A database of high risk locations is formed and high risk causal factors for the high risk locations determined. Driver behavior is monitored at the sites in the database using data collection devices such as electronic logging devices or mobile phones to see if the drivers exhibit the same specific behaviors that are considered contributing factors to specific accident types at risk of occurrence at those sites. Warnings are provided to drivers approaching the specific sites to prompt behavioral changes which may further be monitored by the data collection devices.

A database of high risk locations is formed and high risk causal factors for the high risk locations determined. Driver behavior is monitored at the sites in the database using data collection devices such as electronic logging devices or mobile phones to see if the drivers exhibit the same specific behaviors that are considered contributing factors to specific accident types at risk of occurrence at those sites. Warnings are provided to drivers approaching the specific sites to prompt behavioral changes which may further be monitored by the data collection devices.

In an example, a method determines a first controllable vehicle traveling along a mitigation road segment of a roadway and determines a control lane in the mitigation road segment. The control lane includes the first controllable vehicle and is impedible by the first controllable vehicle. The method determines a first open lane in the mitigation road segment and applies a target mitigation speed to the first controllable vehicle in the control lane. The first open lane is adjacent to the control lane in the mitigation road segment and the target mitigation speed is based on a traffic state of the first open lane. The target mitigation speed adjusts a traffic stream that flows through the first open lane to mitigate traffic congestion located downstream of the mitigation road segment.

In an example, a method determines a first controllable vehicle traveling along a mitigation road segment of a roadway and determines a control lane in the mitigation road segment. The control lane includes the first controllable vehicle and is impedible by the first controllable vehicle. The method determines a first open lane in the mitigation road segment and applies a target mitigation speed to the first controllable vehicle in the control lane. The first open lane is adjacent to the control lane in the mitigation road segment and the target mitigation speed is based on a traffic state of the first open lane. The target mitigation speed adjusts a traffic stream that flows through the first open lane to mitigate traffic congestion located downstream of the mitigation road segment.

A system and method for optimizing optical communication for autonomous vehicles, including: determining a predetermined route of a vehicle equipped with an optical communication device (OCD) including an array of micromirrors; determining a location of at least one infrastructure unit along the predetermined route; determining optimal angles for the array of micromirrors based on the predetermined route and the determined location of the at least one infrastructure unit to optimize optical communication between the OCD and the at least one infrastructure unit; and adjusting the array of micromirrors based on the determined optimal angles.

A system and method for optimizing optical communication for autonomous vehicles, including: determining a predetermined route of a vehicle equipped with an optical communication device (OCD) including an array of micromirrors; determining a location of at least one infrastructure unit along the predetermined route; determining optimal angles for the array of micromirrors based on the predetermined route and the determined location of the at least one infrastructure unit to optimize optical communication between the OCD and the at least one infrastructure unit; and adjusting the array of micromirrors based on the determined optimal angles.

Aspects of traffic warning and data capture are discussed. An indication of an approaching vehicle and an ambient light level are received by a device associated with a signboard. Based on the indication and the ambient light level, an alert is provided to a driver of the approaching vehicle. For providing the alert, a first illumination panel positioned to direct light onto a face of signboard is lighted. In various embodiments, lights in different colors are flashed for alerting a driver of the approaching vehicle of different hazardous driving conditions, wherein the lights of different colors are flashed at different instances and in one more directions. Further, the device can record and store or share traffic and pedestrian movement information for further analysis.

Techniques for using vehicle telematics data for high speed determination of intersection traversals are provided. Telematics data from a vehicle trip may be obtained and compared to an area associated with an intersection to attempt to isolate telematics data points that are within the intersection. A simplified line generated based on the isolated telematics data points is then compared to vector lines representing entrances and exits of the intersection to attempt to identify an intersection entrance and exit from the vehicle trip. The simplified line is then compared to an average simplified line representing trips of other vehicles through the same entrance and exit of the same intersection to determine whether the vehicle turned through the intersection. If it is determined that the vehicle turned through the intersection, the telematics data associated with the vehicle trip may be compared to telematics data associated with other vehicle trips through the intersection.

Techniques for using vehicle telematics data for high speed determination of intersection traversals are provided. Telematics data from a vehicle trip may be obtained and compared to an area associated with an intersection to attempt to isolate telematics data points that are within the intersection. A simplified line generated based on the isolated telematics data points is then compared to vector lines representing entrances and exits of the intersection to attempt to identify an intersection entrance and exit from the vehicle trip. The simplified line is then compared to an average simplified line representing trips of other vehicles through the same entrance and exit of the same intersection to determine whether the vehicle turned through the intersection. If it is determined that the vehicle turned through the intersection, the telematics data associated with the vehicle trip may be compared to telematics data associated with other vehicle trips through the intersection.

A roadway condition monitoring system is configured to receive sensed data that is acquired by sensors that are mounted on vehicles that operate on a roadway. The sensed data includes values of parameters that characterize a roadway condition, including a pattern of travel of the vehicles along the roadway or a mapping of the roadway. A current roadway condition is calculated from the sensed data that is received during a current trip of the vehicles on a segment of the roadway, and the current roadway condition is compared with a nominal roadway condition. The calculation of the nominal roadway condition utilizes the sensed data that is received from the sensors during a plurality of trips of the vehicles on the segment. When an anomaly is detected in which the current roadway condition deviates from the nominal roadway condition, a notification of the detected anomaly is issued.