Transit Sensor Platforms
The availability of traffic flow data on urban roads, as presently collected, is limited due to the sparse number of sensors over the spatially extensive network. Transit Lab team describes a prototype implementation of a sensor and data analysis system that could be deployed on transit or municipalvehicles to collect traffic flow data. It consists of a data collection vehicle with positioning sensors (GPS, IMU, and OEM vehicle state sensors) as well as multiple ranging sensors to monitor the ambient traffic (vertical LiDAR). The system is capable of detecting vehicles over multiple lanes, estimating their velocities, and providing geometric information used for vehicle classification. The data collection vehicle also has several video cameras to collect validation data. The sensor data are presently analyzed offline, after collection.In addition, this system could be used to extract additional information for other applications, for example parking utilization, pedestrian counts, and counting the number of passengers waiting at a bus stop. This system has been tested in and around The Ohio State University campus for more than a year. In addition to inferring traffic conditions from the identified vehicles, another possible application of this technology is the measurement of queues and turning movements.