District Five Letting & Project Information


Current Letting and Project Information

2026 Lettings

University of Central Florida - Investigation of Connected Vehicles to Inform Design of Automated Vehicle Systems

Increased vehicle safety is a driving force in the development of Automated Vehicles (AV) and Connected Vehicles (CV) technologies. As U.S Transportation Secretary Anthony Fox stated in a public address at the beginning of 2014, “Vehicle‐to‐vehicle technology represents the next generation of auto safety improvements, building on the life‐saving achievements we’ve already seen with safety belts and air bags.” Unlike safety belts and air bags that are designed to protect motor vehicle occupants in the event of an accident, CVs will be designed to avoid catastrophes all together by providing warnings about impending danger. While not every possible situation can be avoided or foreseen while commuting in a motor vehicle, CVs have the potential to prevent many of the common accidents that do occur with improved driver situation awareness.

Accidents that occur from situations such as vehicle following, lane changing or passing, turning through intersections while crossing oncoming traffic, or running red lights and stops signs will no longer jeopardize the safety of fellow motor vehicles on the road. Moreover, AV technologies are expected to take safety in further than CV systems, with estimated annual savings of $1.3 trillion according to Morgan Stanley reports on the economic benefits of driverless cars. Specifically, it is expected that there will be an estimated saving of $507 billion due to a reduction of accident costs.

Connected Vehicles (CVs) facilitate new safety applications such as warnings for wrong way driving and blind spots, however it is still unclear what the best methods are for alerting drivers with this information. Automated vehicles (AVs) will encounter issues similar to CVs in that different information may need to be provided to a passenger so that they are able to maintain situation awareness of the vehicles operation and trust in the underlying technology.

The primary objective for this project is to investigate multimodal AV and CV displays for future vehicles to safely and quickly alert drivers of upcoming automation related vehicle warnings. This objective will be accomplished through a multi-phased approach including simulation test bed development followed by data collection with human participants performed throughout the state of Florida and at UCF. Findings from this effort will result in requirements and recommendations for how to implement connected vehicle displays for ease of use and increased safety.

2025 Lettings

University of Central Florida - Investigation of Connected Vehicles to Inform Design of Automated Vehicle Systems

Increased vehicle safety is a driving force in the development of Automated Vehicles (AV) and Connected Vehicles (CV) technologies. As U.S Transportation Secretary Anthony Fox stated in a public address at the beginning of 2014, “Vehicle‐to‐vehicle technology represents the next generation of auto safety improvements, building on the life‐saving achievements we’ve already seen with safety belts and air bags.” Unlike safety belts and air bags that are designed to protect motor vehicle occupants in the event of an accident, CVs will be designed to avoid catastrophes all together by providing warnings about impending danger. While not every possible situation can be avoided or foreseen while commuting in a motor vehicle, CVs have the potential to prevent many of the common accidents that do occur with improved driver situation awareness.

Accidents that occur from situations such as vehicle following, lane changing or passing, turning through intersections while crossing oncoming traffic, or running red lights and stops signs will no longer jeopardize the safety of fellow motor vehicles on the road. Moreover, AV technologies are expected to take safety in further than CV systems, with estimated annual savings of $1.3 trillion according to Morgan Stanley reports on the economic benefits of driverless cars. Specifically, it is expected that there will be an estimated saving of $507 billion due to a reduction of accident costs.

Connected Vehicles (CVs) facilitate new safety applications such as warnings for wrong way driving and blind spots, however it is still unclear what the best methods are for alerting drivers with this information. Automated vehicles (AVs) will encounter issues similar to CVs in that different information may need to be provided to a passenger so that they are able to maintain situation awareness of the vehicles operation and trust in the underlying technology.

The primary objective for this project is to investigate multimodal AV and CV displays for future vehicles to safely and quickly alert drivers of upcoming automation related vehicle warnings. This objective will be accomplished through a multi-phased approach including simulation test bed development followed by data collection with human participants performed throughout the state of Florida and at UCF. Findings from this effort will result in requirements and recommendations for how to implement connected vehicle displays for ease of use and increased safety.

 

2025 Award & Posting / Bid Tabulations

University of Central Florida - Investigation of Connected Vehicles to Inform Design of Automated Vehicle Systems

Increased vehicle safety is a driving force in the development of Automated Vehicles (AV) and Connected Vehicles (CV) technologies. As U.S Transportation Secretary Anthony Fox stated in a public address at the beginning of 2014, “Vehicle‐to‐vehicle technology represents the next generation of auto safety improvements, building on the life‐saving achievements we’ve already seen with safety belts and air bags.” Unlike safety belts and air bags that are designed to protect motor vehicle occupants in the event of an accident, CVs will be designed to avoid catastrophes all together by providing warnings about impending danger. While not every possible situation can be avoided or foreseen while commuting in a motor vehicle, CVs have the potential to prevent many of the common accidents that do occur with improved driver situation awareness.

Accidents that occur from situations such as vehicle following, lane changing or passing, turning through intersections while crossing oncoming traffic, or running red lights and stops signs will no longer jeopardize the safety of fellow motor vehicles on the road. Moreover, AV technologies are expected to take safety in further than CV systems, with estimated annual savings of $1.3 trillion according to Morgan Stanley reports on the economic benefits of driverless cars. Specifically, it is expected that there will be an estimated saving of $507 billion due to a reduction of accident costs.

Connected Vehicles (CVs) facilitate new safety applications such as warnings for wrong way driving and blind spots, however it is still unclear what the best methods are for alerting drivers with this information. Automated vehicles (AVs) will encounter issues similar to CVs in that different information may need to be provided to a passenger so that they are able to maintain situation awareness of the vehicles operation and trust in the underlying technology.

The primary objective for this project is to investigate multimodal AV and CV displays for future vehicles to safely and quickly alert drivers of upcoming automation related vehicle warnings. This objective will be accomplished through a multi-phased approach including simulation test bed development followed by data collection with human participants performed throughout the state of Florida and at UCF. Findings from this effort will result in requirements and recommendations for how to implement connected vehicle displays for ease of use and increased safety.

 

Previous Lettings

2024 Letting Information:  Letting, Project, Addenda, Award & Posting Information

2023 Letting Information:  Letting, Project, Addenda, Award & Posting Information

2022 Letting Information:  Letting, Project, Addenda, Award & Posting Information

2021 Letting Information:  Letting, Project, Addenda, Award & Posting Information

2020 Letting Information:  Letting, Project, Addenda, Award & Posting Information

2019 Letting Information:  Letting, Project, Addenda, Award & Posting Information

2018 Letting Information:  Letting, Project, Addenda, Award & Posting Information

 

Addenda & Amendments

Contractors will be notified of all Amendments and are required to download the Amendments from the  CPP Online Ordering System per these instructions: Amendment Instructions (PDF)

Amendment files can be downloaded by clicking on the links.  Amendments must be downloaded to the location of your original EBS file prior to preparing the bid.

 

If you do not have Acrobat Reader you can download it free at Get Acrobat Reader.

University of Central Florida - Investigation of Connected Vehicles to Inform Design of Automated Vehicle Systems

Increased vehicle safety is a driving force in the development of Automated Vehicles (AV) and Connected Vehicles (CV) technologies. As U.S Transportation Secretary Anthony Fox stated in a public address at the beginning of 2014, “Vehicle‐to‐vehicle technology represents the next generation of auto safety improvements, building on the life‐saving achievements we’ve already seen with safety belts and air bags.” Unlike safety belts and air bags that are designed to protect motor vehicle occupants in the event of an accident, CVs will be designed to avoid catastrophes all together by providing warnings about impending danger. While not every possible situation can be avoided or foreseen while commuting in a motor vehicle, CVs have the potential to prevent many of the common accidents that do occur with improved driver situation awareness.

Accidents that occur from situations such as vehicle following, lane changing or passing, turning through intersections while crossing oncoming traffic, or running red lights and stops signs will no longer jeopardize the safety of fellow motor vehicles on the road. Moreover, AV technologies are expected to take safety in further than CV systems, with estimated annual savings of $1.3 trillion according to Morgan Stanley reports on the economic benefits of driverless cars. Specifically, it is expected that there will be an estimated saving of $507 billion due to a reduction of accident costs.

Connected Vehicles (CVs) facilitate new safety applications such as warnings for wrong way driving and blind spots, however it is still unclear what the best methods are for alerting drivers with this information. Automated vehicles (AVs) will encounter issues similar to CVs in that different information may need to be provided to a passenger so that they are able to maintain situation awareness of the vehicles operation and trust in the underlying technology.

The primary objective for this project is to investigate multimodal AV and CV displays for future vehicles to safely and quickly alert drivers of upcoming automation related vehicle warnings. This objective will be accomplished through a multi-phased approach including simulation test bed development followed by data collection with human participants performed throughout the state of Florida and at UCF. Findings from this effort will result in requirements and recommendations for how to implement connected vehicle displays for ease of use and increased safety.