Abstract: Devices, systems, and methods are disclosed for connecting traffic signal control infrastructure, in-service transit vehicles, and back-end computing and service systems, and providing an adaptable user interface, remotely effecting a change on a Portable Electronic Device (PED), verifying location of transit vehicles and tailoring information to the behavior of a transit operator. System determines an “optimal window” for a transit vehicle to travel through a maximum number of consecutive traffic signals during the green vehicular phase. The system determines and sends a recommended speed to traverse the optimal window. In a case where an optimal window is not possible under current circumstances, the system determines and then advises the driver to remain at the current station for a specified dwell time.

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: Devices, systems, and methods are disclosed for connecting traffic signal control infrastructure, in-service transit vehicles, and back-end computing and service systems, and providing an adaptable user interface, remotely effecting a change on a Portable Electronic Device (PED), verifying location of transit vehicles and tailoring information to the behavior of a transit operator. System determines an “optimal window” for a transit vehicle to travel through a maximum number of consecutive traffic signals during the green vehicular phase. The system determines and sends a recommended speed to traverse the optimal window. In a case where an optimal window is not possible under current circumstances, the system determines and then advises the driver to remain at the current station for a specified dwell time.

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: 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.