Transportation Engineering Commons^™

Going The Extra Mile: Responding To Eastern Kentucky Flooding, Ed Green

Purdue Road School

The Kentucky Transportation Cabinet (KYTC) responded to one its worst transportation challenges ever when historic flooding struck Appalachia and Eastern Kentucky counties in 2022. The transportation agency responded immediately to the disaster, and in the months following the event, KYTC was charged with assessing bridges for safety, clearing roads and streams, and restoring access to allow responders to reach those in need. New programs were quickly developed to address needs ranging from the installation of temporary bridges to the creation of temporary shelters for displaced residents. During this, C2 Strategic Communications partnered with KYTC to develop a communications campaign to …

Experimenting With Orange Pavement Markings On Indiana Roadways, Michael R. Williamson, Joseph Bruno

Purdue Road School

This session presents the status of experimental orange pavement markings on Indiana roadways. The presentation includes a summary of the MUTCD experimentation request and an evaluation of orange pavement marking types— including tapes and paints with a focus on color and retroreflectivity retention. The effects of driving behavior on the safety of work zones, vehicle lane positioning, and public opinion are also discussed.

See A Sign? Make A Call, John Habermann, P.E.

Purdue Road School

DOT staff and technology resources have the proven potential to help combat human trafficking if DOT employees know the indicators of human trafficking and how to cooperate with requests from agencies for information that can be derived from DOT assets. The Texas A&M Transportation Institute, NCHRP, and the Heart of Texas Human Trafficking Coalition will discuss the intersection of human trafficking with the transportation sector. Attendees will also learn the main components of human trafficking, the basic signs of human trafficking on DOT facilities, and resources to use in their own states.

Wrong-Way Driving: Data Collection, Analysis, And Safety Countermeasures, Parisa Hosseini

Theses and Dissertations

Wrong-way driving (WWD) crashes have been a long-lasting issue for transportation agencies during the past decades. According to the AAA Foundation's latest statistics, on divided highways, a total of 2,921 WWD fatal crashes were documented from 2010 to 2018, resulting in 3,546 fatalities. In order to analyze WWD events, this study attempts to initially develop a methodology to identify actual WWD crashes from potential WWD crashes in police reports by using text mining and machine learning techniques. Afterward, developing a hazard-based duration model, this study investigates the contributing factors related to the distance traveled by a wrong-way (WW) driver involved …

Designing And Evaluating A Smartphone App To Increase Underserved Communities’ Data Representation In Transportation Policy And Planning, Courtney Cronley, Anna O'Dell, Noelle Fields, Stephen P. Mattingly, Nicole Iroz-Elardo, M. Christine Highfill, Rebecca Cole, Mary Kris Stringfellow

School of Social Work Faculty Publications

The current global focus on transportation equity, as well as a move towards smart mobility, highlights the need for more representative transportation data to inform transportation planning. In this case study, an interdisciplinary research team describes the process of refining and evaluating the utility of a transportation daily diary mobile-phone-based app. The process is framed through transportation equity and diverse key stakeholder engagement. The team custom-designed the app, MyAmble, to capture successful transportation behaviors, as well as latent demand, defined as travel not taken but desired, among underserved populations. Stakeholder focus groups with subject matter expert (n = …

A New Generation Of Dense-Graded Asphalt Mixtures With Superior Performance Against Stripping And Moisture Damage, Mostafa Elseifi, Zahid Hossain, Md. T.A Sarkar, Hossam Abohamer, Mohammad Oyan

Data

The presence of moisture beneath the pavement surface is a matter of great concerns as it is responsible for significant distresses such as asphalt concrete (AC) stripping, fatigue cracking, rutting, and poor durability of asphalt mixes. The objective of this study was to evaluate and recommend an asphalt mixture design that would provide superior performance against AC stripping and cracking. To achieve this objective, a laboratory test factorial was developed to evaluate the use of nanomaterials, emerging anti-stripping agents, warm-mix asphalt technologies, and adhesion promotors. In the experimental program, the modified Lottman test (AASHTO T 283) and the Indirect Tensile …

Existing Transportation Infrastructure In The Central Appalachian Basin To Support Core-Cm, Bryan Gibson, Robin Baskette, Doug Kreis

Kentucky Transportation Center Research Report

Stretching from Tennessee northeastward through southwestern Pennsylvania, the Central Appalachian Basin’s economic fortunes have long depended on coal production. However, as the U.S. has increasingly turned toward new forms of energy to generate electricity, the region’s economy has faced inexorable headwinds. Yet, what is clear is that the extractive industries are likely to play a key role in shaping the basin’s economy in the years to come. Taking this assumption as a starting point, this paper discusses how well current transportation infrastructure can support expanded us of the basin’s carbon ore, rare earth, and critical minerals (CORE-CM), other minerals, and …

Performance Of High Early-Strength Materials Used In Concrete Bridge Repair, Zina Ebrahim, Fray F. Pozo-Lora, Zachary Benson, Mohammad Mastali, Marc Maguire, Jiong Hu

Nebraska Department of Transportation: Research Reports

High early-strength materials are widely used for rapid concrete patching projects to limit road closure time and traffic obstruction. This research investigated the field performance of multiple high early-strength materials used in maintenance projects across Nebraska. Data from high early-strength products included in the state’s approved product list were collected and compared to field performance. In addition, a survey was prepared and distributed to the surrounding states to understand standard practices related to appropriate specifications of these materials that can be later used to develop specifications for the utilization of high early strength materials in Nebraska based on experimental and …

Uhpc Decked I-Beam For Accelerated Bridge Construction, George Morcous, Maher K. Tadros

Nebraska Department of Transportation: Research Reports

Ultra-High-Performance Concrete (UHPC) is an excellent material for bridge construction due to its exceptional durability and superior mechanical properties. Several Departments of Transportations (DOTs), including NDOT, have limited the use of UHPC in bridge construction to joints and connections between bridge components due to the relatively high materials cost of commercially UHPC products. Recently, NDOT has sponsored a research project to develop a non-proprietary UHPC using local materials to reduce materials cost and ensure its availability to local contractors and precast producers. The project was completed successfully and an economical UHPC mix that satisfied all workability, durability, and strength requirements …

A New Generation Of Dense-Graded Asphalt Mixtures With Superior Performance Against Stripping And Moisture Damage, Mostafa Elseifi, Zahid Hossain, Md. T.A. Sarkar, Hossam Abohamer, Mohammad Oyan

Publications

The presence of moisture beneath the pavement surface is a matter of great concerns as it is responsible for significant distresses such as asphalt concrete (AC) stripping, fatigue cracking, rutting, and poor durability of asphalt mixes. The objective of this study was to evaluate and recommend an asphalt mixture design that would provide superior performance against AC stripping and cracking. To achieve this objective, a laboratory test factorial was developed to evaluate the use of nanomaterials, emerging anti-stripping agents, warm-mix asphalt technologies, and adhesion promotors. In the experimental program, the modified Lottman test (AASHTO T 283) and the Indirect Tensile …

Evaluating Automated Truck Platoon (Atp) Deployment For The Los Angeles–Inland Empire Trade Corridor Enhancement, Shailesh Chandra, Aastha Chaudhary, Prakhar Srivastava, Jose Torres-Aguilera

Mineta Transportation Institute

The California Freight Mobility Plan 2020 lists the Los Angeles-Inland Empire trade corridor region as a prominent industrial hub experiencing an increase in freight flows. The California Freight Mobility Plan also regards automated truck platoon (ATP) as an emerging opportunity to minimize congestion on the trade corridor routes. Percentage change in accessibility from 2022 (“without” ATP) to 2040 (“with” ATP) is calculated for the eighteen industry sectors of the Los Angeles-Inland Empire trade corridor. The application of the accessibility formulation was carried out with data on travel time from I-710 and I-10 within Los Angeles County. The findings suggest that …

Spatial Data Analysis For The Development Of Expected Adverse Weather Charts For Transportation Construction Projects, S M Rahat Rashedi, Akosua Ofosua Okyere-Addo

SDSU Data Science Symposium

Problem - Seasonal and daily weather events impact construction projects across the various climate regions of South Dakota in differing fashions. Additionally, the impacts for similar weather events can impact grading, surfacing, and structural construction activities in various ways. Adverse weather conditions can cause major delays which may lead to time extensions and increase project cost.

Purpose – To address these issues, South Dakota Department of Transportation (SDDOT) developed Working Day Weather Charts in 1998. However, advances in construction practices and weather prediction as well as climatic changes have occurred over the interim 25 years. This study is focused on …

Spatial Data Analysis For Traffic Safety Network Screening, Akosua Okyere-Addo, S. M. Rahat Rashedi

SDSU Data Science Symposium

Problem - The roadway system represents a major investment, both public and private, and a valuable resource that enables mobility and accessibility to users. Due to degradation of aging infrastructure and increasing traffic, transportation agencies are seeking to effectively update or improve the system. With rising costs, tight budgets, and limited land resources, agencies are seeking effective techniques for identifying critical mobility and safety concerns. Historically, assignment of crashes to portions of the network, whether segments or intersections, has been the primary manner to link crash and road elements.

Purpose – The primary goal is to explore a potentially more …

Evaluation, Comparison, And Improvement Recommendations For Caltrans Financial Programming Processes And Tools, Wenbin Wei, Nigel Blampied, Raajmaathangi Sreevijay

Mineta Transportation Institute

The California Transportation Improvement Program System (CTIPS) is the main tool used by Caltrans’ Division of Financial Programming to support the business of transportation programming. It is a multi-agency joint-use project programming database system applied to develop and manage various state and federal transportation programming documents. The goal of this project is to evaluate CTIPS and explore various new options that will maintain the current functionality of CTIPS, meet legislative guidelines for ADA compliance, ensure security of the system, and have sufficient scalability and capabilities for integration with other systems in the future. The research is based on the review …

Dlr Covid-19 Mobility Review (Phase 2a): Report On Cmr Economic Development & Business Community Feedback, Sarah Rock Dr., Robert Bradshaw Dr., David O'Connor, Odran Reid

Reports

This research reports on the findings from an area focused economic development and business community focused study of the Costal Mobility Route (CMR), which is intended to complement and extend research previously conducted in Phase 1 of Dún Laoghaire-Rathdown County Council’s (DLR’s) ‘Covid-19 Mobility & Public Realm Works’ project. This study is based on participant interviews, and is limited to businesses located directly along the CMR, as well as a number of business groups representing a wider area and a Local Enterprise Office.

While one company reported a significant decline in revenue that they attribute to the CMR, the remainder …

Virtual Accident Curb Risk Habituation In Workers By Restoring Sensory Responses To Real-World Warning, Namgyun Kim, Laurent Grégoire, Moein Razavi, Niya Yan, Changbum R. Ahn, Brian A. Anderson

Civil and Environmental Engineering and Engineering Mechanics Faculty Publications

In high-risk work environments, workers become habituated to hazards they frequently encounter, subsequently underestimating risk and engaging in unsafe behaviors. This phenomenon has been termed "risk habituation"and identified as a vital root cause of fatalities and injuries at workplaces. Providing an effective intervention that curbs workers' risk habituation is critical in preventing occupa-tional injuries and fatalities. However, there exists no empirically supported intervention for curbing risk habituation. To this end, here we investigated how experiencing an accident in a virtual reality (VR) environment affects workers' risk habituation toward repeatedly exposed workplace hazards. We examined an underlying mechanism of risk habituation …

The Effects Of Inaccurate And Missing Highway-Rail Grade Crossing Inventory Data On Crash Model Estimation And Crash Prediction, Aemal Khattak, M. Umer Farooq

Mid-America Transportation Center: Final Reports and Technical Briefs

ABSTRACT: Most highway-rail grade crossing (HRGC) crash models in the US rely on the Federal Railroad Administration’s (FRA) highway/rail crossing inventory database. Any errors and/or incomplete information in this database affects the estimated crash model parameters and subsequent crash predictions. Using 560 HRGCs in Nebraska, this study illustrates differences in crash predictions obtained from the FRA’s new (2020) Accident Prediction and Severity (APS) model when: 1) using the unaltered, original FRA HRGC inventory dataset as input, and 2) using a field-validated inventory dataset for those 560 HRGCs as input to the new APS model. Results showed that the predictions using …

Motor Vehicle Drivers' Knowledge Of Safely Traversing Highway-Rail Grade Crossings, Aemal Khattak, M. Umer Farooq, Abdul Farhan

Mid-America Transportation Center: Final Reports and Technical Briefs

This study investigates motor vehicle drivers’ socioeconomic, personality, and attitudinal factors associated with their knowledge of safely traversing highway-rail grade crossings (HRGCs). A survey of randomly selected Nebraska households solicited responses from licensed drivers (N= 980, response rate = 39 percent). Of the total thirty-one questions on the questionnaire, nine pertained to respondents’ knowledge of safely navigating HRGCs (e.g., what does a crossbuck sign require a driver to do when approaching a rail crossing?). Correct answers to the questions provided a measure of respondents’ knowledge of safely traversing HRGCs and led to their classification in five ordered categories. A random …

A Heterogeneity-Based Temporal Stability Assessment Of Pedestrian Crash Injury Severity Using An Aggregated Crash And Hospital Data Set, M. Umer Farooq, Aemal Khattak

Mid-America Transportation Center: Final Reports and Technical Briefs

This study utilized a unique approach to crash data analysis by examining the temporal stability of pedestrian crash injury severity and its contributory factors. Police-reported crash data and EMS-related injury data from Nebraska were obtained from 2014 to 2018, and random parameter ordered probit models for injury severity were estimated for each year to account for unobserved heterogeneity. Four discrete levels of injury severity were considered for model estimation: fatality, disabling injury/suspected serious injury, visible injury/possible injury, and no injury. Data were filtered based on several important variables of interest, such as pedestrian characteristics, crash characteristics, environmental and weather characteristics, …

A Simulation Way To Investigate The Reason For Congestion In Urban——A Case Study In Hohhot China, Junqing Wang, Hong Yang, Yuan Zhu, Qingwen Pu, Shunlai Cui

College of Engineering & Technology (Batten) Posters

In the case of high density traffic flow, traditional traffic data statistical analysis methods, which not only have certain errors and lead to inaccurate data, but also have many limitations such as labor consumption, can no longer meet the demand for traffic analysis. Drones for traffic data, based on an aerial bird's-eye view, no offset, and error-free complete statistics of urban road shooting section of all data, while greatly reducing cost consumption. A multi-dimensional simulation model is established for the UAV data to the Hohhot central urban area's road simulation platform. This project will test and explore multidimensional data in …

Investigating The Impacts Of Connected Vehicles On Driving Aggressiveness And Situational Awareness In Highway Crash Scenarios: A Driving Simulator Study, Abdalziz Alruwaili

College of Engineering & Technology (Batten) Posters

Psychological factors such as aggressiveness and situational awareness can impact driving performance. Connected vehicles (CV), equipped with advanced sensors and able to communicate safety messages to drivers, have the potential to influence driving performance by altering drivers’ aggressiveness and situational awareness. This paper aims to investigate the impacts of the CVs on driving aggressiveness and situational awareness in highway crash scenarios where a primary crash has already occurred, and a second crash may occur as a result. To achieve this goal, a driving simulator experiment was conducted, and questionnaires focused on driving aggressiveness and CV effectiveness were distributed. Structural equation …

The Impact Of Precipitation As An Adverse Weather Condition On Transportation Construction In South Dakota, Akosua Ofosua Okyere-Addo

Civil and Environmental Engineering Graduate Students Plan B Capstone Projects

This research assessed the impact of precipitation as an adverse weather condition on the transportation construction in South Dakota. A statistical survey of the data from the National Oceanic and Atmospheric Administration was conducted on 554 original stations, which was reduced to 433 stations of them were in South Dakota, then reduced to 170 stations with 30-year data coverage higher than 70 %. Eventually, the data were reduced further for pilot study purposes to a final 10 stations used for analysis in this study. The objective of this study is to examine potential precipitation thresholds towards determination of related adverse …

Assessment Of Regional Bike And Pedestrian Equity In Transportation Plans, Drew Reiter

Graduate Theses, Dissertations, and Problem Reports (ETD)

While community involvement is legally required as a crucial part of the planning process, historically the traditional state-centric approaches to transportation planning have led to the underrepresentation of transportation-disadvantaged individuals in the process and, thus, to automobile-oriented regions. Planning practices for small urban and rural areas especially, which often lack funding and other resources, have generally overlooked accessible pedestrian, bicycling, and multimodal infrastructure and facilities, resulting in underdeveloped and poorly connected networks. I conducted a social equity evaluation of the regional planning, investment prioritization, and programming processes for pedestrian and bicycling infrastructure using the case study of Monongalia County, West …

Understanding Emerging Travel Behavior In New York City, Md Amdad Hossen

Graduate Theses, Dissertations, and Problem Reports (ETD)

Many large cities face significant challenges in providing safe, economical, equitable, reliable, and efficient mobility services. Moreover, mobility service options have been changing unprecedentedly due to the advent of emerging mobility services. Understanding the impacts of emerging mobility services (e.g., for-hire vehicles, bike sharing) on other travel modes (e.g., transit, non-motorized modes, personal car) and evolving travel behavior is critical to promote sustainable modes for urban residents and reduce auto-dependency. New York City (NYC) has been conducting annual mobility survey since 2017 to understand the emerging travel behavior and mode choice characteristics. This dataset presents a unique opportunity for conducting …

Developing A Physics-Informed Deep Learning Paradigm For Traffic State Estimation, Jiheng Huang

Electronic Theses and Dissertations, 2020-2023

The traffic delay due to congestion cost the U.S. economy $ 81 billion in 2022, and on average, each worker lost 97 hours each year during commute due to longer wait time. Traffic management and control strategies that serve as a potent solution to the congestion problem require accurate information on prevailing traffic conditions. However, due to the cost of sensor installation and maintenance, associated sensor noise, and outages, the key traffic metrics are often observed partially, making the task of estimating traffic states (TSE) critical. The challenge of TSE lies in the sparsity of observed traffic data and the …

Spatial Ensemble Distillation Learning Based Real-Time Crash Prediction And Management Framework, Md Rakibul Islam

Graduate Thesis and Dissertation 2023-2024

Real-time crash prediction is a complex task, since there is no existing framework to predict crash likelihood, types, and severity together along with a real-time traffic management strategy. Developing such a framework presents various challenges, including not independent and identically distributed data, imbalanced data, large model size, high computational cost, missing data, sensitivity vs. false alarm rate (FAR) trade-offs, estimation of traffic restoration time after crash occurrence, and real-world deployment strategy. A novel spatial ensemble distillation learning modeling technique is proposed to address these challenges. First, large-scale real-time data were used to develop a crash likelihood prediction model. Second, the …

Safety Considerations For Setting Variable Speed Limits On Freeways, Md Tarek Hasan

Graduate Thesis and Dissertation 2023-2024

This thesis focuses on evaluating the appropriate speed at which vehicles should travel under different traffic conditions on freeways and its impact on crash frequency. The common belief is that the lower speed results in fewer crashes as reduced speed provides drivers with more time to react effectively and avoid collisions. However, this perspective overlooks the interplay among traffic speed, average spacing between consecutive vehicles, and the distance available for stopping a vehicle. Hence, we propose a safety parameter termed ‘Safety Correlate' (SCORE), which is defined as the proportion of average spacing relative to the stopping distance. To determine the …

Modeling Individual Activity And Mobility Behavior And Assessing Ridesharing Impacts Using Emerging Data Sources, Jiechao Zhang

Electronic Theses and Dissertations, 2020-2023

Predicting individual mobility behavior is one of the major steps of transportation planning models. Accurate prediction of individual mobility behavior will be beneficial for transportation planning. Although previous studies have used different data sources to model individual mobility behaviors, they have several limitations such as the lack of complete mobility sequences and travel mode information, limiting our ability to accurately predict individual movements. In recent years, the emergence of GPS-based floating car data (FCD) and on-demand ride-hailing service platforms can provide innovative data sources to understand and model individual mobility behavior. Compared to the previously used data sources such as …

Stochastic Optimization To Reduce Aircraft Taxi-In Time At Igia, New Delhi, Rajib Das, Saileswar Ghosh, Rajendra Desai, Pijus Kanti Bhuin, Stuti Agarwal

International Journal of Aviation, Aeronautics, and Aerospace

Since there is an uncertainty in the arrival times of flights, pre-scheduled allocation of runways and stands and the subsequent first-come-first-served treatment results in a sub-optimal allocation of runways and stands, this is the prime reason for the unusual delays in taxi-in times at IGIA, New Delhi.

We simulated the arrival pattern of aircraft and utilized stochastic optimization to arrive at the best runway-stands allocation for a day. Optimization is done using a GRG Non-Linear algorithm in the Frontline Systems Analytic Solver platform. We applied this model to eight representative scenarios of two different days. Our results show that without …

Clustering States To Improve The Strategic Highway Safety Plan, Victoria Cambron

Theses and Dissertations--Civil Engineering

Each update to a Strategic Highway Safety Plan (SHSP) can require a large amount of time, resources, and funding. From the requirements in U.S.C.148(a)(13)(E-F), in the SHSP update process states must consider the results of other transportation planning processes and develop a list of strategies to reduce or eliminate fatal and serious injury crashes (United States, 2023). To fulfill these requirements more efficiently and to gain the largest amount of benefit from said research, this thesis asks the question: how do we select other state transportation plans to study for ideas on improving our own SHSP? In this thesis, a …