8034results about "Analogue computers for vehicles" patented technology

A system of mobile units are installed in multiple vehicles in traffic. These mobile units include both wireless communications devices and apparatus that determines the location of each vehicle. Monitoring a vehicle's position as a function of time also reveals the velocity of the vehicle. Position and speed information is periodically broadcast by the vehicles to a central monitoring station and to neighboring vehicles. At the central monitoring station, the collective input of a set of vehicles is processed to provide an instant chart of traffic conditions in the area. Warnings of delays or updates on traffic conditions on the road ahead are then automatically returned to subscribers of the information or are used as part of an Intelligent Vehicle Highway System (IVHS). Neighboring vehicles within a region communicating with one another form a network in which the broadcast information is processed locally on the respective vehicles to estimate possible problems ahead and consider computing an alternate road and / or checking with the central monitoring station for more information. If out of range of the central monitoring station, the vehicles in the network form a local area network for the exchange and update of information, and when any vehicle in the network is within range of the central monitoring station, the local area network data is uploaded to help update the overall traffic information.

A system for instantaneously monitoring traffic congestion including a plurality of monitoring electronic devices located in motor vehicles traveling on roadways in a selected region. Each monitoring electronic device is coupled to a GPS receiver that provides physical location to a wireless modem capable of connecting to a wireless communication network. The system also includes a central computer connected to a wide area network that is able of continuously downloading physical location information from a plurality of monitoring electronic devices also connected to the wide area network. The central computer uses a traffic monitoring software program and a mapping database containing roadway information for a region and the movement information from the monitoring electronic devices to create a continuously updated traffic congestion database. Authorized users of the system are able to log onto the central computer to a portion of the database that contains specific traffic flow and congestion information. Using the system, users are also able to obtain estimated times of arrival for a specific trip, and recommendations on alternative route information. The system can also take into consideration current or anticipated events that may affect traffic congestion.

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.

An expert system manages a power grid wherein charging stations are connected to the power grid, with electric vehicles connected to the charging stations, whereby the expert system selectively backfills power from connected electric vehicles to the power grid through a grid tie inverter (if present) within the charging stations. In more traditional usage, the expert system allows for electric vehicle charging, coupled with user preferences as to charge time, charge cost, and charging station capabilities, without exceeding the power grid capacity at any point. A robust yet accurate state of charge (SOC) calculation method is also presented, whereby initially an open circuit voltage (OCV) based on sampled battery voltages and currents is calculated, and then the SOC is obtained based on a mapping between a previously measured reference OCV (ROCV) and SOC. The OCV-SOC calculation method accommodates likely any battery type with any current profile.

A mobile navigation system implemented as an embedded system in a vehicle is easy to use, does not detract the driver's attention from the road, and limits the number of choices presented to the user of the navigation system according to a predetermined set of preferences or personalized information. Choices are filtered according to a set of driver preferences, according to the vehicle's geographic position, direction of motion, and the driver's intended itinerary. The itinerary, including intermediate stops, is calculated on an external computing system. The information is downloaded from the computing system to a memory device such as, for example, a smart card. The information is then transferred from the smart card to the embedded vehicle navigation system. In one application of the invention, a kiosk located at a car rental agency may be used to create and store personalized navigation information onto a smart card which the customer then inserts into the vehicle navigation system that is installed in the rental car.

An aerial vehicle system for gathering data may comprise a Waypoint Location, wherein the Waypoint Location comprises an arresting cable; a Ground Control Station, wherein the Ground Control Station comprises a charging cable; and an aerial vehicle, wherein the aerial vehicle comprises an onboard battery, a capturing hook and a sensor payload for generating surveillance data. The aerial vehicle may be configured to autonomously travel between the Waypoint Location and the Ground Control Station. The aerial vehicle may be configured to couple with the arresting cable via the capturing hook. The aerial vehicle may be configured to electronically couple with the charging cable via the capturing hook to facilitate charging the aerial vehicle's onboard battery.

The present invention includes a number of embodiments for improving vehicle situational awareness at intersections. A first embodiment may comprise a lens fitted at the top of the windshield or outside the vehicle, for refracting the light to the driver, so the driver may more easily see signals, signage and other features of an intersection, as well as other traffic. A second embodiment of the invention is used as an aid to prompt the driver that a light has changed. In a third embodiment, the light change sensor may be combined with other vehicle status information. As the car comes to a stop, the route guidance system may determine if the vehicle is at or in the vicinity of an intersection. Depending on the route guidance database, the system may also know whether or not there are traffic lights at the intersection. Using the vehicle's on board forward-looking radar sensor, the system may then determine if it is first in line at the intersection. In a fourth embodiment the system may be part of a portable after-market routing device. In a fifth embodiment the system, either portable or fixed, may be used to detect changes in the intensity of the brake lights of the vehicle ahead.