Wednesday, December 21, 2022

Deep Learning Models and Tools for Disaster Evacuation and Routing

Engineering managers and transportations planners need robust tools to communicate evacuation routing plans following disruptions from earthquake events. This project used the New Madrid Seismic Zone in Southeast Missouri as a testbed for modeling the response to an earthquake and aftershocks at magnitude 8+. This area was chosen as it allows solutions to specific regions with inadequate road networks, limited communications protocols, and high likelihood of structural damage for the proposed scenario. Research tasks include identifying road structure damage based on the Mercalli Intensity Scale, running traffic simulations for post-earthquake evacuation to determine the desired routes out of the area. The research will then be able to display warning of an earthquake event along with the desired route for the end user. Providing the safest navigation routes are a vital part of these planning efforts.

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Report number: cmr 22-014
Published: December 2022
Project number: TR202202
Authors: Steven M. Corns, Suzanna K. Long, Praveen Edara, Jacob Hale, Daeyeol Chang, Rick Bennett, and Nick Kutheis 
Performing organization: Missouri Center for Transportation Innovation

Wednesday, November 23, 2022

Missouri Systemic Countermeasures to Improve Pedestrian Safety

Missouri Department of Transportation (MoDOT) has successfully implemented systemic safety countermeasures in the past to reduce fatal and serious injury crashes related to roadway departure. MoDOT initiated this research project to address the increasing trend in pedestrian fatalities and serious injuries in Missouri. The focus of the project is to develop a Missouri Pedestrian Safety Countermeasure Tool based on analysis of pedestrian-involved crash data and identification of situational trends. This matrix-based tool identifies those peer groups (segments and intersections) that have the highest risk of pedestrian crashes and the countermeasures based on a particular set of roadway criteria (traffic volume, speed limit, and number of lanes) that can be applied across various jurisdictions. The Pedestrian Safety Countermeasure Tool includes multiple peer groups for road segments, signalized intersections, and unsignalized intersections. Overall, the study found that several priority peer groups provide the greatest impact for reducing pedestrian crashes through implementation of the Pedestrian Safety Countermeasure Tool. GIS maps were developed for each Metropolitan Planning Organization (MPO) area to facilitate implementation. Modifications to policies can further enhance pedestrian safety in Missouri.


Report number: cmr 22-013
Published: November 2022
Project number: TR202010a
Authors: Priscilla Tobias, Timothy Szwedo, and Brady Nye 
Performing organization: Arora and Associates, P.C.

Thursday, November 17, 2022

Implementation of Data Quality Assurance (QA) for Innovative Technologies at MoDOT

Intelligent construction technologies (ICTs) combine modern science and innovative construction technologies. The goal of ICT is to improve the quality of construction, save costs, and improve safety. The ICTs described in this report include intelligent compaction (IC), paver-mounted thermal profiler (PMTP) equipment, and dielectric profiling systems (DPS). IC and PMTP systems are mounted on contractor paving equipment. Therefore, the data generated by these systems is collected by the contractor. DPS systems can be owned and operated by the agency or contractor.

Meeting the Code of Federal Regulations (CFRs) for construction acceptance using ICT is a national issue but a worthwhile endeavor to ensure the ICT produces quality data for construction acceptance decisions. MoDOT is among the leading DOTs working towards satisfying the requirements to implement ICT. This project's main objective is to advance MoDOT's efforts to obtain data QA solutions for ICT.


Report number: cmr 22-012
Published: November 2022
Project number: TR202124
Authors: Dr. George Chang, Amanda Gilliland, and Dr. Abbas TaghaviGhalesari 
Performing organization: The Transtec Group, Inc.

Monday, November 7, 2022

Implementing the LWD for MoDOT Construction Acceptance of Unbound Material Layers

Conventional density-based methods of compaction quality assurance (QA) using nuclear density gauges (NDG) have been the practice for many years. However, NDG testing becomes less desirable because of safety, regulatory, and cost concerns. In addition, density is not a direct input to the structural design of the pavements and is not directly linked to pavement performance.

In recent years, modulus-based compaction QA of unbound materials is gaining attention, as it can not only result in a better constructed product but also provide the engineering properties critical for better understanding of the connection between pavement design and long-term pavement performance. Moisture content is one of the main factors influencing soil modulus and should also be performed concurrent with field modulus measurement. However, existing LWDs do not have the function to measure moisture content. 

In this study, a national survey on acceptance of LWD and a substantial literature review were firstly carried out to study the current status of LWD application. Then, four types of representative soils from two projects provided by MoDOT were selected to investigate the implementation of LWD for construction acceptance of unbound materials. Four LWD devices including three Zorn ZFG 2000 and one Zorn ZFG lab 3.0, were used in laboratory and field tests. Furthermore, two moisture content analyzers including Aggrameter and Ohaus MB120 were chosen to evaluate their practicability of quick moisture content measurement in the field. Based on the results of considerable laboratory and field tests, it was concluded that the modulus-based construction quality assessment method using LWD and moisture content analyzer Ohaus MB120 worked well at four construction sites. In addition, a guideline was created for the use of the modulus-based method in the appendix. 


Report number: cmr 22-011
Published: November 2022
Project number: TR202103
Authors: Xiong Zhang, Jenny Liu, Beshoy Riad, and Chuanjun Liu
Performing organization: Missouri University of Science & Technology

Thursday, October 27, 2022

Effectiveness of Speed Management Methods in Work Zones

Management of speeds is a significant component of any strategy to reduce work zone crashes. The objective of this study is to investigate the effectiveness of speed management countermeasures, such as speed display trailer, speed display trailer with red and blue lights, work vehicle with red and blue lights, and active and passive law enforcement, in managing vehicle speeds in work zones. The research methodology includes a review of the existing literature, field study, simulator study, and driver survey. The field study was conducted at a work zone on I-270 in the St. Louis region. All speed countermeasures tested in the field study achieved speed reductions. Active law enforcement was the most effective speed countermeasure for both daytime and nighttime conditions. Thirteen scenarios were studied using a driving simulator. Combining a speed display trailer and active law enforcement was the most effective countermeasure for daytime conditions. Using a speed display trailer by itself was the most effective for nighttime conditions. While respondents to both the driver and post-simulator surveys generally preferred the speed display trailer, they also admitted that the presence of law enforcement would be the most effective in causing them to slow down. Overall, the results of the study indicate that any of the tested countermeasures would help reduce speeds in a work zone. In some instances, deploying multiple countermeasures at the same site was found to be the most effective speed reduction strategy. 


Report number: cmr 22-010
Published: October 2022
Project number: TR202112
Authors: Henry Brown, Praveen Edara, Carlos Sun, Qingzhong Zeng, Zhu Qing, Suzanna Long, Slade Engstrom, and Shivraj Patil
Performing organization: Missouri Center for Transportation Innovation (MCTI)

Tuesday, August 16, 2022

GFRP Reinforced Bridge Barriers: Numerical Modeling

This research examines the numerical modeling of GFRP reinforced concrete bridge barrier under static and impact load. The GFRP configurations were designed to fit into the existing MoDOT Type D barrier structures. The constructability of the GFRP reinforcement was also taken into consideration. Both static and dynamic loading were modeled to examine the strength of the GFRP reinforced concrete bridge barrier under vehicle impact. The results showed that the designed barrier can withhold a reaction force of 200 kips, which satisfies the AASHTO specifications. The design load is also significantly higher than the impact loads generated by vehicle collision.


Report number: cmr 22-009
Published: August 2022
Project number: TR202112
Authors: Congjie Wie, John Myers, and Chenglin Wu
Performing organization: Missouri University of Science & Technology

Friday, July 8, 2022

Performance of Wicking Geotextile (H2Ri) to Mitigate Pavement Pumping - Phase 2

Pumping is one of the major factors contributing to pavement failures, which reduces the pavement life, affects road safety, and increases maintenance costs. Existing methods that are used as drainage systems can drain gravitational (free) water under saturated conditions but not the capillary water under an unsaturated condition. The objective of this study is to explore and identify the feasibility of using a new wicking geotextile for pumping mitigation in pavement shoulder via laboratory tests and field test section monitoring. Results obtained from monitoring the field test section for more than three years verified the effectiveness of using wicking geotextile to reduce water content, especially where the pavement is prone to pumping damage. As a result, the generation of positive pore water pressure is delayed if not completely prevented. In this way, one of the requirements of pavement pumping is eliminated.


Report number: cmr 22-008
Published: July 2022
Project number: TR202024
Authors: Javad Galinmoghadam, Xiong Zhang
Performing organization: Missouri Center for Transportation Innovation (MCTI)

Monday, June 6, 2022

Deep Learning for Unmonitored Water Level Prediction and Risk Assessment

The research uses publicly available data to develop deep learning models to predict river gauge heights at unmonitored locations in Missouri. The geospatial and rainfall data for 20 different catchment areas of Missouri is used in tandem with the clustering and ensemble deep learning approaches to develop a high-performance deep learning model that efficiently captures the interdependencies between the time-series input data values. The models can accurately predict river water level values up to 4 hours ahead in the future with a correlation of greater than 0.82 with most results having a correlation greater than 0.9. The data-based approach applied to develop a deep learning neural networks-based framework can assist the first responders in issuing timely and localized flood warnings for the safety of the general public. This methodology is applied to publicly available datasets obtained from The United States Geological Survey (USGS) and National Weather Service (NWS). The research project is funded by the Missouri Department of Transportation (MoDOT) and Mid-America Transportation Center (MATC).

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Report number: cmr 22-007
Published: June 2022
Project number: TR202111
Authors: Steven M. Corns, PhD; Suzanna K. Long, PhD; Jacob Hale; Bhanu Kanwar; and Samuel Vanfossan
Performing organization: Missouri University of Science and Technology

Monday, May 16, 2022

Consultant Support for Intelligent Compaction and Paver-Mounted Thermal Profiling Projects in 2020-2021

Due to the success of the MoDOT 2017-2019 Intelligent Compaction and Paver-Mounted Thermal Profiling (IC-PMTP) projects that demonstrate the paving quality improvements on numerous field projects, MoDOT has established a plan that includes additional IC-PMTP projects in 2020 and using IC-PMTP data for acceptance in 2021. To ensure the continued success of the MoDOT IC-PMTP projects in 2020 and beyond, MoDOT has procured Consulting Support for the selected IC-PMTP projects in 2020-2021 and implemented many initiatives such as data quality assurance (QA), performance tracking, and future acceptance with IC-PMTP data. This report is Part 2 of the Task 7 deliverable – Final Report for the 2021 work.

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Report number: cmr 22-006
Published: May 2022
Project number: TR202021
Authors: Dr. George Chang, P.E., Amanda Gilliland, P.E., and Dr. Abbas TaghaviGhalesari
Performing organization: The Transtec Group, Inc.

Thursday, April 14, 2022

Evaluation of Missouri’s NBI Data to Predict the Deterioration of Bridges

The objectives of this study were to develop deterioration curves for state-owned bridges in Missouri, study certain parameters that affect structure deterioration, and develop recommendations for cost effective designs. The study used inspection history data stored in the National Bridge Inventory (NBI). NBI data from 1983 through 2019 was used to determine the inspection histories and Condition Ratings (CR) for bridge components and culverts. Two different deterioration models were used to analyze these data. The Kaplan-Meir survival methodology was used to determine the Time in Condition Rating (TICR) and hazard functions for primary bridge components and culverts. Cox regression analysis was used to study parameters that affect structure deterioration. Parameters studied included the rate of salt application, span length, traffic volume, and environmental conditions. The performance of cast-in-place (CIP) bridge decks in different districts in the state was also studied. 

The results showed that the deterioration patterns for structures generally had an inflection point at CR 5, where deterioration rates increased as compared with CR 6,7, and 8. The results also demonstrated that the application of salt to the roadway to prevent icing had a significant impact on the deterioration of all structures, and its impact was commonly at least twice that of any other parameter studied. It was also found that increasing span length increased the rate of deterioration. Traffic volume as measured by Average Daily Traffic (ADT) and Average Daily Truck Traffic (ADTT) did not have a statistically significant effect on the deterioration of bridges. It was also found that the deterioration of bridge decks was different in different districts, and reliability curves were developed for each district to aid engineers in decision-making regarding maintenance and repair. 

Recommendations from the research included increasing the use of preservation strategies to maintain bridges in CR 6,7, and 8, where deterioration rates are lower as compared with CR 5, 4, and 3. Actions to prevent exposure to deicing chemicals, many of which are already applied in some cases, were described. Looking forward, research results should be considered as one factor in the selection of materials and geometry for new bridges.


Report number: cmr 22-005
Published: April 2022
Project number: TR202012
Authors: Glenn Washer, John Myers, Mohammad Hammed, and Henry Brown
Performing organization: Missouri Center for Transportation Innovation (MCTI)

Tuesday, February 22, 2022

Effectiveness of Temporary Rumble Strips in Work Zones

Temporary rumble strips, including short-term temporary rumble strips and long-term temporary rumble strips, are used by the Missouri Department of Transportation (MoDOT) to help reduce vehicle speeds in work zones and to alert drivers they are approaching a work zone. This research study investigated the effectiveness of temporary rumble strips used by MoDOT and other state Departments of Transportation (DOTs). The research methodology included a review of existing literature, synthesis of MoDOT and other DOT practices, field observations of driver behavior and installation of temporary rumble strips, collection and analysis of speed data, and economic analysis. A synthesis of existing DOT practices found differences in levels of implementation and standards for temporary rumble strips among DOTs. Field observations of driver behavior noted minimal erratic driver behavior. Overall, the study found that temporary rumble strips can be an effective tool to lower vehicle speeds and reduce crashes and can lead to high benefit-cost ratios. Modifications to existing MoDOT practices may potentially reduce cost, increase installation efficiency, enhance worker safety, and improve performance of temporary rumble strips.


Report number: cmr 22-004
Published: February 2022
Project number: TR202209
Authors: Henry Brown, Praveen Edara, Carlos Sun, Sungyop Kim, Jill Bernard Bracy, Qingzhong Zeng, Ho Jun Baek, and Gladwell Ndungu
Performing organization: Missouri Center for Transportation Innovation (MCTI)

Tuesday, February 15, 2022

Development of a Surface Transportation Impact Factor for Winter Severity Indices

The state of Missouri is diverse in terms of winter weather patterns, population distribution and traffic patterns.  Winter weather ranges from severe ice storms to high accumulation snow events to typical events with mixed precipitation types and amounts with a wide range of impacts across the state.  Missouri has areas ranging from sparsely populated rural to congested urban areas.  With this diversity in mind and the data-driven culture of the department, the Missouri Department of Transportation (MoDOT) Winter Severity Index process developed in this research effort provides a tool to accurately compare response practices, winter weather management, and performance across the various diverse regions of Missouri. 


Report number: cmr 22-003
Published: February 2022
Project number: TR202014
Authors: Andrew Boeckmann, R. Andrew Yeskoo, and Paul Axtell Ryan Thomas, Richard Bennett, Diar Hassan, Yaw Adu-Gyamfi, and Praveen Edara
Performing organization: Wood Environment and Infrastructure Solutions

Wednesday, January 19, 2022

Use of Thermal Integrity Profiling (TIP) in Drilled Shaft Evaluation

Thermal Integrity Profiling (TIP) methods have emerged as a viable concrete integrity test method alternative to crosshole sonic logging (CSL). The objective of this study was to evaluate TIP methods for potential implementation on MoDOT drilled shaft projects. 

The study included a review of experience from previous research and project applications as well as collection of new data from a MoDOT project application. Together, the previous studies and the new research indicate TIP and CSL are generally complementary, with TIP more effective for identifying defects outside the reinforcing cage and weak concrete defects and CSL more effective for identifying defects within the reinforcing cage and soft bottom conditions. However, the results of this study indicate soft bottom conditions may be detectible with TIP methods, especially if temperature versus time records at the bottom of the shaft are evaluated. 

This research also included implementation of fiber optic methods for collecting TIP data. Laboratory and field results indicate fiber optic methods result in similarly accurate temperature results compared with conventional TIP, although practical limitations generally mean the fiber optic methods do not produce as complete of a time record. Cost data was also analyzed, indicating conventional TIP may result in cost savings compared to CSL, which is primarily a result of savings associated with remote data collection for many TIP projects. Finally, recommended specifications for MoDOT implementation of TIP methods were developed. The proposed specifications are included as an appendix.


Report number: cmr 22-002
Published: January 2022
Project number: TR202015
Authors: Andrew Boeckmann, R. Andrew Yeskoo, and Paul Axtell
Performing organization: Dan Brown and Associates

Tuesday, January 11, 2022

Compacted Concrete Pavement

The main objective of this project was to evaluate construction issues and characterize the long-term performance of compacted concrete pavement (CCP). Three CCP test cells were designed and constructed in Scott County, Missouri, as part of a larger construction project. The total pavement length was 42 ft for the three cells. Cell 1 and Cell 2 were prepared without fibers and had a length of 15 and 12 ft, respectively. Cell 3 was prepared with 5 lb/yd3 (pcy) of synthetic fibers and had a length of 15 ft. The moisture content of the concrete was kept between 5% and 6%, and the water-to-cementitious material ratio was maintained between 0.31 and 0.38. 

Test results showed that the incorporation of fibers enhanced the mechanical properties (compressive and flexural strengths) of CCP mixtures when proper compaction was provided, as in the case of cast-in field samples. Also, fibers changed the flexural failure mode of saw-cut and cast-in-field CCP samples from brittle to ductile failure. The incorporation of fibers had a restraining effect on the drying shrinkage of CCP mixtures. The use of fibers did not have a significant effect on the performance of CCP mixtures, as shown from the falling weight deflectometer (FWD), truck loading tests and curling and warping. This can be mainly related to the extremely dry consistency of the CCP mixtures (Vebe consistency > 60) that can hinder bond strength in the interfacial transition zone with the matrix. This was more accentuated in the saw-cut samples from the paved CCP as the paving process in the field did not provide enough compaction. As for the size of slabs, results showed that the size of CCP slabs was more effective in the curling and warping measurements. The slab with longer length (15 ft) showed higher variations in curing and warping along the diagonal, transverse and longitudinal lengths over time. 

Therefore, the use of fibers in CCP can be recommended provided that the CCP mixture has adequate workability and sufficient compaction energy applied during construction.

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Report number: cmr 22-001
Published: January 2022
Project number: TR201904
Authors: Kamal H. Khayat, Nima Farzadnia, and Ahmed Abdelrazik
Performing organization: Missouri University of Science & Technology