A system includes a sensor network comprising at least two optical fibers coupled to a pavement. Each optical fiber includes one or more optical sensors installed a predetermined distance from one or more adjacent optical fibers. The one or more optical sensors are configured to produce a wavelength shift signal. A processor is configured to determine one or both of one or more attributes of one or more objects travelling on the pavement and a traffic condition of the pavement based on the wavelength shift signal. A transmitter is configured to transmit the one or more attributes to a predetermined location.

A sensor network comprises at least one lateral optical fiber and at least one longitudinal optical fiber. The lateral fiber comprises optical sensors coupled to a pavement in a transverse orientation relative to a direction of vehicle travel along the pavement. The longitudinal fiber comprises optical sensors coupled to the pavement in a longitudinal orientation relative to the direction of vehicle travel. The optical sensors are configured to produce wavelength shift signals comprising one or more lateral strain signals associated with the lateral fiber and one or more tangential strain signals associated with the longitudinal fiber. A processor is operatively coupled to the sensor network and configured to determine a weight of vehicles moving along the pavement based on the lateral and tangential strain signals. A transmitter is operatively coupled to the processor and configured to transmit the weight of vehicles to a predetermined location.

A transit system includes a road, a plurality of pavement markers spaced apart along a lane line of the road, and a plurality of RF devices carried by the pavement markers. The RF devices are configured to transmit RF navigation signals to motor vehicles traveling along the road.

Techniques enable selection of traffic cameras for display to a user, where the techniques involve determining a primary route and an alternate route, determining a first intersection between the primary route and the alternate route, and obtaining camera metadata identifying multiple cameras, where the camera metadata defines aspects such as positioning data, direction, status data, and image data for individual traffic cameras. The techniques also involve determining a priority score for individual cameras using the camera metadata, where the priority score is based, at least in part, on proximity to the first intersection between the primary route and the alternate route. The techniques then involve selecting at least one traffic camera based on the priority score of the camera and communicating image data of the camera for display on a display device.

Techniques enable selection of traffic cameras for display to a user, where the techniques involve determining a primary route and an alternate route, determining a first intersection between the primary route and the alternate route, and obtaining camera metadata identifying multiple cameras, where the camera metadata defines aspects such as positioning data, direction, status data, and image data for individual traffic cameras. The techniques also involve determining a priority score for individual cameras using the camera metadata, where the priority score is based, at least in part, on proximity to the first intersection between the primary route and the alternate route. The techniques then involve selecting at least one traffic camera based on the priority score of the camera and communicating image data of the camera for display on a display device.

A traffic monitoring apparatus includes: at least one memory storing instructions; and at least one processor. The processor is configured to execute the instructions to; acquire waterfall data from a distributed acoustic sensor (DAS), wherein the waterfall data includes a generation position of a vibration on a roadway adjacent to the DAS, a generation time of the vibration and an amplitude of the vibration; preprocess the waterfall data; estimate at least one enhancement of the processed waterfall data, wherein an enhancement corresponds to a traffic flow property; and estimate at least one traffic flow property of the roadway from the enhancements of the processed waterfall data.

A system and a method for automatically tracking location of a vehicle by receiving a plurality of feature vectors transmitted from a plurality of stationary sensors installed along a road. The feature vectors are related to a plurality of vehicles which are in a range of detection of the plurality of the stationary sensors. The method may include clustering a group of feature vectors from the plurality of feature vectors to a monitored vehicle based on a predetermined driving model, determining parameters of the monitored vehicle, calculating a next expected location of the monitored vehicle, receiving a feature vector, matching the feature vector to the monitored vehicle and tracking a trajectory of the monitored vehicle.

Disclosed are methods and systems for improving the safety of an intersection. One or more sensor readings can be received. The one or more sensor readings can be compared to one or more thresholds. A signal can be provided to one or more lighting devices based on whether the one or more sensor readings satisfy the one or more thresholds.

Telematics data, including geolocation data, may be collected, monitored, measured, and/or generated by one or more processors communicatively coupled with memory and associated with a mobile, machine, and/or vehicle device. Telematics data may also be collected from one or more external vendors. Geolocation data pertaining to the mobile, machine and/or vehicle device may be analyzed to derive valuable information on the presence, dwell times, and movements of human beings. For example, a rate of human beings, such as, e.g., the cars in which they are driving or riding, traversing an area at specific times of day and days of the week can be inferred. In some cases, this information may also be used to plan and adapt highway systems, construction plans, and business plans. Significant reductions in vehicle emissions can be achieved, congestion can be limited, safety can be enhanced, and travel times reduced by helping commuters and other drivers choose uncongested routes to their destinations.

An approach is provided for estimating lane pavement conditions based on street parking events. For example, the approach involves map-matching a vehicle park-in event, a vehicle park-out event, or a combination thereof to a lane of a road segment. The approach also involves calculating an adjusted pavement condition of the lane based on the map matched park-in event, the map-matched park-out event, or a combination thereof, wherein the adjusted pavement condition accounts for a reduction of a weather effect on a pavement condition of the lane caused by one or more vehicles parking in the lane. The approach further involves providing the adjusted pavement condition of the lane as an output.