METHODOLOGY
MoDOT set performance metrics for each technology and identified the data sources linked to each performance measure, as well as any data limitations or constraints. The agency also…
METHODOLOGY
The project had three phases: four stations were completed in Phase 1 (Fall 2024), seven were completed in Phase 2 (Spring 2025), and the remaining 27 in Phase 3 (expected to be complete…
METHODOLOGY
Starting in August 2021, MoDOT evaluated the crash prediction and incident detection algorithms quarterly for their accuracy during peak hours (6 to 9 a.m. and 3 to 6 p.m.), for fatal and…
METHODOLOGY
A field study was conducted to collect and analyze approximately four weeks of data from a work zone on I-270 westbound, spanning from the Lindbergh Boulevard interchange to Dunn Road…
Findings
By diverting 98,000 to 120,000 vehicles daily to alternative routes for two years, the impact costs over the normal operational state were $101.5 million.
Had a partial closure system…
METHODOLOGYPost-VSL deployment data from four segments on I-270 during peak periods was used to evaluate mobility outcomes of VSL. To understand operations under virtual pre-VSL operations, the…
METHODOLOGYThe benefit-cost analysis used safety data from incidents that occurred from the years 2000-2008 on seven freeways in the metro St. Louis area. The analysis used data that law enforcement…
The I-270 Predictive Layered Operations Initiative (PLOI) was an effort by the Missouri Department of Transportation (MoDOT) to improve traffic management and enhance roadway safety along the I-270…
Recent trends in big data combined with technological breakthroughs in Artificial Intelligence (AI) and Machine Learning (ML) have the potential to transform transportation planning and operations.…
Motorist Assist is a freeway service patrol program covers all freeway segments in the St. Louis metro area. Initially deployed in 1993 as part St. Louis's overall ITS deployment, Motorist Assist was…
MoDOT noted lessons learned throughout the four-year project, including the following:
Consider compatibility across technology systems. Each system comes with unique specifications, data…
Key lessons learned include the following:
Consider the accuracy required, scale of application, and nature of the decision when evaluating AI/ML solutions. MoDOT concluded that AI/ML was most…
LESSONS
Chandler, AZ (Bluetooth deployment)
This technology uses a wireless Bluetooth reader to communicate with in-vehicle devices programmed to pair with other Bluetooth devices. Matching…