Iteris is partnering with Cisco to expand Cisco’s connected roadways offering.
Iteris and Cisco have deployed an edge-processing internet-of-things (IoT) solution with the City of Las Vegas that will combine data feeds from the Iteris Vantage Next video detection platform with the Cisco Kinetic software solution to analyze multimodal data from vehicles, bicycles and pedestrians for a number of high-value use cases to improve traffic flow and reduce congestion.
“Las Vegas is renowned for its heavy pedestrian traffic, so we are constantly working to deploy innovative, multimodal technologies to better manage the flow of vehicles and people,” said Michael Sherwood, director of information technologies at the City of Las Vegas.
Pedestrian safety and connected vehicle applications in particular will be highlighted throughout the collaborative program. The two companies will be working with other localities to identify the potential for additional use cases.
The program is part of a broader effort within Las Vegas to expand its Innovation District/Smart City initiatives. Last week, AT&T announced that it would be working with smart city platform Ubicquia to replace existing photocells with Ubicquia streetlight routers that run on wireless LTE and LTE-M networks. Once replaced, streetlights throughout Las Vegas will be able to adjust lighting conditions to traffic demand.
The routers will also be able to monitor and alert municipal workers about streetlight maintenance issues.
The project will be completed as a six-month pilot program with the potential to expand.
As CivSource previously reported, Las Vegas is also working with NTT and Dell on a first of its kind public-private partnership to deploy new technologies throughout the innovation district. NTT’s project is designed to help increase situational awareness and provide a foundation to traffic management and mobility. NTT Group deployed high-definition video cameras, sound sensors, as well as IoT devices to monitor a geographic area within the city’s Innovation District. Through the use of cognitive analytics, the system learns normal patterns and can detect and alert the authorities of patterns that appear abnormal to reduce response times for first responders.