Systems and methods for managing speed thresholds for a fleet of vehicles are disclosed. Input is used to provide associations between particular weather-relation conditions (such as rain) and arithmetic operations, that may be used to determine a current speed threshold as a function of a local posted speed limit at the current location of a vehicle. The current speed threshold is subsequently used to detect whether vehicles are exceeding the current speed threshold.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for monitoring a dedicated roadway the runs in parallel to a railroad. In some implementations, a system includes a central server, an interface, and sensors. The interface receives data from a railroad system that manages the railroad parallel to the dedicated roadway. The sensors are positioned in a fixed location relative to the dedicated roadway. Each sensor can detect vehicles in a first field of view on the dedicated roadway. For each detected vehicle, each sensor can generate sensor data based on the detected vehicle in the dedicated roadway and the data received at the interface. Each sensor can generate observational data and instruct the detected vehicle to switch to an enhanced processing mode. Each sensor can determine an action for the detected vehicle to take based on the generated observational data.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for monitoring a dedicated roadway the runs in parallel to a railroad. In some implementations, a system includes a central server, an interface, and sensors. The interface receives data from a railroad system that manages the railroad parallel to the dedicated roadway. The sensors are positioned in a fixed location relative to the dedicated roadway. Each sensor can detect vehicles in a first field of view on the dedicated roadway. For each detected vehicle, each sensor can generate sensor data based on the detected vehicle in the dedicated roadway and the data received at the interface. Each sensor can generate observational data and instruct the detected vehicle to switch to an enhanced processing mode. Each sensor can determine an action for the detected vehicle to take based on the generated observational data.

An apparatus for predicting traffic information includes a storage storing a traffic information prediction model, and a controller configured to calculate a congestion transfer rate W.sub.AB of a target section based on a volume of traffic and vehicle density and input the congestion transfer rate, a speed of the target section, a speed of a section in front of the target section, and a speed of a section behind the target section to the traffic information prediction model to estimate traffic information of the target section.

An apparatus for predicting traffic information includes a storage storing a traffic information prediction model, and a controller configured to calculate a congestion transfer rate W.sub.AB of a target section based on a volume of traffic and vehicle density and input the congestion transfer rate, a speed of the target section, a speed of a section in front of the target section, and a speed of a section behind the target section to the traffic information prediction model to estimate traffic information of the target section.

In some implementations, a system may receive a cable map for a deployed cable. The system may receive vibration data indicating a vibration associated with a first section of the cable. The system may determine a characteristic associated with the first section of the cable based on the vibration. The system may determine a location associated with the characteristic based on the cable map. The system may determine that the first section of the cable is associated with the location based on the location being associated with the characteristic. The system may associate the location and a length of a second section of the cable extending from an initial location to the location. The system may receive an input identifying the length of the second section of the cable and may output the location based on associating the location and the length of the second section of the cable.

A traffic detection device for sending a call signal to a traffic signal controller, the traffic detection device having a receiver to receive information sent from a mobile device, the information including identity information and/or location information of the mobile device, a traffic control device (TCD) interface to connect the traffic detection device to the traffic signal controller, and a processor to define a dynamic approach based on one or more of the identity information, speed limit, time of day, or speed of the mobile device. The device may determine whether to send a calf signal to the traffic signal controller via the TCD interface to prompt the traffic signal controller, when the processor determines that the mobile device is in the dynamic approach.

A traffic detection device for sending a call signal to a traffic signal controller, the traffic detection device having a receiver to receive information sent from a mobile device, the information including identity information and/or location information of the mobile device, a traffic control device (TCD) interface to connect the traffic detection device to the traffic signal controller, and a processor to define a dynamic approach based on one or more of the identity information, speed limit, time of day, or speed of the mobile device. The device may determine whether to send a calf signal to the traffic signal controller via the TCD interface to prompt the traffic signal controller, when the processor determines that the mobile device is in the dynamic approach.

A method, apparatus and computer program product are provided to estimate a road segment traffic tendency determination value. A current traffic speed pattern data object may be generated for an initial location of a vehicle and a future traffic speed pattern data object may be generated for an estimated downstream location of the vehicle. A road segment traffic tendency determination value may then be estimated based at least in part on the current traffic speed pattern data object and the future traffic speed pattern data object. A road segment traffic tendency notification may be provided to the vehicle.

A method, apparatus and computer program product are provided to estimate a road segment traffic tendency determination value. A current traffic speed pattern data object may be generated for an initial location of a vehicle and a future traffic speed pattern data object may be generated for an estimated downstream location of the vehicle. A road segment traffic tendency determination value may then be estimated based at least in part on the current traffic speed pattern data object and the future traffic speed pattern data object. A road segment traffic tendency notification may be provided to the vehicle.