Classification & Data Collection

A smart bus parking system has been implemented by local company Eaglevision at the Woodlands Temporary Bus Interchange in Singapore, utilising the Sensit smart parking platform developed Dutch parking technology company Nedap. Sensit IR sensors and Sensit Flush Mount sensors, which detect the vehicle occupancy status and duration of parking, have been installed in individual parking spaces, connected to an electronic information display, to guide bus drivers to the nearest available parking bay.

The New York State Department of Transportation (NYSDOT) has awarded International Road Dynamics (IRD) a five-year traffic data collection installation and maintenance contract valued at US$7.34 million. Under this agreement, IRD will install, upgrade, repair, operate, and maintain permanently installed traffic data collection sites located within the state of New York. Six types of traffic data collection sites are covered under this contract, including continuous count, automatic vehicle classification

Q-Free has launched a pilot of a new smart parking sensor, in collaboration with communications providers, Telenor and the Norwegian Public Roads Authority (NPRA), with the aim of testing the new Narrow Band Internet of Things (NB IoT) communications technology with its parking sensors. The in-road sensor enables parking operators to monitor the occupancy of outdoor and indoor and is designed to withstand the weight of heavy vehicles consistently driving over it, as well as the impact of a snow plough cl

The I-75 South Metro reversible express lane project In Atlanta, Georgia, US, will open this weekend along almost 21km between Highway 138 and Highway 155 on the new double-lane addition to the I-75 median. The lanes will carry traffic northbound toward downtown Atlanta during the morning rush hour and southbound during midday and peak afternoon and evening traffic. Parsons prepared conceptual design reports for the project, including lane configuration and access studies, as well as the environmental

Cost-effective, high-resolution light detection and ranging (LiDAR) sensors capable of long-range object detection will be necessary for high to fully-automated driving applications. Demand for 3D mapping and imaging, better overall performance, automated processing of graphic data gathering and self-sufficient sensor with best-in-class performance in low-visibility conditions are factors driving the development and adoption of LiDAR sensors within the advanced driver assistance systems (ADAS) sensor suite