Abstract:
A fleet of vehicles (“connected vehicles”) are equipped to wirelessly transmit data in real time, the data including at least an identifier of the vehicle, a GPS location, and a timestamp. Preferably, messages may be sent from the vehicles approximately once per second. This “probe data” from operating vehicles is analyzed to assemble vehicle operation data over a collection period of say, a few weeks. The data is analyzed for a specific signalized intersection. In an embodiment, a preferred process is to leverage the connected vehicle probe data to figure out the traffic volume for a target time period and location, and then optimize the corresponding timing plan for that time period for the subject signal/lane/phase. Target time periods may be on the order of 15 minutes, 30 minutes or an hour, although the exact time period is not critical.
Abstract:
Methods and systems are disclosed for generating a timely and reliable warning message before a traffic control signal changes to a red light state. A preferred process leverages traffic signal state data, state change predictions, and signal timing plans. The warning message may be distributed for various uses by downstream users and applications.
Abstract:
Computer-implemented predictions of upcoming traffic control signal states or state changes can be used to improve driver convenience, safety, and fuel economy. Such information can be used advantageously by a human operator, or by an autonomous or semi-autonomous vehicle control system. Predictions can be computed with suitable machines installed in a vehicle, in cooperation with a remote back-end server system. The prediction computations in the vehicle may be supported by data communicated to the vehicle computing machinery over various wireless communications, including telecom systems, DSRC, etc.
Abstract:
Methods and systems are disclosed for generating a timely and reliable warning message before a traffic control signal changes to a red light state. A preferred process leverages traffic signal state data, state change predictions, and signal timing plans. The warning message may be distributed for various uses by downstream users and applications.
Abstract:
Traffic signal timing plans are derived from vehicle trajectory or probe data. The probe data is collected and archived in a datastore over a sample time on the order of weeks or longer. Probe data is corrected for clock drift, geo-fence filtered to a selected intersection, and then stop line crossings in the intersection are identified and analyzed along with related data to determine the timing plans and schedule for the intersection. In this way, access to government agency timing plans is obviated so as to save time and expense.
Abstract:
A method includes performing by a processor: receiving a plurality of power system synchrophasor measurements over a time interval from a plurality of phasor measurement units (PMUs) in a power system, determining a variation in frequency of a power signal generated by the power system based on the plurality of power system synchrophasor measurements, and determining a clock time shift based on the variation in frequency of the power signal.
Abstract:
At a roadway intersection controlled by an electronic traffic signal controller system, a potentially dangerous “dilemma zone” problem arises where a driver must quickly decide whether to stop or continue through the intersection. The problem is mitigated by leveraging data provided by an approaching vehicle itself as the source of detection. Based on the vehicle data itself, an “artificial detection” message is sent to the traffic signal controller to attempt to extend the green time, and thus permit a subject vehicle to safely pass through the intersection.
Abstract:
Methods and systems are disclosed for generating a timely and reliable warning message before a traffic control signal changes to a red light state. A preferred process leverages traffic signal state data, state change predictions, and signal timing plans. The warning message may be distributed for various uses by downstream users and applications.
Abstract:
Computer-implemented predictions of upcoming traffic control signal states or state changes can be used to improve driver convenience, safety, and fuel economy. Such information can be used advantageously by a human operator, or by an autonomous or semi-autonomous vehicle control system. Predictions can be computed with suitable machines installed in a vehicle, in cooperation with a remote back-end server system. The prediction computations in the vehicle may be supported by data communicated to the vehicle computing machinery over various wireless communications, including telecom systems, DSRC, etc.
Abstract:
Methods and systems are disclosed for generating a timely and reliable warning message before a traffic control signal changes to a red light state. A preferred process leverages traffic signal state data, state change predictions, and signal timing plans. The warning message may be distributed for various uses by downstream users and applications.