Abstract: Methods and systems to improve the accuracy of traffic signal state change predictions are disclosed. Predictions can be broadcast to vehicle drivers or autonomous systems to improve safety, fuel efficiency and reduce delays. Predictions for fixed-time signals are generated based on their scheduled timing plan and the current clock/time, but these predictions are subject variations, for example, due to traffic signal controller clock drift. Real-time actual, not predicted, data is collected and utilized to correct for these variations. Further, real-time probe data is collected and used to validate correctness of the generated predictions in real time. In one embodiment, GPS data from travelers' devices is utilized to assess validity of the generated predictions, looking particularly at signal stop line crossings relative to predicted green time window. If crossings observed in real time contradict the predicted signal state, the data service providing predictions to users may be suspended.

Abstract: Methods and systems to improve the accuracy of traffic signal state change predictions are disclosed. Predictions can be broadcast to vehicle drivers or autonomous systems to improve safety, fuel efficiency and reduce delays. Predictions for fixed-time signals are generated based on their scheduled timing plan and the current clock/time, but these predictions are subject variations, for example, due to traffic signal controller clock drift. Real-time actual, not predicted, data is collected and utilized to correct for these variations. Further, real-time probe data is collected and used to validate correctness of the generated predictions in real time. In one embodiment, GPS data from travelers' devices is utilized to assess validity of the generated predictions, looking particularly at signal stop line crossings relative to predicted green time window. If crossings observed in real time contradict the predicted signal state, the data service providing predictions to users may be suspended.

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: 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: 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: 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 predicting the state and/or upcoming state changes of a traffic control signal. The traffic control signal may be an upcoming traffic control signal along a route of a motor vehicle. The prediction information may communicated to a prediction display made available to a driver or passenger in such a motor vehicle.