Pavement Marking Selection Process for State and Local Roads
| Location: | South Dakota |
|---|---|
| Posted: | Feb 9, 2025 |
| Due: | Mar 22, 2025 |
| Agency: | State Government of South Dakota |
| Type of Government: | State & Local |
| Category: |
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| Solicitation No: | 25RFP13388 |
| Publication URL: | To access bid details, please log in. |
| Event ID: | 25RFP13388 |
| Event Name: | Pavement Marking Selection Process for State and Local Roads |
| Published Date: | Feb 8, 2025, 04:18 AM KT |
| Event Due Date: | Mar 22, 2025, 07:00 AM KT |
| Invitation Type: | Invitation Only |
| Status: |
Ready for Responses
|
Event ID:
25RFP13388
Published:
Feb 8, 2025
04:18 AM KT
04:18 AM KT
Due Date:
Mar 22, 2025
07:00 AM KT
07:00 AM KT
Award Date:
--
Q&A Cutoff Date:
Feb 8, 2025
05:14 AM KT
05:14 AM KT
Invitation Type:
Invitation Only
Event Description
Pavement markings are essential for guiding road users on both state and local paved roads during the day and night and under various weather conditions. The choice of pavement marking materials—such as wet retroreflective and retroreflective media—depends on several factors. These factors include the cost of materials, durability requirements of the roadway, presence of street lighting, presence of rumble strips, type of pavement, average daily traffic (ADT), contractor availability, snowplow operations, functional classification of the roadway, and its general location. Additional considerations may involve whether to recess the markings or provide contrast markings. Given these variables, the pavement marking type selection is inconsistent across the four Regions of the South Dakota Department of Transportation (SDDOT).
A research project is needed to identify which pavement markings are most effective for state and local roads. It is also important to consider autonomous vehicles (AVs), Automated Driving Systems (ADS), and Advanced Driver Assistance Systems (ADAS)—such as lane departure warning (LDW) and lane keeping assistance (LKA)—when choosing pavement markings. These technologies, which utilize cameras and sensors to detect pavement markings, have the potential to significantly reduce crashes caused by human error and distracted driving.
By establishing a standardized approach to selecting pavement markings, implementing maintenance strategies and asset management practices, and providing training across the state, we can enhance road safety by leveraging these advancements. A pavement marking selection tool, matrix, guide, and/or decision tree, along with asset management practices and training resources, are necessary to assist state and local government agencies in choosing and maintaining pavement markings based on various pavement types, traffic conditions, roadway characteristics, and functional classes, all while complying with the Manual on Uniform Traffic Control Devices (MUTCD) 11th Edition.
This research will examine each type of pavement marking, new and emerging options, application rates, installation processes, maintenance schedules after initial placement, asset management practices, training practices, and life cycle cost analysis (LCCA).
Proposal Deadline: Proposals are due to the SDDOT by 5:00 pm CDT on Friday, March 21, 2025. This deadline is firm. Extensions will not be granted.
Proposals must be submitted as an e-mail attachment in Portable Document Format (PDF) not exceeding 14MB. The email must be addressed to andy.vandel@state.sd.us and danny.doorn@state.sd.us. Proposers should send the e-mail using “Delivery Receipt” and “Read Receipt” options to verify successful delivery.
Proposal Guidelines: Proposals must fulfill the requirements listed in the document entitled RESEARCH PROPOSAL PREPARATION, SUBMISSION, AND EVALUATION and dated October 28, 2022.
Proposal Evaluation: Proposals will be evaluated by a technical panel knowledgeable in the problem area. Selection will be made in consideration of criteria listed in RESEARCH PROPOSAL PREPARATION, SUBMISSION, AND EVALUATION.
Project Management: Danny Doorn is responsible for the management of this project and can be reached at danny.doorn@state.sd.us to answer inquiries.
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