San Jose Picks 2 Vendors to Provide Platform and Traffic Data

The city of San Jose has authorized the city manager to negotiate and execute a $1.5 million agreement with two tech companies — one to provide a data platform, and the other to provide a system to gather the data needed to feed the platform.

The city’s goal is to quantify San Jose’s traffic patterns and make relevant planning decisions based on the data.

The City Council last week approved negotiations with CommunityLogiq Software Inc. (which also operates as UrbanLogiq) for the platform and with Replica for the data system. Both vendors were among the respondents to a request for proposals that the city published in February. The RFP notice went to some 10,000 vendors; 20 responded.

“The new data analytics platforms will leverage current technology and provide machine learning, artificial intelligence, and data science as a service within the city, while the transportation-related data will be analyzed to understand travel behaviors, traffic movements, patterns and mobility,” says an explanatory memo to the council.

CommunityLogiq will provide a three-year contract for no more than $1,095,000, beginning Jan. 31, with an option for adjustment. Replica will provide the data system in a two-year agreement beginning this month and running through Dec. 30, 2026, for a cap of $291,400.

San Jose’s Department of Transportation is developing a Decision Support System “that will help quantify the impact of planned projects on various city metrics, such as mode share and vehicle miles traveled,” according to the memo. “The Decision Support System will also help create a prioritized list of projects based on their impact on the city’s metrics.”

Once the system is implemented, it will be hosted on the CommunityLogiq platform.

The proposed solution, according to the briefing memo to the council, “will not only serve as a robust data analytics platform but will also provide the city access to data engineering and data science services. These services are critical for leveraging machine learning and advanced analytics capabilities to create actionable data products on the cloud platform. This will enable the city to utilize data more effectively to establish, refine and enhance policy decisions and service delivery.”

The data sought by the city includes such metrics as turning movements, traffic volume, pedestrian and bicycle counts, and other key data to assess the performance of the city’s transportation system. This data is traditionally compiled in one-time assessments — the solution would enhance the city’s ability to continually monitor the data and make changes accordingly.

“This data will improve traffic analysis, support the implementation of enhanced traffic management strategies, update the city’s Decision Support System and help the city to optimize its transportation system and promote sustainable urban mobility,” the council memo said.