9042 - Questions and Answers.pdf

FLORIDA DEPARTMENT OF TRANSPORTATION

Procurement Office

605 Suwannee Street, MS 20 Tallahassee, Florida 32399-0450

Phone: (850) 414-4477

QUESTIONS AND ANSWERS DATE: February 02, 2023

BID No.: DOT-ITB-23-9042-SD

BID Title: Visual Analysis Services

OPENING DATE: Thursday, February 9, 2023 @ 11:00AM EST

QUESTIONS AND ANSWERS PROVIDED BELOW

Bidders/Proposers must acknowledge receipt of this Addendum by completing and returning to the

Procurement Office, by no later than the time and date of the bid/proposal opening. Failure to do so may subject the bidder/proposer to disqualification.

Sally Dobson, Procurement Agent

Bidder/Proposer

Address

Submitted by (Signature)

Failure to file a protest within the time prescribed in Section 120.57(3), Florida Statutes, or failure to post the bond or other security required by law within the time allowed for filing a bond shall constitute a waiver of proceedings under Chapter 120, Florida Statutes.

FLORIDA DEPARTMENT OF TRANSPORTATION

Procurement Office

605 Suwannee Street, MS 20 Tallahassee, Florida 32399-0450

Phone: (850) 414-4477

QUESTIONS AND ANSWERS DATE: February 06, 2023

BID No.: DOT-ITB-23-9042-SD

BID Title: Visual Analysis Services______________________________

OPENING DATE: Thursday, February 9, 2023 @ 11:00AM EST

QUESTIONS AND ANSWERS

Question 1 Will the cameras producing the videos be stationary?

Answer 1 Yes.

Question 2 Will they be a standard installation height-angled down toward traffic?

Answer 2 Yes, typically 20-30m

Question 3 Will there be night time videos?

Answer 3 Yes.

Question 4 If so, will the cameras have infrared or will the videos depend on street lighting?

Answer 4 Zero Light Infrared Night Vision.

Question 5 Is it possible to receive some common sample footage to review?

Answer 5 No.

Question 6 How many different locations/camera views will there be?

Answer 6 19 minimum locations.

Question 7 What type of lenses do the cameras have?

Answer 7 2.8 mm Fixed Lens / 111 Degree View.

Question 8 Are there any fisheye lenses?

Answer 8 Eye-ball Dome / Turret Style Mount.

Question 9 Is the requirement of this ITB for the vendor to complete processing and reporting on 100 to 1,000 hours of video within 2 hours but not greater than 24 hours as it appears to state in the

ITB?

Answer 9 Yes.

Question 10 Do the video recordings being uploaded contain any meta data to be extracted as part of data extraction, that shall be required for dashboarding/reporting?

Answer 10 No.

Question 11 In what formats (compression/encryptions technologies) do the recorded video files stored, which to be ingested onto the analytics service? Are there any compliance regulations for secure data store in Analytics Service Platform?

Answer 11 No storage.

Question 12 Doe the recorded videos come from various camera sources deployed at various location, mounted on vehicles etc.?

Answer 12 Multiple cameras at various locations but same brand.

Question 13 Do we have geo-positions and the number of cameras per geo-position along with the road map?

Answer 13 No.

Question 14 Do we have camera identification along with their geo-positions?

Answer 14 No

Question 15 It is mentioned that each upload video data size could be 100GB to 1TB. What is the frequency of such uploads expected to be processed by the service in a month?

Answer 15 In a month 100GB or less.

Question 16 Please provide some details in terms of how many uploads shall be required to be supported by the services at any given point of time.

Answer 16 1TB per year.

Question 17 What is the current infrastructure/storage system, where the video records are being stored?

Answer 17 We do not store and are prohibited to store any video due to exemption.

Question 18 Please let us know interface details (API / Connectors) supported for extraction of the data.

Answer 18 Video result should be CSV.

Question 19 Are there any additional data sources that need to be ingested for the purpose of analytics reporting?

Answer 19 None.

Question 20 What are the expectations from Analytics Service host environment?

Answer 20 98% Accuracy for determining non-motorized counts.

Question 21 Any preferences towards AWS/Azure/GCP or any other?

Answer 21 No, video storage is prohibited.

Question 22 What API /Data (e.g. REST/ JSON), format are you expecting for the Analytics Platform to provide for the FDOT integration?

Answer 22 Either CSV, SQL, and Oracle.

Question 23 Roadmap: Is there any future expectation to process real-time data streaming, develop a real-time alert generation system to monitor traffic?

Answer 23 No.

Question 24 Are you expecting APIs to integrate the processed data tables/full raw data/ both?

Answer 24 Full raw data.

Question 25 Are there any references documents/diagrams to define UI/UX requirements for each of these dashboards?

Answer 25 No.

Question 26 Any preference to the technology / BI reporting tool? (e.g. Power BI/ Tableau etc.)

Answer 26 No preference.

Question 27 Analytics Reporting requirements - such as Location Analytics, Traffic Turns, O-D movements, appear to be requiring location data; Please elaborate how this data being extracted / ingested?

Answer 27 Rarely would be collect data for the above-mentioned data set; however, studies may need to be conducted.

Question 28 Please provide more specific requirements for each reports dashboards - data visualization insights and any preferred visualizations.

Answer 28 Able to view the percentages, total number of all 8 classifications.

Question 29 How will the department assess the performance of different proposed models for different use cases?

Answer 29 Manual validation.

Question 30 How will accuracy be defined for each use case?

Answer 30 The department will verify the results by preselecting specific zones once video is uploaded.

Question 31 Will the department provide test cases to report the accuracy for different use cases?

Answer 31 No.

Question 32 Should we create predictive models to predict probabilities of adverse advents?

Answer 32 No.

Question 33 Or, should we create time series forecasts for expected number of problems?

Answer 33 Not required for this project.

Question 34 Can the supplier ask for traffic data recording samples (if needed) with different camera positions from FDOT, to finetune the accuracy of the classifier during this development stage of the project delivery, before the analytics service first go-live happens?

Answer 34 No.

Question 35 Any preference to deployment environment (e.g. Azure, AWS, or GCP etc.)

Answer 35 Not required.

Question 36 What are the compliance requirements? Please select link

Answer 36 Data to view standards, and User Interface - A review of user interface design against Web Application and 508/WCAG 2.1.

Question 37 What would be the major milestones for the completion of the key deliverables with respect to different use cases?

Answer 37 98% accuracy count and classification data for 1TB of video data.

Question 38 What would be the first major milestone delivery duration?

Answer 38 98% accuracy count and classification data for 1TB of video data.

Question 39

Once the detailed requirements of each of the dashboards are shared, supplier shall execute this project developing, customizing the reporting dashboards as per expectations from FDOT. Is FDOT having any schedule limits for the supplier to deliver and go-live for this service once the contract is awarded?

Answer 39 The dashboards are only for internal users so the go-live should be after 1st video upload.

Question 40 Traffic Monitoring: Beyond classification as image analytics, are you also expecting image analytics to detect traffic violations, accidents, breakdowns, road closures or any other such incidents? (we are assuming each recording shall have time stamp and GPS data.)

Answer 40 No.

Question 41 Are you also considering to include additional use-cases such as, parking management (road side parking), road asset management, emission monitoring, etc.?

Answer 41 No.

https://gcc02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdev.azure.com%2Ffdot%2FStandards%2F_wiki%2Fwikis%2FStandards.wiki%3FwikiVersion%3DGBwikiMaster%26pagePath%3D%2FData&data=05%7C01%7CSally.Dobson%40dot.state.fl.us%7Cf604c5d9d62b4b4f966408db039324d0%7Cdb21de5dbc9c420c8f3f8f08f85b5ada%7C0%7C0%7C638107702733870872%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=xNMr3EZEwx2RH6TKwnOio9AwnSc7GqybqV1D27tqz4M%3D&reserved=0 https://gcc02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdev.azure.com%2Ffdot%2FStandards%2F_wiki%2Fwikis%2FStandards.wiki%3FwikiVersion%3DGBwikiMaster%26pagePath%3D%2FWeb%2520Application&data=05%7C01%7CSally.Dobson%40dot.state.fl.us%7Cf604c5d9d62b4b4f966408db039324d0%7Cdb21de5dbc9c420c8f3f8f08f85b5ada%7C0%7C0%7C638107702733870872%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=gEq%2FIRjTnXtiOq%2FMcDe8FinsPeTF7upjShvQrH6Njm4%3D&reserved=0 https://gcc02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdev.azure.com%2Ffdot%2FStandards%2F_wiki%2Fwikis%2FStandards.wiki%3FwikiVersion%3DGBwikiMaster%26pagePath%3D%2FWeb%2520Application&data=05%7C01%7CSally.Dobson%40dot.state.fl.us%7Cf604c5d9d62b4b4f966408db039324d0%7Cdb21de5dbc9c420c8f3f8f08f85b5ada%7C0%7C0%7C638107702733870872%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=gEq%2FIRjTnXtiOq%2FMcDe8FinsPeTF7upjShvQrH6Njm4%3D&reserved=0