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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Quantitative relationships between crash risks and pavement skid resistance

Long, Kan 18 March 2014 (has links)
Faced with continuously increasing maintenance due to aging infrastructure, the Texas Department of Transportation (TxDOT) is evaluating the potential impact of reduced funding on highway safety. The main objective of this thesis is to develop a methodological procedure to identify threshold levels of pavement skid resistance for highways in the context of traffic crashes, assisting TxDOT Administration and engineers in making proper maintenance decisions. As a result, the efficiency and safety of the highway system could be preserved. The scope of this study covers all types of state-maintained highways in Texas. The primary objectives of this thesis include: 1) synthesis of literature; 2) quantification of the relationship between crash risk and pavement skid resistant; 3) determination of critical skid resistant threshold levels; and, 4) benefit cost analysis. A detailed methodology framework was developed and a comprehensive database was generated from four data files containing pavement, geometry, traffic, and crash information to support this research. The impact of skid resistance level on crash risks was proven to be significant based on the results of regression analysis and insights provided by TxDOT experts. The quantitative relationships between crash risk and skid resistance were quantified using the Crash Rate Ratio method. Hierarchical structure grouping was used to categorize the entire network into homogeneous groups based on traffic level, roadway alignment and other factors. Critical skid resistance threshold levels were determined for the whole state as well as for stratified highway groups. Finally, benefit/cost ratio analyses were conducted to evaluate the effectiveness of pavement maintenance treatments to restore or increase skid resistance. / text
2

Risk and burden of bicycle crash injuries in Iowa and nationwide

Hamann, Cara Jo 01 December 2012 (has links)
Increases in bicycling in the United States results in increased exposure to crashes and injuries. This research focuses on the factors involved in bicycle crashes in the United States and the state of Iowa. Data from the U.S. Nationwide Inpatient Sample and the Iowa Department of Transportation were used to address three aims: 1) estimate the burden and examine the outcomes of bicycle crashes resulting in hospitalizations nationwide by motor vehicle involvement, 2) describe how bicycle motor vehicle crashes vary by intersection and non-intersection in Iowa, and 3) identify the impact of on-road bicycle facilities on bicycle-motor vehicle crashes in Iowa. Using the U.S. Nationwide Inpatient Sample, years 2002-2009, the estimated annual burden of injury from bicycle-related hospitalizations equated to a billion dollars in hospital charges, over 100,000 days in the hospital, and over 300 in-hospital deaths. We also found that bicycling crashes involving motor vehicles had more hospital charges, longer stays, and greater odds of in-hospital death. We also used the Iowa Department of Transportation crash database, 2001 to 2010, to examine risk factors for bicycle-motor vehicle (BMV) crash locations. We found that BMV crashes involve risk factors at person, crash, environment, and population levels and these vary by intersection and non-intersection. Compared to intersections, non-intersection crashes were more likely to involve young bicyclists (0-9 years), locations outside city limits, with driver vision obscured, reduced lighting on the roadway and less likely involve failure to yield right of way. Finally, we conducted a case site-control site study in Iowa, using crash data from 2007 to 2010 to investigate the impact of pavement markings (bicycle lanes and shared lane arrows) and bicycle-specific signage on crash risk. Our results suggest that bicycle facilities are protective against crashes, with the most protective being the combination of both pavement markings and signage, followed by pavement markings alone, and then signage alone. This project shows that bicycling carries a large burden of injury in the United States and that there are many contributing factors to bicycle crashes. It also provides evidence suggesting that infrastructure changes can decrease crash occurrence and there opportunities to intervene at other levels (e.g., person factors) to have an even greater impact overall.
3

The Effectiveness of Graduated Driver Licensing in the United States

Thor, Craig Phillip 26 August 2010 (has links)
This thesis has evaluated the effectiveness of GDL programs both in New Jersey and across the United States using several metrics. The New Jersey GDL program was analyzed because it is considered one of the most stringent programs in the country. It was found that GDL indeed reduces the per capita rate of crashes for teen drivers in New Jersey. However, no statistical difference was seen in the rate of fatalities in teen driver crashes. The per capita rate of violations for 16 and 17 year old drivers was lower after GDL, but the rate of point-carrying violations increased for 19 and 20 year old drivers who were licensed under GDL. The September, 2008 directive by the New Jersey Attorney General banning plea-agreements for teens significantly reduced the rate of violations further for 16 and 17 year old GDL drivers. The factors that led to teen crashes did not change in the United States after GDL. Teen drivers are still prone to distractions and inappropriate behavior while driving. Teen drivers also have higher rates of control loss and road departure crashes when compared to adults. Finally, it was found changes in the number teen driver crashes and fatalities are associated with similar changes in travel exposure. Teen crashes and fatalities have dropped with the implementation of GDL but teen VMT has also dropped. Graduated driver's licensing did not change the reasons for teen driver crashes. Also, it is likely that any reductions in the number of teen crashes or fatalities are associated with reductions in exposure and not changes in teen driver behavior. / Ph. D.
4

Characterizing Human Driving Behavior Through an Analysis of Naturalistic Driving Data

Ali, Gibran 23 January 2023 (has links)
Reducing the number of motor vehicle crashes is one of the major challenges of our times. Current strategies to reduce crash rates can be divided into two groups: identifying risky driving behavior prior to crashes to proactively reduce risk and automating some or all human driving tasks using intelligent vehicle systems such as Advanced Driver Assistance Systems (ADAS) and Automated Driving Systems (ADS). For successful implementation of either strategy, a deeper understanding of human driving behavior is essential. This dissertation characterizes human driving behavior through an analysis of a large naturalistic driving study and offers four major contributions to the field. First, it describes the creation of the Surface Accelerations Reference, a catalog of all longitudinal and lateral surface accelerations found in the Second Strategic Highway Research Program Naturalistic Driving Study (SHRP 2 NDS). SHRP 2 NDS is the largest naturalistic driving study in the world with 34.5 million miles of data collected from over 3,500 participants driving in six separate locations across the United States. An algorithm was developed to detect each acceleration epoch and summarize key parameters, such as the mean and maxima of the magnitude, roadway properties, and driver inputs. A statistical profile was then created for each participant describing their acceleration behavior in terms of rates, percentiles, and the magnitude of the strongest event in a distance threshold. The second major contribution is quantifying the effect of several factors that influence acceleration behavior. The rate of mild to harsh acceleration epochs was modeled using negative binomial distribution-based generalized linear mixed effect models. Roadway speed category, driver age, driver gender, vehicle class, and location were used as fixed effects, and a unique participant identifier was as the random effect. Subcategories of each fixed effect were compared using incident rate ratios. Roadway speed category was found to have the largest effect on acceleration behavior, followed by driver age, vehicle class, and location. This methodology accounts for the major influences while simultaneously ensuring that the comparisons are meaningful and not driven by coincidences of data collection. The third major contribution is the extraction of acceleration-based long-term driving styles and determining their relationship to crash risk. Rates of acceleration epochs experienced on ≤ 30 mph roadways were used to cluster the participants into four groups. The metrics to cluster the participants were chosen so that they represent long-term driving style and not short-term driving behavior being influenced by transient traffic and environmental conditions. The driving style was also correlated to driving risk by comparing the crash rates, near-crash rates, and speeding behavior of the participants. Finally, the fourth major contribution is the creation of a set of interactive analytics tools that facilitate quick characterization of human driving during regular as well as safety-critical driving events. These tools enable users to answer a large and open-ended set of research questions that aid in the development of ADAS and ADS components. These analytics tools facilitate the exploration of queries such as how often do certain scenarios occur in naturalistic driving, what is the distribution of key metrics during a particular scenario, or what is the relative composition of various crash datasets? Novel visual analytics principles such as video on demand have been implemented to accelerate the sense-making loop for the user. / Doctor of Philosophy / Naturalistic driving studies collect data from participants driving their own vehicles over an extended period. These studies offer unique perspectives in understanding driving behavior by capturing routine and rare events. Two important aspects of understanding driving behavior are longitudinal acceleration, which indicates how people speed up or slow down, and lateral acceleration, which shows how people take turns. In this dissertation, millions of miles of driving data were analyzed to create an open access acceleration database representing the driving profiles of thousands of drivers. These profiles are useful to understand and model human driving behavior, which is essential for developing advanced vehicle systems and smart roadway infrastructure. The acceleration database was used to quantify the effect of various roadway properties, driver demographics, vehicle classification, and environmental factors on acceleration driving behavior. The acceleration database was also used to define distinct driving styles and their relationship to driving risk. A set of interactive analytics tools was developed that leverage naturalistic driving data by enabling users to ask a large set of questions and facilitate open-ended analysis. Novel visualization and data presentation techniques were developed to help users extract deeper insight about driving behavior faster than previously exiting tools. These tools will aid in the development and testing of automated driving systems and advanced driver assistance systems.
5

Young Drivers and Their Passengers : Crash Risk and Group Processes / Unga förare och deras passagerare : Olycksrisk och grupproceser

Engström, Inger January 2008 (has links)
The overall aim was to elucidate the effects of vehicle passengers on young drivers. This generated two specific aims and four papers. The first aim was to investigate the crash risk for young drivers with passengers and to establish whether such accidents involve any special circumstances compared to those that occur without passengers. This goal was achieved by analysing accident and exposure data from two registers. The second objective was to analyse the group processes that develop between four young men in a vehicle and to ascertain how those interactions affect driving behaviour. Those issues were addressed by performing an observational study of twelve young men driving an instrumented vehicle in real traffic with and without passengers. The interactions between the vehicle occupants were video and audio recorded, and the driving behaviour was registered in various ways. The results show that drivers with passengers have a lower crash risk compared to those driving alone regardless of the driver’s age, although this effect is weaker for young drivers (especially males) than for other age groups. Compared to driving alone, driving with passengers for young drivers is more extensively associated with single-vehicle crashes that occur at night, on weekends, and in rural areas on roads with higher speed limits, and it leads to more severe outcomes. It has also been found that the passengers sometimes try to induce the young drivers to act in either safer or more dangerous ways, although the drivers very often resist urging and coaxing from their passengers. Cohesion is another factor that affect the driver-passenger group: a high level of cohesion, especially task cohesion, is associated with a low number of unsafe driving actions. Consequently, it seems that the presence of passengers is not enough to ensure safe driving—substantial group cohesion is also necessary for such behaviour. / Det övergripande syftet med denna avhandling var att studera passagerares effekt på unga förare, vilket genererade två delsyften och fyra delarbeten. Det första delsyftet var att undersöka olycksrisken för unga förare med passagerare och att ta reda på om dessa olyckor skedde under några speciella omständigheter. För att få svar på syftet gjordes en registerstudie där olycks- och exponeringsdata från två olika register analyserades. Det andra delsyftet var att analysera de grupprocesser som utvecklas mellan fyra unga män i en bil och att studera hur dessa interaktioner påverkar körbeteendet. Detta undersöktes med en observationsstudie där tolv unga män fick köra en instrumenterad bil i verklig trafik, både med och utan passagerare. Interaktionerna som uppstod i bilen spelades in med hjälp av videokameror och mikrofoner och körbeteendet registrerades med olika mätinstrument. Resultatet visar att förare med passagerare har en lägre olycksrisk jämfört med förare utan passagerare oavsett förarens ålder. Denna effekt är inte lika stark för unga förare (speciellt inte unga män) som den är för övriga åldersgrupper. Unga förares olyckor med passagerare är också mer vanligt förekommande under speciella omständigheter. Jämfört med olyckor utan passagerare sker de i större utsträckning under nattetid, under veckoslut, i tätbebyggt område, på vägar med hög hastighetsbegränsning, de är oftare singelolyckor och de får mer allvarliga konsekvenser. Vidare visar resultaten att passagerare ibland, på olika sätt, försöker få den unga föraren att köra på ett annat sätt än vad de gör vilket kan betyda ett säkrare eller ett mer trafikfarligt beteende. Det verkar dock som att förarna oftast står emot dessa övertalningsförsök och förolämpningar. En annan faktor som påverkar gruppen är kohesion: en hög grad av kohesion, speciellt uppgiftskohesion, visar sig leda till färre trafikfarliga körbeteenden. Med andra ord verkar det som att blotta närvaron av passagerare inte räcker för att få ett säkert körbeteende; det behövs även en betydande grad av kohesion.
6

Essays on Exchange Rate Risk

Rafferty, Barry John January 2012 (has links)
<p>This dissertation is a collection of papers with the unifying objective being to better understand crash risk in foreign exchange markets. I investigate how exposure to the risk of currency crashes is able to provide a unified rationalization of the returns of various sorted currency portfolios.</p><p>In the first chapter, I identify an aggregate global currency skewness risk factor, which I denote SKEW. Currency portfolios that have higher average excess returns covary more positively with this risk factor. They suffer losses in times when high interest rate investment currencies have a greater tendency to depreciate sharply as a group relative to low interest rate funding currencies. Consequently, they earn higher average excess returns as reward for exposure to this risk. I create three sets of sorted currency portfolios reflecting three distinct sources of variation in average excess currency returns. The first set sorts currencies based on interest rate differentials. The second set sorts currencies based on currency momentum. The third set sorts currencies based on currency undervaluedness relative to purchasing power power parity (PPP) implied exchange rates. I find that differences in exposure to the global currency skewness risk factor can explain the systematic variation in average excess currency returns within all three groups of portfolios much better than existing foreign exchange risk factors in the literature.</p><p>In the second chapter, I build on the first chapter by studying the extent to which currency crash risk is predictable or unpredictable and whether the pricing power of aggregate currency skewness, uncovered in the first chapter, is due to unpredictable or predictable crash risk. Focusing on currency crash risk proxied using realized currency skewness at both the individual currency level and at the aggregate level using the SKEW risk factor introduced in the first chapter, I investigate whether either form of crash risk is predictable using only past information about crash risk. In particular, I use past information on both individual currency level and aggregate level measures based on both lagged realized currency skewness and lagged option implied risk neutral skewness. I find evidence that there is not much predictability at the individual country level or at the aggregate level over the full sample period considered. However, there is some evidence of predictability at the aggregate level since 1999, and especially so when option implied risk neutral skewness measures are used. Additionally, I use the predictions of SKEW and conduct asset pricing similar to that in chapter 1 using predicted and unpredicted SKEW to see whether its pricing power comes from predictable or unpredictable components. I find evidence that it is unpredictable currency crash risk that is very important, as the asset pricing results are largely identical when either SKEW or SKEW forecast errors are used. and whether the pricing power of</p> / Dissertation
7

Estimating Pedestrian Crashes at Urban Signalized Intersections

Kennedy, Jason Forrest 07 January 2009 (has links)
Crash prediction models are used to estimate the number of crashes using a set of explanatory variables. The highway safety community has used modeling techniques to predict vehicle-to-vehicle crashes for decades. Specifically, generalized linear models (GLMs) are commonly used because they can model non-linear count data such as motor vehicle crashes. Regression models such as the Poisson, Zero-inflated Poisson (ZIP), and the Negative Binomial are commonly used to model crashes. Until recently very little research has been conducted on crash prediction modeling for pedestrian-motor vehicle crashes. This thesis considers several candidate crash prediction models using a variety of explanatory variables and regression functions. The goal of this thesis is to develop a pedestrian crash prediction model to contribute to the field of pedestrian safety prediction research. Additionally, the thesis contributes to the work done by the Federal Highway Administration to estimate pedestrian exposure in urban areas. The results of the crash prediction analyses indicate the pedestrian-vehicle crash model is similar to models from previous work. An analysis of two pedestrian volume estimation methods indicates that using a scaling technique will produce volume estimates highly correlated to observed volumes. The ratio of crash and exposure estimates gives a crash rate estimation that is useful for traffic engineers and transportation policy makers to evaluate pedestrian safety at signalized intersections in an urban environment. / Master of Science
8

Reducing Highway Crashes with Network-Level Continuous Friction Measurements

McCarthy, Ross James 16 December 2019 (has links)
When a vehicle changes speed or direction, the interaction between the contacting surfaces of the tire and the pavement form frictional forces. The pavement's contribution to tire-pavement friction is referred to as skid resistance and is provided by pavement microtexture and macrotexture. The amount of skid resistance depreciates over time due to the polishing action of traffic, and for this reason, the skid resistance should be monitored with friction testing equipment. The equipment use one of four test methods to measure network-level friction: ASTM E 274 locked-wheel, ASTM E 2340 fixed-slip technique, ASTM E 1859 variable-slip technique, and sideways-force coefficient (SFC) technique. The fixed-slip, variable-slip, and SFC techniques are used in continuous friction measurement equipment (CFME). In the United States, skid resistance is traditionally measured with a locked-wheel skid trailer (LWST) equipped with either a ASTM E 501 ribbed or a ASTM E 524 smooth 'no tread' tire. Since the LWST fully-locks the test wheel to measure friction, it is only capable of spot testing tangent sections of roadway. By contrast, the remaining three test methods never lock their test wheels and, therefore, they can collect friction measurements continuously on all types of roadway, including curves and t-intersections. For this reason, highway agencies in the U.S. are interested in transitioning from using a LWST to using one of three continuous methods. This dissertation explores the use of continuous friction measurements, collected with a Sideways-force Coefficient Routine Investigation Machine (SCRIM), in a systemic highway safety management approach to reduce crashes that result in fatalities, injuries, and property damage only. The dissertation presents four manuscripts. In the first manuscript, orthogonal regression is used to develop models for converting between friction measurements with a SCRIM and LWST with both a ribbed and smooth tire. The results indicated that the LWST smooth tire measured friction with greater sensitivity to changes in macrotexture than the SCRIM and LWST ribbed tire. The SCRIM also had greater correlation to the LWST ribbed tire than the LWST smooth tire. The second investigation establishes the relationship between friction measured with a SCRIM and the risk of crashes on dry and wet pavement surfaces. The results of this showed that increasing friction decreases both dry and wet pavement crashes; however, friction was found to have greater impact in wet conditions. Due to the negative relationship between friction and crashes, eventually there will be a point where further losses in friction can result in a rapid increase in crash risk. This point can be identified with a friction threshold known as an investigatory level. When measured friction is at or below the investigatory level, an in- and out-of-field investigation is required to determine whether a countermeasure is necessary to improve safety. The third manuscript proposes a statistical regression approach for determining investigatory levels. Since this approach relies on statistical regression, the results are objective and should be the same for any analyst reviewing the same data. The investigatory levels can be used in a systemic approach that identifies locations where crashes can be reduced based on a benefit-cost analysis of surface treatments. Last, the forth manuscript demonstrates a benefit-cost analysis that selects surface treatments based on crash reductions predicted with continuous friction measurements. / Doctor of Philosophy / When a vehicle changes speed or direction, the tires slide over the pavement surface, creating friction that produces the traction that is necessary for the vehicle to change speed or direction. Friction can diminish when water, dust, and other contaminants are present, or over time due to traffic. Over time, the loss in friction causes the risk of a crash to increase. However, this relationship is non-linear, and therefore, eventually there will be a point where further losses in friction can cause a rapid increase in crash risk. For this reason, the pavement friction is monitored with equipment that slides a rubber tire with known properties over a pavement surface. Since friction is lowest when the pavement is wet, the equipment applies a film of water to the surface directly in front of the sliding tire. There are different types of equipment used to measure friction. The physical designs of the equipment and their method of testing may be different. For example, some devices measure friction by sliding a wheel that is angled away from the path of the vehicle, while others slide a wheel that is aligned with the vehicle but reduced in speed compared to the vehicle. The factors that make the equipment different can affect the quantity of friction that is measured, as well as the timing between each consecutive measurement. The advantages that some equipment offers can entice highway agencies to transition from a pre-existing system to a more advantageous system. Before transitioning, the measurements from the two types of equipment should be compared directly to determine their correlation. Statistical regression can also be used to develop models for converting the measurements from the new equipment to the units of the current, which can help engineers interpret the measurements, and to integrate them into an existing database. The presence of water on a pavement surface can result in a temporary loss of friction that can increase the risk of a crash beyond the normal, dry pavement state. This does not guarantee that dry pavements have sufficient friction as is suggested in most literature. In this dissertation, the relationship between friction and the risk of a crash on dry and wet pavements are evaluated together. The results show that increasing friction can decrease the crash risk on both dry and wet pavement surfaces. The amount of friction that is needed to maintain low crash risk is not the same for every section of road. Locations such as approaches to curves or intersections can increase the risk of a crash, and for that reason, some sections of roadway require more friction than others. Minimum levels of friction called investigatory levels can be established to trigger an in- and out-of-field investigation to determine whether improving friction can improve safety when the measured friction is at or below a specific value. This dissertation proposes a methodology for determining the investigatory levels of friction for different sections of roadway using a statistical regression approach. The investigatory levels are then used to identify locations where pavement surface treatments can reduce crashes based on a benefit-cost analysis. Last, the ability of a surface treatment to reduce crashes is evaluated using another statistical regression approach that predicts changes in crash risk using friction measurements. Since there are several treatment options, a treatment is selected based on estimated cost and benefit.
9

Assessing the Effects of Driving Inattention on Relative Crash Risk

Klauer, Charlie 22 November 2005 (has links)
While driver distraction has been extensively studied in laboratory and empirical field studies, the prevalence of driver distraction on our nation's highways and the relative crash risk is unknown. It has recently become technologically feasible to conduct unobtrusive large-scale naturalistic driving studies as the costs and size of computer equipment and sensor technology have both dramatically decreased. A large-scale naturalistic driving study was conducted using 100 instrumented vehicles (80 privately-owned and 20 leased vehicles). This data collection effort was conducted in the Washington DC metropolitan area on a variety of urban, suburban, and rural roadways over a span of 12-13 months. Five channels of video and kinematic data were collected on 69 crashes and 761 near-crashes during the course of this data collection effort. The analyses conducted here are the first to establish direct relationships between driving inattention and crash and near-crash involvement. Relative crash risk was calculated using both crash and near-crash data as well as normal, baseline driving data, for various sources of inattention. Additional analyses investigated the environmental conditions drivers choose to engage in secondary tasks or drive fatigued, assessed whether questionnaire data were indicative of an individual's propensity to engage in inattentive driving, and examined the impact of driver's eyes off the forward roadway. The results indicated that driving inattention was a contributing factor in 78% of all crashes and 65% of all near-crashes. Odds ratio calculations indicated that fatigued drivers have a 4 times higher crash risk than alert drivers. Drivers engaging in visually and/or manually complex tasks are at 7 times higher crash risk than alert drivers. There are specific environmental conditions in which engaging in secondary tasks or driving fatigued is deemed to be more dangerous, including intersections, wet roadways, undivided highways, curved roadways, and driving at dusk. Short, brief glances away from the forward roadway for the purpose of scanning the roadway environment (e.g., mirrors and blind spots) are safe and decrease crash risk, whereas such glances that total more than 2 seconds away from the forward roadway are dangerous and increase crash risk by 2 times over that of more typical driving. / Ph. D.
10

A Comparative Analysis of Different Dilemma Zone Countermeasures at Signalized Intersections based on Cellular Automaton Model

Wu, Yina 01 January 2014 (has links)
In the United States, intersections are among the most frequent locations for crashes. One of the major problems at signalized intersection is the dilemma zone, which is caused by false driver behavior during the yellow interval. This research evaluated driver behavior during the yellow interval at signalized intersections and compared different dilemma zone countermeasures. The study was conducted through four stages. First, the driver behavior during the yellow interval were collected and analyzed. Eight variables, which are related to risky situations, are considered. The impact factors of drivers' stop/go decisions and the presence of the red-light running (RLR) violations were also analyzed. Second, based on the field data, a logistic model, which is a function of speed, distance to the stop line and the lead/follow position of the vehicle, was developed to predict drivers' stop/go decisions. Meanwhile, Cellular Automata (CA) models for the movement at the signalized intersection were developed. In this study, four different simulation scenarios were established, including the typical intersection signal, signal with flashing green phases, the intersection with pavement marking upstream of the approach, and the intersection with a new countermeasure: adding an auxiliary flashing indication next to the pavement marking. When vehicles are approaching the intersection with a speed lower than the speed limit of the intersection approach, the auxiliary flashing yellow indication will begin flashing before the yellow phase. If the vehicle that has not passed the pavement marking before the onset of the auxiliary flashing yellow indication and can see the flashing indication, the driver should choose to stop during the yellow interval. Otherwise, the driver should choose to go at the yellow duration. The CA model was employed to simulate the traffic flow, and the logistic model was applied as the stop/go decision rule. Dilemma situations that lead to rear-end crash risks and potential RLR risks were used to evaluate the different scenarios. According to the simulation results, the mean and standard deviation of the speed of the traffic flow play a significant role in rear-end crash risk situations, where a lower speed and standard deviation could lead to less rear-end risk situations at the same intersection. High difference in speed are more prone to cause rear-end crashes. With Respect to the RLR violations, the RLR risk analysis showed that the mean speed of the leading vehicle has important influence on the RLR risk in the typical intersection simulation scenarios as well as intersections with the flashing green phases' simulation scenario. Moreover, the findings indicated that the flashing green could not effectively reduce the risk probabilities. The pavement marking countermeasure had positive effects on reducing the risk probabilities if a platoon's mean speed was not under the speed used for designing the pavement marking. Otherwise, the risk probabilities for the intersection would not be reduced because of the increase in the RLR rate. The simulation results showed that the scenario with the pavement marking and an auxiliary indication countermeasure, which adds a flashing indication next to the pavement marking, had less risky situations than the other scenarios with the same speed distribution. These findings suggested the effectiveness of the pavement marking and an auxiliary indication countermeasure to reduce both rear-end collisions and RLR violations than other countermeasures.

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