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Relevant bibliographies by topics / Crash severity analysis

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Journal articles
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Book chapters
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Academic literature on the topic 'Crash severity analysis'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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Journal articles on the topic "Crash severity analysis"

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Wu, Peijie, Xianghai Meng, Li Song, and Wenze Zuo. "Crash Risk Evaluation and Crash Severity Pattern Analysis for Different Types of Urban Junctions: Fault Tree Analysis and Association Rules Approaches." Transportation Research Record: Journal of the Transportation Research Board 2673, no. 1 (2019): 403–16. http://dx.doi.org/10.1177/0361198118822817.

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Urban junctions usually present significant safety concerns, and the majority of all crashes in urban areas occur in or near junctions. Factors contributing to crash severity at junctions have been explored, but crash risk levels and crash severity patterns of different junction types have hardly been investigated. In order to fill this gap, this study analyzed the safety performance of six junction types and the factors contributing to crash severity, in order to assist city transportation authorities to implement effective countermeasures. Fault tree analysis (FTA) was applied for the risk e

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Komol, Md Mostafizur Rahman, Md Mahmudul Hasan, Mohammed Elhenawy, Shamsunnahar Yasmin, Mahmoud Masoud, and Andry Rakotonirainy. "Crash severity analysis of vulnerable road users using machine learning." PLOS ONE 16, no. 8 (2021): e0255828. http://dx.doi.org/10.1371/journal.pone.0255828.

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Road crash fatality is a universal problem of the transportation system. A massive death toll caused annually due to road crash incidents, and among them, vulnerable road users (VRU) are endangered with high crash severity. This paper focuses on employing machine learning-based classification approaches for modelling injury severity of vulnerable road users—pedestrian, bicyclist, and motorcyclist. Specifically, this study aims to analyse critical features associated with different VRU groups—for pedestrian, bicyclist, motorcyclist and all VRU groups together. The critical factor of crash sever

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Wei, Fulu, Danping Dong, Pan Liu, Yongqing Guo, Zhenyu Wang, and Qingyin Li. "Quarterly Instability Analysis of Injury Severities in Truck Crashes." Sustainability 14, no. 21 (2022): 14055. http://dx.doi.org/10.3390/su142114055.

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The impact of trucks on road traffic safety has been extensively studied, but the factors influencing truck crash injury severity have not yet been examined from the quarterly perspective. Crash data for Shandong Province in China for 10 years (2012–2021) were reviewed to investigate the transferability of the determinants of the severity of truck crash injuries in four quarters. Three injury severity levels were considered and a random parameters logit model (RPL) considering the heterogeneity of means and variances was constructed to assess the factors affecting the severity of crash injury.

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Billah, Khondoker, Qasim Adegbite, Hatim O. Sharif, Samer Dessouky, and Lauren Simcic. "Analysis of Intersection Traffic Safety in the City of San Antonio, 2013–2017." Sustainability 13, no. 9 (2021): 5296. http://dx.doi.org/10.3390/su13095296.

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An understanding of the contributing factors to severe intersection crashes is crucial for developing countermeasures to reduce crash numbers and severity at high-risk crash locations. This study examined the variables affecting crash incidence and crash severity at intersections in San Antonio over a five-year period (2013–2017) and identified high-risk locations based on crash frequency and injury severity using data from the Texas Crash Record and Information System database. Bivariate analysis and binary logistic regression, along with respective odds ratios, were used to identify the most

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Song, Xiuguang, Jianqing Wu, Hongbo Zhang, and Rendong Pi. "Analysis of Crash Severity for Hazard Material Transportation Using Highway Safety Information System Data." SAGE Open 10, no. 3 (2020): 215824402093992. http://dx.doi.org/10.1177/2158244020939924.

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Crash severity, as a major concern in the routing and scheduling of hazardous material shipments, has caused great loss of lives and property damage every year. Although abundant studies have been conducted to identify the relationship between different factors on crash severity, the analysis of the severity of hazard material transportation (HMT) crashes is very limited. Factors including road, vehicle, driver, and environment are not well considered in previous studies. This article analyzed the influence of various factors on HMT crash severity using Highway Safety Information System data.

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Champahom, Thanapong, Sajjakaj Jomnonkwao, Chinnakrit Banyong, Watanya Nambulee, Ampol Karoonsoontawong, and Vatanavongs Ratanavaraha. "Analysis of Crash Frequency and Crash Severity in Thailand: Hierarchical Structure Models Approach." Sustainability 13, no. 18 (2021): 10086. http://dx.doi.org/10.3390/su131810086.

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Currently, research on the development of crash models in terms of crash frequency on road segments and crash severity applies the principles of spatial analysis and heterogeneity due to the methods’ suitability compared with traditional models. This study focuses on crash severity and frequency in Thailand. Moreover, this study aims to understand crash frequency and fatality. The result of the intra-class correlation coefficient found that the spatial approach should analyze the data. The crash frequency model’s best fit is a spatial zero-inflated negative binomial model (SZINB). The results

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Dissanayake, Sunanda, and John Lu. "Analysis of Severity of Young Driver Crashes: Sequential Binary Logistic Regression Modeling." Transportation Research Record: Journal of the Transportation Research Board 1784, no. 1 (2002): 108–14. http://dx.doi.org/10.3141/1784-14.

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Young drivers have the highest fatality involvement rates of any driver age group within the United States driving population. They also experience a higher percentage of single-vehicle crashes compared with others. When looking at the methods of improving this alarming death rate of young drivers, it is important to identify the determinants of higher crash and injury severity. With that intention, the study developed, using the Florida Traffic Crash Database, a set of sequential binary logistic regression models to predict the crash severity outcome of single-vehicle fixed-object crashes inv

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Lee, Myungwoo, and Aemal J. Khattak. "Case Study of Crash Severity Spatial Pattern Identification in Hot Spot Analysis." Transportation Research Record: Journal of the Transportation Research Board 2673, no. 9 (2019): 684–95. http://dx.doi.org/10.1177/0361198119845367.

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Traffic crash hot spot analyses allow identification of roadway segments that may be of safety concern. Understanding geographic patterns of existing motor vehicle crashes is one of the primary steps for geostatistical-based hot spot analysis. Much of the current literature, however, has not paid particular attention to differentiating among cluster types based on crash severity levels. This study aims at building a framework for identifying significant spatial clustering patterns characterized by crash severity and analyzing identified clusters quantitatively. A case study using an integrated

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Sharafeldin, Mostafa, Ahmed Farid, and Khaled Ksaibati. "Injury Severity Analysis of Rear-End Crashes at Signalized Intersections." Sustainability 14, no. 21 (2022): 13858. http://dx.doi.org/10.3390/su142113858.

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Signalized intersections are common hotspots for rear-end crashes, causing severe injuries and property damage. Despite recent attempts to determine the contributing causes to injury severity in this crash type, the frequency of severe rear-end crashes is still significant. Therefore, exploring commonly omitted potential risk factors is essential to proper detection of contributing factors to these crashes and planning appropriate countermeasures. This research incorporated the examination of intersection crash data in Wyoming to examine injury severity risk factors in this crash type. The stu

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Zhou, Bei, Xinfen Zhang, Shengrui Zhang, Zongzhi Li, and Xin Liu. "Analysis of Factors Affecting Real-Time Ridesharing Vehicle Crash Severity." Sustainability 11, no. 12 (2019): 3334. http://dx.doi.org/10.3390/su11123334.

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The popular real-time ridesharing service has promoted social and environmental sustainability in various ways. Meanwhile, it also brings some traffic safety concerns. This paper aims to analyze factors affecting real-time ridesharing vehicle crash severity based on the classification and regression tree (CART) model. The Chicago police-reported crash data from January to December 2018 is collected. Crash severity in the original dataset is highly imbalanced: only 60 out of 2624 crashes are severe injury crashes. To fix the data imbalance problem, a hybrid data preprocessing approach which com

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Dissertations / Theses on the topic "Crash severity analysis"

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Alfallaj, Ibrahim Saleh. "Analysis of Crash Location and Crash Severity Related to Work Zones in Ohio." University of Dayton / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1406912337.

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Dias, Ishani Madurangi. "Work zone crash analysis and modeling to identify factors associated with crash severity and frequency." Diss., Kansas State University, 2015. http://hdl.handle.net/2097/20517.

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Doctor of Philosophy<br>Civil Engineering<br>Sunanda Dissanayake<br>Safe and efficient flow of traffic through work zones must be established by improving work zone conditions. Therefore, identifying the factors associated with the severity and the frequency of work zone crashes is important. According to current statistics from the Federal Highway Administration, 2,372 fatalities were associated with motor vehicle traffic crashes in work zones in the United States during the four years from 2010 to 2013. From 2002 to 2014, an average of 1,612 work zone crashes occurred in Kansas each year, ma

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Nevarez-Pagan, Alexis. "SEVERITY ANALYSIS OF DRIVER CRASH INVOLVEMENTS ON MULTILANE HIGH SPEED ARTERIAL CORRIDORS." Master's thesis, University of Central Florida, 2008. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/3478.

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Arterial roads constitute the majority of the centerline miles of the Florida State Highway System. Severe injury involvements on these roads account for a quarter of the total severe injuries reported statewide. This research focuses on driver injury severity analysis of statewide multilane high speed arterials using crash data for the years 2002 to 2004. The first goal is to test different ways of analyzing crash data (by road entity and crash types) and find the best method of driver injury severity analysis. A second goal is to find driver, vehicle, road and environment related factors tha

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Seat, Conor Judd. "Crash Severity Distributions for Life-Cycle Benefit-Cost Analysis of Safety-Related Improvements on Utah Roadways." BYU ScholarsArchive, 2018. https://scholarsarchive.byu.edu/etd/6875.

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The Utah Department of Transportation developed life-cycle benefit-cost analysis spreadsheets that allow engineers and analysts to evaluate multiple safety countermeasures. The spreadsheets have included the functionality to evaluate a roadway based on the 11 facility types from the Highway Safety Manual (HSM) with the use of crash severity distributions. The HSM suggests that local agencies develop crash severity distributions based on their local crash data. The Department of Civil and Environmental Engineering at Brigham Young University worked with the Statistics Department to develop cras

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Chen, Shin Huey. "Mining patterns and factors contributing to crash severity on road curves." Thesis, Queensland University of Technology, 2010. https://eprints.qut.edu.au/31711/1/Shin_Chen_Citation.pdf.

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Road curves are an important feature of road infrastructure and many serious crashes occur on road curves. In Queensland, the number of fatalities is twice as many on curves as that on straight roads. Therefore, there is a need to reduce drivers’ exposure to crash risk on road curves. Road crashes in Australia and in the Organisation for Economic Co-operation and Development(OECD) have plateaued in the last five years (2004 to 2008) and the road safety community is desperately seeking innovative interventions to reduce the number of crashes. However, designing an innovative and effective inter

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EKRAM, AL-AHAD. "REDUCED VISIBILITY RELATED CRASHES IN FLORIDA: CRASH CHARACTERISTICS, SPATIAL ANALYSIS AND INJURY SEVERITY." Master's thesis, University of Central Florida, 2009. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/4306.

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Roadway crashes related to vision obstruction due to fog/smoke (FS) conditions constitute a challenge for traffic engineers. Previous research efforts mostly concentrated on the snow and rain related crashes. Statistics show that Florida is among the top three states in terms of crashes due to vision obstruction by FS. This research culminated in a comprehensive study of fog and smoke related crashes in the state of Florida. The analysis took into account the crashes that occurred between 2003 and 2007 on Florida state roads. Spatial analysis and injury severity analysis have been conducted an

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Ekram, Al-Ahad Mohammad Yaseen. "Reduced visibility related crashes in Florida crash characteristics, spatial analysis and injury severity /." Orlando, Fla. : University of Central Florida, 2009. http://purl.fcla.edu/fcla/etd/CFE0002903.

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Sameera, Chathuranga Koththigoda Kankanamge. "Crash analysis and road user survey to identify issues and countermeasures for older drivers in Kansas." Thesis, Kansas State University, 2017. http://hdl.handle.net/2097/35452.

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Master of Science<br>Department of Civil Engineering<br>Sunanda Dissanayake<br>The percentage of the U.S. population aged 65 years or older is increasing rapidly. Statistics also show this age group was 14.9 percent of the population in 2015 and is expected to be 20.7 to 21.4 percent for the years 2030–2050. Kansas has similar statewide trends with its aging population. Therefore, identifying issues, concerns, and factors associated with severity of older-driver crashes in Kansas is necessary. The Kansas Crash Analysis and Reporting System (KCARS) database maintained by Kansas Department of Tr

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Mohagheghi, Ali. "Effect of Pavement Condition on Traffic Crash Frequency and Severity in Virginia." Thesis, Virginia Tech, 2020. http://hdl.handle.net/10919/100129.

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Previous studies show that pavement condition properties are significant factors to enhance road safety and riding experience, and pavements with low quality might have inadequate performance in terms of safety and riding experience. Pavement Management System (PMS) databases include pavement properties for each segment of the road collected by the agencies. Understanding the impact of road characteristics on crash frequency is a key step to prevent crashes. Whereas other studies analyzed the effect of different characteristics such as International Roughness Index (IRI), Rutting Depth (RD), A

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Ulfarsson, Gudmundur Freyr. "Injury severity analysis for car, pickup, sport utility vehicle and minivan drivers : male and female differences /." Thesis, Connect to this title online; UW restricted, 2001. http://hdl.handle.net/1773/10200.

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Book chapters on the topic "Crash severity analysis"

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Xu, Cheng, and Xiaonan Yu. "Modeling and Analysis of Crash Severity for Electric Bicycle." In Intelligent Interactive Multimedia Systems and Services. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-92231-7_38.

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Jiang, Li, Chenggang Duan, Zhongqiu Li, Xianyu Wu, Yanli Jiao, and Yusen Chen. "Analysis of freeway traffic crash severity considering time differences." In Advances in Urban Engineering and Management Science Volume 1. CRC Press, 2022. http://dx.doi.org/10.1201/9781003305026-82.

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Barhoumi, Oumaima, Mohamed H. Zaki, and Sofiène Tahar. "Formal Analysis of Vehicular Crash Severity Using KeYmaera X." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-69042-6_1.

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Cappelli, Giuseppe, Sofia Nardoianni, Mauro D’Apuzzo, and Vittorio Nicolosi. "Pedestrian Crash Severity Prediction and Contributory Factors Analysis by Using Machine Learning Methods." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-97657-5_1.

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Noorsumar, Gulshan, Kjell G. Robbersmyr, Svitlana Rogovchenko, and Dmitry Vysochinskiy. "An Overview of Data Based Predictive Modeling Techniques Used in Analysis of Vehicle Crash Severity." In Communications in Computer and Information Science. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-10525-8_28.

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Pirdavani, Ali, Tom Bellemans, Tom Brijs, Bruno Kochan, and Geert Wets. "Traffic Safety Implications of Travel Demand Management Policies." In Transportation Systems and Engineering. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-8473-7.ch055.

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Travel Demand Management (TDM) consists of a variety of policy measures that affect the transportation system's effectiveness by changing travel behavior. Although the primary objective to implement such TDM strategies is not to improve traffic safety, their impact on traffic safety should not be neglected. The main purpose of this study is to investigate differences in the traffic safety consequences of two TDM scenarios: a fuel-cost increase scenario (i.e. increasing the fuel price by 20%) and a teleworking scenario (i.e. 5% of the working population engages in teleworking). Since TDM strate

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Pirdavani, Ali, Tom Bellemans, Tom Brijs, Bruno Kochan, and Geert Wets. "Traffic Safety Implications of Travel Demand Management Policies." In Data Science and Simulation in Transportation Research. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-4920-0.ch007.

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Travel Demand Management (TDM) consists of a variety of policy measures that affect the transportation system’s effectiveness by changing travel behavior. Although the primary objective to implement such TDM strategies is not to improve traffic safety, their impact on traffic safety should not be neglected. The main purpose of this study is to investigate differences in the traffic safety consequences of two TDM scenarios: a fuel-cost increase scenario (i.e. increasing the fuel price by 20%) and a teleworking scenario (i.e. 5% of the working population engages in teleworking). Since TDM strate

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Lord, Dominique, Xiao Qin, and Srinivas R. Geedipally. "Crash-severity modeling." In Highway Safety Analytics and Modeling. Elsevier, 2021. http://dx.doi.org/10.1016/b978-0-12-816818-9.00005-6.

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"Summary of crash-frequency and crash-severity models in highway safety." In Highway Safety Analytics and Modeling. Elsevier, 2021. http://dx.doi.org/10.1016/b978-0-12-816818-9.15002-4.

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"Neighbourhood Influences on Vehicle-Pedestrian Crash Severity." In Big Data Analytics in Traffic and Transportation Engineering. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7943-4.ch005.

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Socioeconomic factors are known to be contributing factors to vehicle-pedestrian crashes. Although several studies have examined the socioeconomic factors related to the locations of crashes, few studies have considered the socioeconomic factors of the neighbourhoods where road users live in vehicle-pedestrian crash modelling. In vehicle-pedestrian crashes in the Melbourne metropolitan area, 20% of pedestrians, 11% of drivers, and only 6% of both drivers and pedestrians had the same postcode for the crash and residency locations. Therefore, an examination of the influence of socioeconomic fact

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Conference papers on the topic "Crash severity analysis"

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Somvanshi, Shriyank, Rohit Chakraborty, Subasish Das, and Anandi K. Dutta. "Crash Severity Analysis of Child Bicyclists Using Arm-Net and Mambanet." In 2025 IEEE Conference on Artificial Intelligence (CAI). IEEE, 2025. https://doi.org/10.1109/cai64502.2025.00146.

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Murugan, Muthuvel, Ala Tabiei, and Gregory Hiemenz. "Crash Dynamic Model for Rotorcraft Adaptive Seat Energy Absorber Evaluation." In Vertical Flight Society 71st Annual Forum & Technology Display. The Vertical Flight Society, 2015. http://dx.doi.org/10.4050/f-0071-2015-10143.

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This research study focuses on the finite-element based nonlinear dynamic model development and analysis for virtual evaluation of adaptive seat dampers for enhanced occupant protection during vertical crash landings of a helicopter. The current state-of-the-art helicopter crew seat has passive safety mechanisms that are highly limited in their capability to optimally adapt to each type of crash scenario due to variations in both occupant weight and crash severity level. While passive crash energy absorbers work well for a single design condition (50th percentile male occupant and fixed crash

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Hiemenz, Gregory, Muthuvel Murugan, Wei Hu, Jin-Hyeong Yoo, and Norman Wereley. "Fail-Safe Magnetorheological Energy Absorber for a Vertically Stroking Crashworthy Seat Suspension." In Vertical Flight Society 70th Annual Forum & Technology Display. The Vertical Flight Society, 2014. http://dx.doi.org/10.4050/f-0070-2014-9478.

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To mitigate injurious effects caused by crash loads, energy absorbing devices in crew seats are utilized to attenuate energy using a controlled seat stroke. The objective of this project is to develop a fail-safe magnetorheological energy absorber (FSMREA) with magnetic bias and demonstrate its ability in adapting stroking load based on occupant weight and crash severity. A multiple rotary vane structure is adopted to obtain a compact and lightweight FSMREA while maximizing energy absorbing capability required for maximum occupant weights. A design analysis is conducted to optimize a permanent

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Thorbole, Chandrashekhar K., and Stephen A. Batzer. "Occupant Protection via Frontal Crash Testing Analysis." In ASME 2008 International Mechanical Engineering Congress and Exposition. ASMEDC, 2008. http://dx.doi.org/10.1115/imece2008-68658.

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During frontal collisions, two central characteristics that define a vehicle’s crashworthiness are the occupant compartment deceleration magnitude and the level of occupant compartment intrusion. The deceleration severity determines seat belt loading for restrained occupants and the severity of secondary impacts of occupants against interior structures. Occupant compartment intrusion diminishes the survival space and increases the probability of individual occupants receiving worst injuries. Proper evaluation of a vehicle’s crashworthiness requires full scale crash testing as per standards def

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Jin, Yu, Xuesong Wang, and Xiaohong Chen. "Right-Angle Crash Injury Severity Analysis Using Ordered Probability Models." In 2010 International Conference on Intelligent Computation Technology and Automation (ICICTA). IEEE, 2010. http://dx.doi.org/10.1109/icicta.2010.799.

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Griffiths, Harrison, and Mark Paquette. "Snowmobile Pole Crash Tests: Additional Testing and Analysis." In WCX SAE World Congress Experience. SAE International, 2023. http://dx.doi.org/10.4271/2023-01-0626.

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<div class="section abstract"><div class="htmlview paragraph">This paper presents the results of five additional instrumented snowmobile crash tests and the updated findings when combined with the dataset from our previous publication (SAE# 2021-01-0876). This additional work expands on, and aims to better the understanding of, snowmobile collision dynamics and the severity of real-world collisions, given that minimal crash test data exists for snowmobiles compared to passenger vehicles.</div><div class="htmlview paragraph">In the five new tests, the test snowmobile was

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Vanishkorn, Buddhaporn, and Weeriya Supanich. "Crash Severity Classification Prediction and Factors Affecting Analysis of Highway Accidents." In 2022 9th International Conference on Advanced Informatics: Concepts, Theory and Applications (ICAICTA). IEEE, 2022. http://dx.doi.org/10.1109/icaicta56449.2022.9932998.

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Mamlouk, Amal, Ashkan Teymouri, and Masoud Ghodrat Abadi. "Motorcycle Crashes in California: Analysis of Crash Severity and Contributing Factors." In International Conference on Transportation and Development 2024. American Society of Civil Engineers, 2024. http://dx.doi.org/10.1061/9780784485514.015.

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AlRashdi, Majid, and Mustapha Azzouzi. "Data-Driven Approach to Risk Analysis of PDO-Owned Junctions." In SPE Conference at Oman Petroleum & Energy Show. SPE, 2025. https://doi.org/10.2118/224866-ms.

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Abstract This study proposes the enhancement of road junction safety by conducting a risk analysis based on available data (Reactive approach) to recognize locations that could present the most road crash-prone sites with relation to frequency and severity. Accordingly, this study classifies risks at junctions in a comprehensive manner based on MVI (Motor vehicle incident) data from 2020 to 2024 with a view toward ranking the sites for prioritizing those that most need intervention with the best optimization of resources that could ensure more effective improvements related to road casualty re

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Marquez, John Carlo F., Darwin Joseph B. Ronquillo, Noime B. Fernandez, and Venusmar C. Quevedo. "Analysis of Vehicle Crash Injury-Severity in a Superhighway: A Markovian Approach." In 2016 International Conference on Industrial Engineering, Management Science and Application (ICIMSA). IEEE, 2016. http://dx.doi.org/10.1109/icimsa.2016.7503994.

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Reports on the topic "Crash severity analysis"

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Arhin, Stephen, Babin Manandhar, and Adam Gatiba. Influence of Pavement Conditions on Commercial Motor Vehicle Crashes. Mineta Transportation Institute, 2023. http://dx.doi.org/10.31979/mti.2023.2343.

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Commercial motor vehicle (CMV) safety is a major concern in the United States, including the District of Columbia (DC), where CMVs make up 15% of traffic. This research uses a comprehensive approach, combining statistical analysis and machine learning techniques, to investigate the impact of road pavement conditions on CMV accidents. The study integrates traffic crash data from the Traffic Accident Reporting and Analysis Systems Version 2.0 (TARAS2) database with pavement condition data provided by the District Department of Transportation (DDOT). Data spanning from 2016 to 2020 was collected

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Pineda-Mendez, Raul, Qiming Guo, Noshin Ahmad, Mario A. Romero, and Andrew P. Tarko. Incorporating Time-Dependent Data for Proactive Safety Management. Purdue University, 2024. http://dx.doi.org/10.5703/1288284317700.

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This study proposed a risk-based safety management framework to supplement the current crash-based safety management system. The proposed tool considers time-dependent factors (e.g., hourly traffic, speed features, weather conditions, signal controls) to help justify operational measures for safety improvements (e.g., variable message signs, variable speed limits, warnings). These selected temporal factors subsequently were included in the developed sequential logit models; and those models, applied hour by hour, were then used to estimate the crash probability and severity level. Two typical

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Tarko, Andrew P., Qiming Guo, and Raul Pineda-Mendez. Using Emerging and Extraordinary Data Sources to Improve Traffic Safety. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317283.

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The current safety management program in Indiana uses a method based on aggregate crash data for conditions averaged over several-year periods with consideration of only major roadway features. This approach does not analyze the risk of crashes potentially affected by time-dependent conditions such as traffic control, operations, weather and their interaction with road geometry. With the rapid development of data collection techniques, time-dependent data have emerged, some of which have become available for safety management. This project investigated the feasibility of using emerging and exi

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Ahmad, Noshin S., Raul Pineda-Mendez, Fahad Alqahtani, Mario Romero, Jose Thomaz, and Andrew P. Tarko. Effective Design and Operation of Pedestrian Crossings. Purdue University, 2022. http://dx.doi.org/10.5703/1288284317438.

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Pedestrians are vulnerable road users since they are prone to more severe injuries in any vehicular collision. While innovative solutions promise improved pedestrian safety, a careful analysis of local conditions is required before selecting proper corrective measures. This research study had two focuses: (1) methodology to identify roads and areas in Indiana where the frequency and severity of pedestrian collisions are heightened above the acceptable level, and (2) selecting effective countermeasures to mitigate or eliminate safety-critical conditions. Two general methods of identifying speci

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Chierichetti, Maria, Armin Chierichetti, and Fatemeh Davoudi. Design of an Evaluation Plan for Senate Bill 1046. Mineta Transportation Institute, 2022. http://dx.doi.org/10.31979/mti.2021.2209.

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In an effort to understand and decrease alcohol-impaired driving as a primary collision factor In California, the research team designed an evaluation plan for California Senate Bill 1046 and its focus on ignition interlock devices as a sentence for Driving Under Influence offense. This plan will evaluate whether Senate Bill 1046 affected the Driving Under the Influence crash frequency and severity, and whether sociodemographic and geographic factors influence its effectiveness. This report lays the foundation for the evaluation that will be conducted in 2024. The research team conducted a met

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Chierichetti, Maria, Armin Chierichetti, and Fatemeh Davoudi. Design of an Evaluation Plan for Senate Bill 1046. Mineta Transportation Institute, 2022. http://dx.doi.org/10.31979/mti.2022.2209.

Full text

Abstract:

In an effort to understand and decrease alcohol-impaired driving as a primary collision factor In California, the research team designed an evaluation plan for California Senate Bill 1046 and its focus on ignition interlock devices as a sentence for Driving Under Influence offense. This plan will evaluate whether Senate Bill 1046 affected the Driving Under the Influence crash frequency and severity, and whether sociodemographic and geographic factors influence its effectiveness. This report lays the foundation for the evaluation that will be conducted in 2024. The research team conducted a met

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Ukkusuri, Satish, Lu Ling, Tho V. Le, and Wenbo Zhang. Performance of Right-Turn Lane Designs at Intersections. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317277.

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Abstract:

Right-turn lane (RTL) crashes are among the most key contributors to intersection crashes in the US. Different right turn lanes based on their design, traffic volume, and location have varying levels of crash risk. Therefore, engineers and researchers have been looking for alternative ways to improve the safety and operations for right-turn traffic. This study investigates the traffic safety performance of the RTL in Indiana state based on multi-sources, including official crash reports, official database, and field study. To understand the RTL crashes' influencing factors, we introduce a rand

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