
Arash Khoda BakhshiWSP USA
Arash Khoda Bakhshi
Ph.D. in Civil Engineering
WSP Technical Principal - Transportation Safety, Research, and Data Analysis
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24
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Publications
Publications (24)
Traditional hierarchical modeling has been proposed to account for unobserved heterogeneity in the crash analysis. Previous studies investigated the grouping of individual observations between different clusters by considering a single random factor at level-2 of data structure. This approach, however, hinders exploring the possible crossed effects...
Connected Vehicles (CVs) technology has provided large-scale driving database embedded in Basic Safety Messages (BSMs). This valuable data source can shed more light on tracking individual driving behaviors to detect crashes. This study delves into the possibility of detecting crashes using BSMs in controlled high-fidelity driving simulator experim...
Although drivers can adequately adjust their operating speed according to the road curvature, they show a lack of recognition regarding the pavement friction conditions. In this regard, inappropriate speed selection on Horizontal Curves (HCs) with reduced surface friction can lead to a remarkable rate of run-off-road, sideswipe, head-on, and rollov...
Connected Vehicle (CV) notifications enhance drivers' situational awareness, where, depending on traffic flow characteristics, CV drivers might require sufficient distance and time to adapt their driving behavior accordingly. Hereof, in addition to CVs Market Penetration Rate (MPR) and traffic flow characteristics, humans are still in the safety lo...
Work zone safety is one of the paramount goals of the safety community. Safety in WZs is a particular concern under foggy conditions as they represent an exogenous factor contributing to high variability in driver behavior. In line with the Connected Vehicle (CV) Pilot Deployment Program on Interstate-80 (I-80) in Wyoming, this study investigates t...
The coronavirus disease 2019 (COVID-19) pandemic led to a substantial reduction in activity-travel resulting from a shift in the primary purpose of travel from work/study to shopping and essential trips. Further, several researchers noted changes to roadway safety during the early phases of the pandemic, such as a decrease in traffic crashes but an...
Foggy weather increases crash likelihood when coinciding with roadway geometry changes inconsistent with drivers’ expectations. The situation might be exacerbated for heavy trucks having to evade critical safety events because of the vehicles’ maneuverability limitations, imposing prime safety challenges on major freight corridors like Interstate-8...
Traffic crashes impose tremendous socio-economic losses on societies. To alleviate these concerns, countless traffic safety researches have shed light on the cognition of observable crash/crash severity contributing factors. Nonetheless, some influential factors might not be observable or measurable, referred to as unobserved heterogeneity, that co...
Traffic crashes can be divided into primary and secondary crashes. Secondary crashes occur as a consequence of primary crashes within their spatiotemporal distances. Secondary crashes comprise nearly 20% of all crashes and 18% of fatal crashes, in which they can possibly have a higher crash severity than the primary crash. Interstate-80 in Wyoming...
Connected Vehicle (CV) applications enhance drivers’ situational awareness. Considering traffic flow characteristics, CV drivers require sufficient distance and time to adapt their driving behavior accordingly. Hereof, in addition to CVs Market Penetration Rate (MPR) and traffic flow characteristics, humans are still in the safety loop. Hence, ther...
Although drivers can adequately adjust their operating speed according to the road curvature, they show a lack of recognition regarding the pavement friction conditions. With this in mind, inappropriate speed selection on Horizontal Curves (HCs) with reduced surface friction can lead to a remarkable rate of run-off-road, sideswipe, head-on, and rol...
Real-time risk assessment studies have investigated a limited length of corridors. However, the necessity of assessing the safety performance of Connected Vehicles (CVs) requires looking into an entire corridor. Aligned with the CV Pilot Program on 402-miles Interstate-80 in Wyoming, this study serves as a baseline to quantify the safety performanc...
Traditional hierarchical modeling has been proposed to account for unobserved heterogeneity in the crash analysis. Previous studies investigated the grouping of individual observations between different clusters by considering a single random factor at level-2 of data structure. This approach, however, hinders exploring the possible crossed effects...
The knot of endogeneity and unobserved heterogeneity are causes of rendering parameter estimates inconsistent in real-time crash prediction. This study intends to alleviate the potential sources of these issues in detecting critical crashes, involving fatal or incapacitating injuries, versus non-critical crashes through a 402-mile Interstate-80 in...
Real-time risk assessment studies have investigated a limited length of corridors. However, the necessity of assessing the safety performance of Connected Vehicles (CVs) requires looking into an entire corridor. Aligned with the CV Pilot Program on 402-miles Interstate-80 in Wyoming, this study serves as a baseline to quantify the safety performanc...
Traffic crashes can be divided into primary and secondary crashes. Secondary Crashes occur as a consequence of primary crashes within their spatiotemporal distances. Secondary crashes comprise nearly 20% of all crashes and 18% of fatal crashes, in which they can possibly have a higher crash severity than the primary crash. Interstate-80 in Wyoming...
Work zone safety is one of the paramount goals of the safety community. The safety concerns in work zones might be exacerbated under foggy conditions, as an exogenous factor, contributing to high driver behavior variability. In line with the Connected Vehicle (CV) Pilot Deployment Program on Interstate-80 (I-80) in Wyoming, this study investigates...
The proper cognition of causal relations between crash contributing factors and crash probability is the essential prerequisite for Active Traffic Management (ATM) in developing appropriate intervention strategies. Numerous approaches, including traditional statistics as well as black-box techniques, have been used in Real-Time Risk Assessment (RTR...
This study bridges the gap between Real-Time Risk Assessment
(RTRA) and its practical implications by following the post-hoc interpretability approach and utilizing black-box graphical tools for safety data visualization. The real-time traffic-related crash contributing factors were detected using the matched-case control design on 402-miles Inters...
The derailment is one of the most hazardous occurrences affecting the safety of railroads vehicles that must be prevented. The potential threat of derailment could especially be significant when the length of tangent between vertical curves isn't long as much as enough. Although the length of tangent between vertical curves could be relevant to rai...
Previous studies have demonstrated that, a high percentage of traffic accidents take place in two-lane rural highways and most of them happen at horizontal curves. Meanwhile, due to economic aspects, when horizontal alignment is subjected to hard topographic conditions, designers are forced to design horizontal curves at grades and this make situat...
The previous studies show that a high percentage of traffic accidents take place in two-lane rural highways and most of which happen at horizontal curves. Meanwhile the horizontal alignment is often subject to hard topographic conditions where because of economic aspects designers are forced to design horizontal curves at grades. Vertical angle of...