Abstract: A storage architecture and associated usage techniques are described for providing efficient modification and use of access rights for stored data. The access rights may be associated with data stored on blockchain storage, and a separate ledger storage system may be used to provide improvements for modifying access rights for such stored data. For example, groups of data may be created and stored on blockchain storage before access to the stored data groups is made available to end users, and additional information related to those stored data groups (e.g., about their access rights) may be stored in a separate ledger storage system. When a particular user later requests access rights for one of those previously stored data groups, corresponding modifications may be quickly made to the separate ledger storage system to provide the user with substantially immediate access to that stored data group.

Abstract: Techniques are described for using information regarding road traffic and other types of transportation-related information to determine and/or assess alternative inter-modal passenger travel options in a geographic area that supports multiple modes of transportation. For example, a particular user may have multiple alternatives for travel from a starting location to a destination location in the geographic area, including to use alternative modes of transportation (e.g., private vehicle, bus, train, walking, etc.) for some or all of the travel, and these alternatives may have different travel-related characteristics in different situations (e.g., depending on current road traffic; mass transit schedules and current actual deviations; travel-related fees for gas, parking, mass transit, etc; parking availability; etc.).

Abstract: Techniques are described for using information regarding road traffic and other types of transportation-related information to determine and/or assess alternative inter-modal passenger travel options in a geographic area that supports multiple modes of transportation. For example, a particular user may have multiple alternatives for travel from a starting location to a destination location in the geographic area, including to use alternative modes of transportation (e.g., private vehicle, bus, train, walking, etc.) for some or all of the travel, and these alternatives may have different travel-related characteristics in different situations (e.g., depending on current road traffic; mass transit schedules and current actual deviations; travel-related fees for gas, parking, mass transit, etc; parking availability; etc.).

Abstract: Techniques are described for using information regarding road traffic and other types of transportation-related information to determine and/or assess alternative inter-modal passenger travel options in a geographic area that supports multiple modes of transportation. For example, a particular user may have multiple alternatives for travel from a starting location to a destination location in the geographic area, including to use alternative modes of transportation (e.g., private vehicle, bus, train, walking, etc.) for some or all of the travel, and these alternatives may have different travel-related characteristics in different situations (e.g., depending on current road traffic; mass transit schedules and current actual deviations; travel-related fees for gas, parking, mass transit, etc; parking availability; etc.).

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: 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: 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: 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: 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.

Abstract: 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.

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: 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: 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: 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.

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: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

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).