting vehicles or routes, and rendering non-visible objects (e.g., obscured traffic control signals). Such user interfaces enable user interaction while allowing the individual to maintain gaze through the window. | 09-18-2014 |
20140278032 | TRAFFIC CAUSALITY - One or more techniques and/or systems for providing congestion information for a road segment presently experiencing traffic congestion and/or likely to experience traffic congestion in the future are provided. In some embodiments, traffic models are configured to determine road segments where traffic congestion is likely to occur, to determine a cause of traffic congestion, and/or to determine the effect of such traffic congestion (e.g., the duration of such traffic congestion, the expected time delays due to such traffic congestion, etc.). Congestion information indicative of the cause of congestion and/or the effect(s) of such traffic congestion, for example, may be provided to a user to explain to the user why the congestion is occurring, to describe one or more road segments to avoid, and/or to explain why a particular route was selected as a preferred route to a destination, for example. | 09-18-2014 |
20140278031 | EVENT-BASED TRAFFIC ROUTING - One or more techniques and/or systems are provided for to creating an avoidance zone spatially proximate a venue, where the avoidance zone is created based upon identifying road segments where increased traffic congestion is expected due to an event at the venue. Information pertaining to the avoidance zone, such as a description of road segments to avoid and/or expected travel delays, may be provided to a route planner configured to develop vehicle routes. In this way, the route planner can take into consideration the impact of events on one or more road segments when planning a route. | 09-18-2014 |
20140149030 | Detecting Unrepresentative Road Traffic Condition Data - 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). | 05-29-2014 |
20140149028 | ASSESSING ROAD TRAFFIC SPEED USING DATA FROM MULTIPLE DATA SOURCES - 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). | 05-29-2014 |
20140085110 | AUTHORIZATION OF SERVICE USING VEHICLE INFORMATION AND/OR USER INFORMATION - Among other things, one or more techniques and/or systems are provided for authorizing an action using vehicle identification information (e.g., supplied by a vehicle) and user identification information (e.g., supplied by a mobile device associated with a user of the vehicle). Such an action may relate to, among other things, refueling the vehicle, parking the vehicle, using a fee-based road segment, and/or other vehicle-centric actions, for example. Moreover, in one embodiment, as part of the authorization, a payment transaction may be initiated by an authorization system configured to authorize the action. | 03-27-2014 |
20140058711 | PREDICTIVE PARKING - Among other things, one or more techniques and/or systems are provided for predicting a state of a parking location (e.g., occupied or vacant). A correlation between modeling variables (e.g., weather, proximity to a location, a calendar of events, sensor data, etc.) and a possible state of the parking location may be modeled. The state of a parking location may then be predicted using the model and current values for one or more variables (e.g., used to develop the model). In one embodiment, representations of one or more parking locations may be displayed on a map and may be marked with indicators (e.g., colors) that indicate a likelihood of the respective parking locations having parking availability, or the number of parking spots that are available (e.g., where a parking location may be a parking garage having multiple parking spots), (e.g., yellow indicating low parking availability, green indicating substantial parking availability). | 02-27-2014 |
20130268187 | PARKING BASED ROUTE NAVIGATION - Among other things, one or more techniques and/or systems for parking based route navigation and/or parking resource management are disclosed to facilitate navigation to parking spots associated with a destination and/or management of respective parking spots. Navigation may be provided to a parking spot based upon parking criteria (e.g., such as distance to a destination and/or costs associated with the parking spot). Additionally, navigation (e.g., instructions, alternate transport, such as public transit) from the parking spot to the destination may be provided. Parking spots may be reserved by a parking management system based upon reservations received through a parking based route navigation system. Travelers may be re-routed based upon parking factors (e.g., traffic around a parking location, parking density, etc.). Accordingly, travelers may be routed to a destination in a more efficient manner and/or a management system may price and/or allocate parking spots in a desired manner. | 10-10-2013 |
20130265174 | PARKING RESOURCE MANAGEMENT - Among other things, one or more techniques and/or systems for parking based route navigation and/or parking resource management are disclosed to facilitate navigation to parking spots associated with a destination and/or management of respective parking spots. Navigation may be provided to a parking spot based upon parking criteria (e.g., such as distance to a destination and/or costs associated with the parking spot). Additionally, navigation (e.g., instructions, alternate transport, such as public transit) from the parking spot to the destination may be provided. Parking spots may be reserved by a parking management system based upon reservations received through a parking based route navigation system. Travelers may be re-routed based upon parking factors (e.g., traffic around a parking location, parking density, etc.). Accordingly, travelers may be routed to a destination in a more efficient manner and/or a management system may price and/or allocate parking spots in a desired manner. | 10-10-2013 |
20130226915 | ORGANIZATION OF SEARCH RESULTS BASED UPON AVAILABILITY OF RESPECTIVE PROVIDERS COMPRISED THEREIN - One or more techniques and/or systems are provided for providing search results for presentation as a function of the availability of respective providers comprised in the search results. For example, a user may perform a search for local groceries stores and stores within a 5 miles geographic radius of the user may be identified and filtered/distinguished as a function of the availability of respective stores. Such availability may be a function of whether respective stores are open or closed at the time of the search, whether respective stores are expected to be open or closed at an estimated time of arrival (e.g., based upon travel time from the user's location at the time of the search to respective stores), and/or parking considerations (e.g., parking availability, type of parking, and/or parking cost) at respective stores. | 08-29-2013 |
20130226443 | FUEL CONSUMPTION CALCULATIONS AND WARNINGS - One or more techniques and/or systems are provided for determining whether a vehicle comprises a sufficient amount of fuel to reach a destination. Making such a determination may comprise, among other things, estimating an amount of fuel required to reach the destination and/or estimating a rate of consumption along a travel route. Such estimates may be based upon factors external to the vehicle, including, among other things, topology of the travel route, current and/or predicted traffic patterns along the travel route, and/or driving habits of a user or others whom have navigated a similar route (or at least a portion of the route). When it is determined that the vehicle comprises an insufficient amount of fuel, a refueling notice indicative of the determination may be provided. In one embodiment, such a refueling may also suggest possible refueling stations along the travel route. | 08-29-2013 |
20130132434 | USER-ASSISTED IDENTIFICATION OF LOCATION CONDITIONS - Location-based devices (e.g., GPS receivers) may be used to identify and track traffic conditions. However, such scenarios are difficult to extend to the identification of relevant facts other than traffic, such as road or weather conditions (e.g., debris, animals, or ice). Presented herein are techniques for receiving and aggregating reports of location-based conditions received from users, either spontaneously (“I just witnessed an accident”) or in response to a query (e.g., “did you encounter road ice one kilometer ago?”) From such reports, location conditions of respective locations may be automatically extracted (e.g., using natural-language parsing techniques), and users in the vicinity of or routing through a particular location may be automatically notified of location conditions (e.g., “ice reported one kilometer ahead”). Such systems may also communicate with users in a voice-only interface while the user is operating a vehicle, and may additionally receive and utilize vehicle telemetry to determine location conditions. | 05-23-2013 |
20120150425 | DETERMINING ROAD TRAFFIC CONDITIONS USING MULTIPLE DATA SAMPLES - 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). | 06-14-2012 |
20120136561 | DYNAMIC TIME SERIES PREDICTION OF TRAFFIC CONDITIONS - Techniques are described for generating predictions of future traffic conditions at multiple future times, such as by using probabilistic techniques to assess various input data while repeatedly producing future time series predictions for each of numerous road segments (e.g., in a real-time manner based on changing current conditions for a network of roads in a given geographic area). In some situations, one or more predictive Bayesian models and corresponding decision trees are automatically created for use in generating the future traffic condition predictions for each geographic area of interest, such as based on observed historical traffic conditions for those geographic areas. Predicted future traffic condition information may then be used in a variety of ways to assist in travel and for other purposes, such as to plan optimal routes through a network of roads based on predictions about traffic conditions for the roads at multiple future times. | 05-31-2012 |
20110288756 | FILTERING ROAD TRAFFIC CONDITION DATA OBTAINED FROM MOBILE DATA SOURCES - 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, as well as in some situations data from one or more other sources (such as physical sensors near to or embedded in the roads). The assessment of road traffic conditions 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 from the data samples. In some situations, the filtering of the data samples includes identifying data samples that are inaccurate or otherwise unrepresentative of actual traffic condition characteristics, such as data samples that are not of interest based at least in part on roads with which the data samples are associated and/or that otherwise reflect vehicle locations or activities that are not of interest. | 11-24-2011 |
20110202266 | REPRESENTATIVE ROAD TRAFFIC FLOW INFORMATION BASED ON HISTORICAL DATA - Techniques are described for automatically analyzing historical information about road traffic flow in order to generate representative information regarding current or future road traffic flow, and for using such generated representative traffic flow information. Representative traffic flow information may be generated for a variety of types of useful measures of traffic flow, such as for average speed at each of multiple road locations during each of multiple time periods. Generated representative traffic flow information may be used in various ways to assist in travel and for other purposes, such as to determine likely travel times and plan optimal routes. The historical traffic data used to generate the representative traffic flow information may include data readings from physical sensors that are near or embedded in the roads, and/or data samples from vehicles and other mobile data sources traveling on the roads. | 08-18-2011 |
20110173015 | DETERMINING ROAD TRAFFIC CONDITIONS USING DATA FROM MULTIPLE DATA SOURCES - 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). | 07-14-2011 |
20110137545 | OBTAINING ROAD TRAFFIC CONDITION DATA FROM MOBILE DATA SOURCES - 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, as well as in some situations data from one or more other sources (such as physical sensors near to or embedded in the roads). The assessment of road traffic conditions 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, at least some of the mobile data sources are configured to frequently acquire and store data samples, and to occasionally make multiple such data samples available together for use in the road traffic condition assessment (e.g., by acquiring a data sample every minute and by transmitting a group of stored data samples every 15 minutes). | 06-09-2011 |
20110112747 | DETECTING ANOMALOUS ROAD TRAFFIC CONDITIONS - Techniques are described for automatically detecting anomalous road traffic conditions and for providing information about the detected anomalies, such as for use in facilitating travel on roads of interest. Anomalous road traffic conditions may be identified using target traffic conditions for a particular road segment at a particular selected time, such as target traffic conditions that reflect actual traffic conditions for a current or past selected time, and/or target traffic conditions that reflect predicted future traffic conditions for a future selected time. Target traffic conditions may be compared to distinct expected road traffic conditions for a road segment at a selected time, with the expected conditions reflecting road traffic conditions that are typical or normal for the road segment at the selected time. Anomalous conditions may be identified based on sufficiently large differences from the expected conditions, and information about the anomalous conditions may be provided in various ways. | 05-12-2011 |
20110082636 | DYNAMIC TIME SERIES PREDICTION OF FUTURE TRAFFIC CONDITIONS - Techniques are described for generating predictions of future traffic conditions at multiple future times, such as by using probabilistic techniques to assess various input data while repeatedly producing future time series predictions for each of numerous road segments (e.g., in a real-time manner based on changing current conditions for a network of roads in a given geographic area). In some situations, one or more predictive Bayesian models and corresponding decision trees are automatically created for use in generating the future traffic condition predictions for each geographic area of interest, such as based on observed historical traffic conditions for those geographic areas. Predicted future traffic condition information may then be used in a variety of ways to assist in travel and for other purposes, such as to plan optimal routes through a network of roads based on predictions about traffic conditions for the roads at multiple future times. | 04-07-2011 |
20110035141 | DISPLAYING ROAD TRAFFIC CONDITION INFORMATION AND USER CONTROLS - Techniques are described for displaying or otherwise providing information to users regarding various types of road traffic condition information in various ways. The information may be provided, for example, as part of a user interface (or “UI”), which may in some situations further include one or more types of user-selectable controls to allow a user to manipulate in various ways what road traffic condition information is displayed and/or how the information is displayed. A variety of types of road traffic condition information may be presented to users in various manners, including by presenting information on graphically displayed maps for geographic areas to indicate various information about road conditions in the geographic area. In addition, provided controls may allow users to select particular times, select particular routes, indicate to perform animation of various types of changing traffic conditions over a sequence of multiple successive times, etc. | 02-10-2011 |
20110029224 | ASSESSING ROAD TRAFFIC FLOW CONDITIONS USING DATA OBTAINED FROM MOBILE DATA SOURCES - 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, as well as in some situations data from one or more other sources (such as physical sensors near to or embedded in the roads). The assessment of road traffic conditions 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 from the data samples. In some situations, the inferences based on the data samples includes repeatedly determining traffic flow characteristics for road segments of interest during periods of time, such as to determine traffic volume and/or average occupancy of the road. | 02-03-2011 |
20100185382 | DISPLAYING ROAD TRAFFIC CONDITION INFORMATION AND USER CONTROLS - Techniques are described for displaying or otherwise providing information to users regarding various types of road traffic condition information in various ways. The information may be provided, for example, as part of a user interface (or “UI”), which may in some situations further include one or more types of user-selectable controls to allow a user to manipulate in various ways what road traffic condition information is displayed and/or how the information is displayed. A variety of types of road traffic condition information may be presented to users in various manners, including by presenting information on graphically displayed maps for geographic areas to indicate various information about road conditions in the geographic area. In addition, provided controls may allow users to select particular times, select particular routes, indicate to perform animation of various types of changing traffic conditions over a sequence of multiple successive times, etc. | 07-22-2010 |