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21st Century Operations Using 21st Century Technologies

Grant Proposal for U.S. Department of Transportation Advance Transportation and Congestion Management Technologies Deployment (NOFO 693JJ317NF0001): Volume 1 – Technical Application


8.1 Traffic Congestion

Image of meeting room with TV screen with roadways displayed.

A variety of software models will be utilized to calculate traffic congestion levels in the City. In addition, advanced data collection systems that collect and report travel time data will provide valuable information to our engineers (and residents) as they optimize the system. With the installation of ITS traffic monitoring cameras, City staff will be able to, in real time, evaluate and respond remotely to traffic challenges throughout the City. The City has been working towards and is ready to play a key role in the transportation system's innovations arena (City's brand new TMC to the right).

A fully connected network of traffic signals, sensors, and traffic monitoring cameras will be critical to the successful deployment of a transportation system that will be a model to others in the region, and the rest of the country.

8.2 Ozone Emissions

Chula Vista will utilize a number of software models to estimate vehicle emissions and ozone using its new data collection devices, traffic signal central system, and ATC controllers. In addition, to more accurately and to confirm that data, the City proposes the use of gas and particle emission measuring sensors on all of the intelligent street lights that are being installed as part of this grant. The City will deploy intelligent street lights with these sensors at various locations, throughout the City, to assist with the data collection and reporting efforts.

8.3 Emergency Vehicle Response Times

The Fire Department, in collaboration with the traffic engineering branch, will work together to gather fire response times. The Fire Department is already required to report its fire response times to the City's GMOC group. However, in addition, to measure the effectiveness of this deployment we will use the GPS-enabled system's analytics to report on aggregated travel time of response calls across all preemption equipped vehicles. We will provide the necessary reports to USDOT, as needed.

8.4 Intersection Safety

Chula Vista will use Data-Driven Safety Analysis (DDSA) tools to perform annual reviews of its high crash locations in order to provide an enhanced level of service and safety to the road users. In addition, semi-annual evaluations will be conducted for intersections with high crash rates within the past three years. These thorough evaluations, and the use of advanced technology, will result in a safer transportation safety for all users.

8.5 Mass Transit

Bus transit travel times, speeds, and number of stops will be utilized to measure the effectiveness of the GPS EVPE system including analyzing signal timing and vehicle delay logs from the adaptive signal control system. The City will collaborate closely with MTS staff to identify troubles spots and gather feedback from bus operators. A Chula Vista-MTS working group will be formed and will meet yearly to discuss system operations once fully implemented.

8.6 Energy Conservation

The image shows a street with a street lamp in the forefront.  There are 6 circles with words and corresponding logos: Audio, Motion, Video, Vibration, Environment, and Ambient.

Chula Vista will utilize various software models to estimate energy usage as it relates to vehicle fuel consumption and other transportation-related uses. However, it will rely on its new intelligent street lighting system to report on actual electricity usage given that this new system will allow for dimming and motion-activated lighting controls.


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