Abstract: Vehicle management systems and associated processes can determine and consider street classifications when selecting routes for fleet vehicles. In one embodiment, a system for calculating routes for a plurality of vehicles in a vehicle fleet includes a computer system. The computer system is configured to receive custom data to classify streets of a network of streets in a geographic region for use in calculating routes. Based at least in part on the received custom data, the computer system can calculate custom routes on the network of streets between waypoint locations. In addition, the computer system can determine a classification for each street of the network of streets based at least in part on the calculated custom routes. The classification can include a score indicative of a hierarchical ranking of each street for calculating routes for the fleet vehicles on the network of streets in the geographic region.

Abstract: Systems and methods are provided for the organization, management, and graphical display of multiple logically related entities. In some embodiments, the systems and methods provide the real-time display of status and location information for a fleet of tracked vehicles. In some embodiments, the systems and methods permit the automatic clustering of assets based on a user's view of an underlying map. In some embodiments, the assets are vehicles that are a part of a managed fleet. In some embodiments, the assets are logically arranged into clusters of like assets. In some embodiments, the clusters provide graphical indications of status or class information of their underlying assets.

Abstract: In one embodiment, a system for presenting fleet vehicle operation information in standardized forms includes a telematics module and a data standardizing module. The telematics module receives measurements related to operation of multiple vehicles in a fleet. The data standardizing module, using a first technique, estimates a first value for a parameter for at least one vehicle of the multiple vehicles based at least on the measurements. Further, the data standardizing module, using a second technique, estimates a second value for the parameter for at least one vehicle of the multiple vehicles based at least on the measurements. The second technique including using some measurement to estimate the second value different from the measurements used to estimate the first value according to the first technique. The data standardizing module outputs one or both of the first value and the second value for presentation to a user.

Abstract: Vehicle management systems and associated processes can consider energy consumption when selecting routes for fleet vehicles. Vehicle management systems and associated processes are described that, in certain embodiments, evaluate vehicle energy usage based on factors such as terrain or elevation, vehicle characteristics, driver characteristics, road conditions, traffic, speed limits, stop time, turn information, traffic information, and weather information, and the like. The features described herein may also be implemented for non-fleet vehicles, such as in personal vehicle navigation systems.

Abstract: Embodiments provide systems and methods that find the quickest route between two locations on a graph with multi-edge constraints in a time and space efficient manner. In some embodiments, Dijkstra's algorithm is split into separate universes when a) a multiple-edge constraint is reached, and b) along each edge of a multi-edge constraint. In some embodiments, the split is performed for the purpose of finding the quickest (i.e. lowest weighted) route to the intersect ion(s) at the end of the constraints. These universes, in some embodiments, are merged or discarded when the intersection at the end of the constraint is found. Using these systems and methods, in some embodiments, the shortest path between two locations of a multi-edge constrained road network can be efficiently determined.

Abstract: The present invention provides a technique for building natural language parsers by implementing a country and/or jurisdiction specific set of training data that is automatically converted during a build phase to a respective predictive model, i.e., an automated country specific natural language parser. The predictive model can be used without the training data to quantify any input address. This model may be included as part of a larger Geographic Information System (GIS) data-set or as a stand alone quantifier. The build phase may also be run on demand and the resultant predictive model kept in temporary storage for immediate use.

Abstract: Currently vehicles typically include an engine computer that outputs diagnostic trouble codes (DTC) that are indicative of some fault condition in a vehicle. DTCs can tell a specific problem with a particular part such as that a cylinder in an engine is misfiring, but do not provide any indication as to the cause of the problem and do not propose any solutions for solving the problem. This disclosure advantageously describes systems that can analyze DTCs and other telematics data using crowdsourcing principles to recommend vehicle maintenance and other solutions.

Abstract: Systems and methods are provided for the organization, management, and graphical display of multiple logically related entities. In some embodiments, the systems and methods provide the real-time display of status and location information for a fleet of tracked vehicles. In some embodiments, the systems and methods permit the automatic clustering of assets based on a user's view of an underlying map. In some embodiments, the assets are vehicles that are a part of a managed fleet. In some embodiments, the assets are logically arranged into clusters of like assets. In some embodiments, the clusters provide graphical indications of status or class information of their underlying assets.

Abstract: Vehicle management systems and associated processes can consider energy consumption when selecting routes for fleet vehicles. Vehicle management systems and associated processes are described that, in certain embodiments, evaluate vehicle energy usage based on factors such as terrain or elevation, vehicle characteristics, driver characteristics, road conditions, traffic, speed limits, stop time, turn information, traffic information, and weather information, and the like. The features described herein may also be implemented for non-fleet vehicles, such as in personal vehicle navigation systems.

Abstract: A route scheduling system for a vehicle or fleet of vehicles can recalculate a scheduled route based on input received after the formulation and/or dispatch of the initial route. The additional inputs can be used for recalculation and changes in route selection, which may include a variety of inputs, such as weather conditions, traffic conditions, customer needs, vehicle inventory, and emergency situations. The recalculation of the routes can allow for route selection to be performed in real-time in order for fleets and vehicles to optimize the allocation of resources.

Abstract: In one embodiment, a system for routing vehicles in a vehicle fleet includes a location assignment module comprising computer hardware and a routing module. The location assignment module can be configured to iteratively: determine whether quotas are met for a plurality of territories based at least on locations assigned to individual territories of the plurality of territories, and in response to determining that the quota is unmet for one or more individual territories, assign one or more additional locations to the one or more individual territories having unmet quotas based at least on a proximity of the one or more additional locations to a different reference location associated with each of the one or more individual territories having unmet quotas. The routing module can be configured to generate routes including the locations assigned to the individual territories for vehicles in a vehicle fleet.

Abstract: Vehicle management systems and associated processes can determine and consider street classifications when selecting routes for fleet vehicles. In one embodiment, a system for calculating routes for a plurality of vehicles in a vehicle fleet includes a computer system. The computer system is configured to receive custom data to classify streets of a network of streets in a geographic region for use in calculating routes. Based at least in part on the received custom data, the computer system can calculate custom routes on the network of streets between waypoint locations. In addition, the computer system can determine a classification for each street of the network of streets based at least in part on the calculated custom routes. The classification can include a score indicative of a hierarchical ranking of each street for calculating routes for the fleet vehicles on the network of streets in the geographic region.

Abstract: A system for analyzing the use of a mobile resource, such as a vehicle, includes a central processing unit adapted to receive a plurality of geographic locations and create an optimal travel route between the geographic locations, and an analyzer device incorporating global positioning satellite (GPS) technology being positionable with a mobile resource for comparing an actual route traveled by the mobile resource with the optimal travel route created by the central processing unit. The central processing unit includes mobile resource management software stored therein adapted to use pre-selected criteria for creating the optimal travel route. The pre-selected criteria may include time, distance, cost, load parameters, territory, and customer requirements.

Abstract: Vehicle management systems and associated processes can incorporate calculations for categorizing locations on a map as within one or more territories based on proximity of the location to predetermined points with in the territories. The systems and processes can also incorporate techniques for estimating total distance required to traverse a route reaching all of a set of predetermined stops, without using a routing algorithm that would provide a usable route for a vehicle, but is less computationally demanding. The systems and processes can also include techniques for incorporating legs of a route that extend through a temporary exclusion zone.

Abstract: Embodiments provide systems and methods that find the quickest route between two locations on a graph with multi-edge constraints in a time and space efficient manner. In some embodiments, Dijkstra's algorithm is split into separate universes when a) a multiple-edge constraint is reached, and b) along each edge of a multi-edge constraint. In some embodiments, the split is performed for the purpose of finding the quickest (i.e. lowest weighted) route to the intersection(s) at the end of the constraints. These universes, in some embodiments, are merged or discarded when the intersection at the end of the constraint is found. Using these systems and methods, in some embodiments, the shortest path between two locations of a multi-edge constrained road network can be efficiently determined.

Abstract: Vehicle management systems and associated processes can monitor the progress of assets, such as vehicle, along predetermined routes and report the progress to user. The system can compare the actual status of the vehicle to the expected status of the vehicle and to report any difference between the actual status and expected status to a user. Further, the system can receive a predetermined threshold value of the difference from a user and report to the user if the predetermined threshold has been exceeded.

Abstract: A vehicle management system can generate a vehicle management user interface that depicts vehicle history information in timelines or graphical timelines. These history timelines can include information regarding vehicle location, speed, and idling, among other useful information. The graphical nature of the history timelines can quickly convey vehicle tracking details and potential problems, such as idling and congregation, to an administrator. Further, history timelines for multiple vehicles can be displayed in parallel, allowing comparison between histories for different vehicles.

Abstract: A system for analyzing the use of a mobile resource, such as a vehicle, includes a central processing unit adapted to receive a plurality of geographic locations and create an optimal travel route between the geographic locations, and an analyzer device incorporating global positioning satellite (GPS) technology being positionable with a mobile resource for comparing an actual route traveled by the mobile resource with the optimal travel route created by the central processing unit. The central processing unit includes mobile resource management software stored therein adapted to use pre-selected criteria for creating the optimal travel route. The pre-selected criteria may include time, distance, cost, load parameters, territory, and customer requirements.

Abstract: Vehicle management systems and associated processes can consider energy consumption when selecting routes for fleet vehicles. Vehicle management systems and associated processes are described that, in certain embodiments, evaluate vehicle energy usage based on factors such as terrain or elevation, vehicle characteristics, driver characteristics, road conditions, traffic, speed limits, stop time, turn information, traffic information, and weather information, and the like. The features described herein may also be implemented for non-fleet vehicles, such as in personal vehicle navigation systems.

Abstract: A vehicle management system can generate a vehicle management user interface that depicts vehicle history information in timelines or graphical timelines. These history timelines can include information regarding vehicle location, speed, and idling, among other useful information. The graphical nature of the history timelines can quickly convey vehicle tracking details and potential problems, such as idling and congregation, to an administrator. Further, history timelines for multiple vehicles can be displayed in parallel, allowing comparison between histories for different vehicles.