The Vendor is required to provide the development of a software and hardware technology solution using emerging technologies to move toward a more efficient, data-driven, and user-friendly model of curb management.
- In this case, the City seeks to gather more information on emerging areas, including enhanced video and sensor technologies, data collection and analysis, and payment and/or enforcement solutions.
- Solutions for data collection could include data from intelligent infrastructure or sensors installed in the public right-of-way (PROW), passively collected vehicle telematics, commercial app-derived GPS data, and/or data on commercial fleets and/or gig drivers and/or general public curb users.
- A smart multimodal street analytics system would support the implementation and evaluation of targeted loading zone management, and the benefits from the resulting increase in zone turnover could be measured, such as reductions in congestion, emissions, and safety hazards caused by large-scale commercial vehicle parking.
- The solution being considered by the City include reducing double parking and lazy parking, supporting local businesses through curb space turnover, reducing carbon emissions by curtailing block circling, incentivizing zero-emission vehicle adoption, and fostering greater safety and predictability for commercial delivery operators, gig workers, local businesses, and vulnerable road users.
- Data collection and multimodal analytics could also support a digital payment system and/or potentially provide real-time support for enforcement personnel in county.
- The data collection ecosystem throughout the city could allow curb users beyond the downtown district to benefit from sharing real-time parking availability data.
- A comprehensive solution could reduce circling, double-parking, and other unsafe parking activities in the expanded project zones, as well as supporting the deployment of mobile fleet payments or license-plate-based virtual permits for safe and efficient loading zone use.
- Solutions that provide the ability to translate curb data to a standard such as the curb data specification for data analysis to determine curb inventory and its occupancy, vacancy, turnover rates, and the use of multiple indicators to differentiate curb side vehicle types (e.g., individual, contractor, loading and unloading freight or passengers, unpaid disabled parking, etc.).
- A solution for storing, organizing, and accessing the collected data should be detailed as well.
- Questions/Inquires Deadline: September 16, 2025
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