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    Investigating speed-safety association: Considering the unobserved heterogeneity and human factors mediation effects

    , Article PLoS ONE ; Volume 18, Issue 2 February , 2023 ; 19326203 (ISSN) Nassiri, H ; Mohammadpour, S. I ; Sharif University of Technology
    Public Library of Science  2023
    Abstract
    The relationship between mean speed and crash likelihood is unclear in the literature. The contradictory findings can be attributed to the masking effects of the confounding variables in this association. Moreover, the unobserved heterogeneity has almost been criticized as a reason behind the current inconclusive results. This research provides an effort to develop a model that analyzes the mean speed-crash frequency relationship by crash severity and type. Also, the confounding and mediation effects of the environment, driver, and trafficrelated attributes have been considered. To this end, the loop detector and crash data were aggregated daily for rural multilane highways of Tehran... 

    Forecasting time trends of fatal motor vehicle crashes in Iran using an ensemble learning algorithm

    , Article Traffic Injury Prevention ; Volume 24, Issue 1 , 2023 , Pages 44-49 ; 15389588 (ISSN) Nassiri, H ; Mohammadpour, I ; Dahaghin, M ; Sharif University of Technology
    Taylor and Francis Ltd  2023
    Abstract
    Objective: This study aimed to introduce the random forest (RF) method as a valuable tool for short-term crash frequency prediction. Besides, the study compares the forecast efficiency of the RF model with the classical seasonal autoregressive integrated moving average (SARIMA) model in the multivariate time-series analysis of crash counts. Methods: To this end, fatal accidents reported by the police and intercity traffic flow extracted from the loop detectors were aggregated in intercity highways at the country’s level monthly from Farvardin 1395 to Mordad 1400. The first 55 data points were used as the training sample, and the remaining ten months were considered the test sample. The... 

    How do the smart travel ban policy and intercity travel pattern affect COVID-19 trends? Lessons learned from Iran

    , Article PLoS ONE ; Volume 17, Issue 10 October , 2022 ; 19326203 (ISSN) Nassiri, H ; Mohammadpour, S. I ; Dahaghin, M ; Sharif University of Technology
    Public Library of Science  2022
    Abstract
    COVID-19, as the most significant epidemic of the century, infected 467 million people and took the lives of more than 6 million individuals as of March 19, 2022. Due to the rapid transmission of the disease and the lack of definitive treatment, countries have employed non-pharmaceutical interventions. This study aimed to investigate the effectiveness of the smart travel ban policy, which has been implemented for non-commercial vehicles in the intercity highways of Iran since November 21, 2020. The other goal was to suggest efficient COVID-19 forecasting tools and to examine the association of intercity travel patterns and COVID-19 trends in Iran. To this end, weekly confirmed cases and... 

    Forecasting time trend of road traffic crashes in Iran using the macro-scale traffic flow characteristics

    , Article Heliyon ; Volume 9, Issue 3 , 2023 ; 24058440 (ISSN) Nassiri, H ; Mohammadpour, S. I ; Dahaghin, M ; Sharif University of Technology
    Elsevier Ltd  2023
    Abstract
    Background: The serial correlation in the time series datasets should be considered to prevent biased estimates for coefficients. Nonetheless, the current models almost cannot explicitly handle autocorrelation and seasonality, and they focus mainly on the discrete nature of data. Nonetheless, the crash time series follows a normal distribution at the macro-scale. Moreover, the influential exogenous variables have been overlooked in Iran, employing univariate models. There are also contradictory results in the literature regarding the effect of average speed on crash frequency. Objective: This study is aimed to evaluate the distinct impacts of mean speed on total and fatal accident time... 

    Application of logit modeling to the decision-making process of drivers at the Onset of the yellow signal

    , Article Scientia Iranica ; Volume 8, Issue 1 , 2001 , Pages 54-61 ; 10263098 (ISSN) Nassiri, H ; Sharif University of Technology
    Sharif University of Technology  2001
    Abstract
    Drivers approaching an intersection at the onset of yellow change interval have two choices: To continue through the intersection or stop. Some of those who continue through the intersection succeed in reaching the other side, while others do not, causing gridlock and/or accidents. For drivers located in a "dilemma" zone, the decision to continue or stop is random in nature, and would be suitable for analysis by means of logit models. This research is based on the statistics gathered at nine intersections in Tehran, Iran. The behavior of drivers at the onset of the yellow interval was studied and their decisions to stop or proceed were modeled using logit modeling. The results indicate that... 

    Noise Characterization in VVER-1000 Reactor Core

    , M.Sc. Thesis Sharif University of Technology Nassiri, Ahmad (Author) ; Vosoughi, Naser (Supervisor)
    Abstract
    Neutron fluctuations in both low and high power reactors provide important information about the system. The origins of these fluctuations are different in both regimes. In low power the branching process is the reason of these fluctuations. But the random nature of technological processes such as boiling in the reactors cooling and mechanical structure vibrating such as control rod and fuel rod created the neutron noise. Mathematical descriptions and applications of neutron noise for each mode are different. In common mode, fluctuations in the neutron detection system, determine some parameters and determin the start abnormality in system. In this study the spatial dependence of the cross... 

    Air itinerary choice in a low-frequency market: A decision rule approach

    , Article Journal of Air Transport Management ; Volume 18, Issue 1 , January , 2012 , Pages 34-37 ; 09696997 (ISSN) Nassiri, H ; Rezaei, A ; Sharif University of Technology
    2012
    Abstract
    This paper focuses on low frequency airline service patronage using the data from a survey conducted at Imam Khomeini International Airport in Tehran, Iran. It uses Dominance-based Rough Set Approach (DRSA) for modeling passengers' choices. We compare the method with discrete choice models using a prediction potential measure. Unlike discrete choice methods, it can use qualitative and categorized data without having to transform them into dummy variables. It is found that the prediction accuracy of the proposed technique is better than that of the discrete choice model for the case under consideration  

    Modeling truck accident severity on two-lane rural highways

    , Article Scientia Iranica ; Volume 13, Issue 2 , 2006 , Pages 193-200 ; 10263098 (ISSN) Nassiri, H ; Edrissi, A ; Sharif University of Technology
    Sharif University of Technology  2006
    Abstract
    Truck accidents are an issue of concern due to their severity. Logit modeling and Neural Network modeling are performed to investigate factors such as vehicle, roadway, environment and driver characteristics that can potentially contribute to the severity of truck accidents. The objective of this study is to present models that can predict the severity of truck accidents and to identify the important factors causing these accidents. Comparison between neural networks and logit modeling are made using vehicle crash data on two-lane rural highways in Iran. A variety of variables related to roadways, vehicles, environment and drivers, such as, driver fatigue, head-on collision and lack of... 

    Applicaton of warrant for Installation of Protected Left-Turn Phase at Signalized Intersections

    , M.Sc. Thesis Sharif University of Technology Kamkari, Mahshid (Author) ; Nassiri, Habibollah (Supervisor)
    Abstract
    Left-turn operation is a critical component in the safe and efficient operation of a signalized intersection. The proper type of left-turn phasing results in reduction of traffic delay and number of accidents. A review of the literature indicates that different warrants have been proposed for the installation of the protected left-turn phase; however, there is not a consensus to implement a specific warrant up to the present. In general, the warrants fall into four categories: traffic volume, operational characteristics of traffic, intersection geometrics and accident experiences. Considering the high rate of accidents resulting from left-turn movements at signalized intersections in Iran,... 

    Analysis and Identification of Two-Lane Rural Highway Hazard Index

    , M.Sc. Thesis Sharif University of Technology Mirzanamadi, Raheb (Author) ; Nassiri, Habibollah (Supervisor)
    Abstract
    Identification of hazardous locations and improvement of these locations are the basis of most highway safety inspection programs. In most cases, performance of successful highway safety management programs requires accurate accident data, and availability of these data. Unfortunately, in Iran, there is some uncertainty about the accuracy and completeness of these data to be used in a safety management program.The main purpose of this study is to identify and compare highway accident hazard index for a two-lane rural highway in Iran using two different methods. In the first method, traffic and alignment characteristics of the highway were recorded through roadway auditing technique, GPS... 

    Evaluation of Performance of Emergency Relief Vehicles Responding to Traffic Accidents in Tehran

    , M.Sc. Thesis Sharif University of Technology Ashtari, Sima (Author) ; Nassiri, Habibollah (Supervisor)
    Abstract
    High number of traffic accidents in Iran and its rate which is well above the world's average is a major issue of concern. The results of recent researches show a direct relation between survival rate of traffic accidents' injuries and the Emergency Response Time (ERT). The main objective of this research is to analyze different aspects of ERT in Tehran, Iran and to compare these results with the International standards. This study intends to compare the selected routes by ambulance drivers with the shortest paths recommended by EMME/2. Results of analysis show that when the travel time between accident scene and the emergency dispatch center is less than 8 minutes, the possibility of... 

    Travel Time Estimation for Signalized Arterials Using a Probabilistic Approach

    , M.Sc. Thesis Sharif University of Technology Fotouhi, Hossein (Author) ; Nassiri, Habibollah (Supervisor)
    Abstract
    Estimation of travel time in transportation engineering has always been an important issue. So far, most of travel time studies have focused on freeways and highways, and very few research have been done on travel time estimation for arterials. In this study, by using shock wave concept, a probabilistic model is developed for estimating the travel time of a signalized arterials consisting of two pre-timed signalized intersections. This model can be used in both coordinated and non-coordinated signals. In this study, travel time and traffic volume data were collected for Fatemi Ave. in Tehran, Iran. By using these data, some parameters of VISSIM simulation package were calibrated to reflect... 

    Multi-Vehicle Crash Severity Prediction Model in Different Weather Conditions (Case Study of the East Azerbaijan Roads)

    , M.Sc. Thesis Sharif University of Technology Yazdani, Mirbahador (Author) ; Nassiri, Habibollah (Supervisor)
    Abstract
    Traffic accidents, is an inevitable event. There are various reasons for accidents and almost not possible to identify all of them, but a careful study of these phenomena can identify the main causes of this phenomenon. This study estimates Multi-Vehicle severity in terms of different weather. Accidents data the Including 2,949 accidents recorded during 1388 to 1392 in six axes of the East Azerbaijan roads in three levels of accident severity: damage, injury and death. For modeling, sequential Logit model was selected because accidents severity have Sequential nature. This model used the Stata software, version 12, for evaluation and sensitivity analysis. The obtained model consists of... 

    Criteria of Choosing Intersection or Roundabout Based on Delay Time, Fuel Consumption, and Environmental Factors

    , M.Sc. Thesis Sharif University of Technology Mohammadi, Mansour (Author) ; Nassiri, Habibollah (Supervisor)
    Abstract
    Nowadays, there are three factors in traffic issues, which are very important. These factors are delay time, fuel consumption and environmental pollution. A good choice of the type of traffic nodes (intersection and roundabout) can play an important role in reducing some of the traffic problems such as: the amount of vehicles' delay time, energy consumption and pollution due to the transport system. In this study, we try to identify factors that influence delay time, fuel consumption and air pollution in different types of intersections and roundabout. According to previous studies, these factors were such as: variables of each route volume, distribution of through, right turn and left turn... 

    Modeling Capacity and Delay for Arterial Work Zones

    , M.Sc. Thesis Sharif University of Technology Aghamohammadi, Rafegh (Author) ; Nassiri, Habibollah (Supervisor)
    Abstract
    For any country, the road system is an important part of its infrastructure which can affect economic development. A good level of service for a road system requires implementation of work zone projects to maintain it which usually close one or more of the lanes available for traffic. Lane reductions could cause a disturbance to normal traffic flow and speed reductions, further resulting in a reduction of road capacity and an increase of traffic delay. In addition, work zone capacity and traffic delay are the two critical indices to determine whether the effectiveness of traffic control systems is acceptable or not. Hence, the accurate estimation of capacity and traffic delay in work zones is of... 

    Developing a Methodology for Evaluating the Vulnerability of Urban Transportation Networks after an Earthquake

    , M.Sc. Thesis Sharif University of Technology Mahmoudabadi, Mahdiyeh (Author) ; Nassiri, Habibollah (Supervisor)
    Abstract
    Natural disasters, earthquakes in particular, claim many human lives and damage major lifelines such as transportation networks. Transportation networks play an important role in various stages of response to disasters, such as evacuation, search, rescue and reconstruction missions. Hence, special attention must be paid to transportation networks in any disaster management system. Hence, in order to reduce the impacts of earthquakes on denser cities and metropolitan areas, analysis of the resiliency and vulnerability of critical infrastructures such as transportation network, can be used as an effective strategy.The resiliency and vulnerability of transportation network have attract a lot... 

    A New Model for Usage-based Insurance in Order to Increase Road Safety

    , Ph.D. Dissertation Sharif University of Technology Sahebi, Sina (Author) ; Nassiri, Habibollah (Supervisor)
    Abstract
    The lack of road safety imposes heavy costs on society. The cost of treatment, disability, travel time and mental disorders are examples of costs caused by unsafe roads in a country. One of the most effective manners to improve road safety over the last decade is to use safe driving incentives and in particular usage-based insurance. Usage-based insurance reduces road accidents by internalizing the cost of driving violations and the cost of vehicle usage.Risky behaviors and driving violations, especially speed limits violations, have a significant effect on increasing unsafe road traffics. Accordingly, in this Ph.D. dissertation, a new scheme of usage-based insurance was introduced to reduce... 

    Traffic State Prediction via Macroscopic Fundamental Diagram in an Urban Network

    , M.Sc. Thesis Sharif University of Technology Sabet, Saba (Author) ; Nassiri, Habibollah (Supervisor)
    Abstract
    The road authorities of a city have the responsibility of constantly assessing how well their city performs when traffic conditions are taken into account. In many metropolises around the world, if not taken preventive measures, there will be observed a density above the network capacity and a noticeable decrease in the level of service, especially in the morning and evening peak hours. Also, the dynamic congestion pricing of certain areas based on the traffic condition has always been considered significant by urban planning officials. Since this is not possible except by constantly assessing the current traffic state, a variety of methods have been used to predict the future traffic... 

    Developing a Descriptive Traffic Accident Model for Urban Bus Drivers, based on Environmental, Cognitive, and Behavioral Factors of Aggressive Driving

    , M.Sc. Thesis Sharif University of Technology Mohammadpour, Iman (Author) ; Nassiri, Habibollah (Supervisor)
    Abstract
    Road casualty is the fourth leading cause of death in Iran after cardiovascular disease, cancer, and respiratory disease. Moreover, up to 7% of Iran’s Gross Domestic Product (- GDP) is spent annually on motor vehicle crashes’(MVCs) adverse outcomes. Recent studies have highlighted the role of anger and aggressive behaviors, while driving as two main predicters of MVCs. On the other hand, bus drivers and passengers, compared with the small number of registered buses in Iran, are more prone to fatal crashes than occupants of any other vehicles, based on the last WHO’s report. The aim of current research was to evaluate the influence of aggressive thoughts and behaviors on the road, driver’s... 

    Studying the Simultaneous Impact of Autonomous Vehicles and Distracted Driving on Safety at Unsignalized Intersections

    , M.Sc. Thesis Sharif University of Technology Khashayarfard, Mohammad (Author) ; Nassiri, Habibollah (Supervisor)
    Abstract
    Human error is one of the most important causes of accidents. Distraction and lack of attention to driving, fatigue, poor vision, speeding, and other such errors by drivers can cause accidents. With the rapid advancement of technology, transportation planners also thought of making cars as smart as possible to reduce human error. In this study, the effect of self-driving cars on the number of accidents at two unsignalized intersections is investigated using traffic microsimulation. For conventional vehicles, the factor considered for the simulation and calibration is driver distraction, which may be caused by reading or writing a text message on a cellphone or other items. This factor can be...