Department of Transportation Planning (1996 - Present)
Transportation Engineering
Civil Engineering, Carlton, Ottawa, Canada
Highway Engineering
Civil Engineering, Carlton, Ottawa, Canada
Civil Engineering
Civil Engineering, Kerman Shahid Bahonar University, Kerman, Iran
Professor Saffarzadeh has been a faculty member of Department of Civil and Environmental Engineering at Trabiat Modares University, Tehran, Iran, since 1995. Mahmoud Saffarzadeh holds a Ph. D. in Transportation and Highway Engineering at Carleton University, Ottawa, Canada (1995), M. Sc. in Transportation and Highway Engineering at Carleton University, Ottawa, Canada (1991), and B. Sc. in Civil Engineering at Bahonar University, Kerman, Iran (1987). He was a Director of Road and Transportation group at Tarbiat Modares University between 2008 to 2011, and selected as a Dean of Faculty of Civil and Environmental Engineering, Tarbiat Modares University, between 2011 and 2013. Professor Saffarzadeh teaches graduate courses namely Airports Planning and Design, Transportation Terminals, Traffic Engineering, Transportation Safety, Advanced Highway Design, Intelligent Transportation System in masters` and Ph. D. at Tarbiat Moadares University, Sharif University and Amirkabir University of Technology (Tehran Polytechnic). He conducts research in Traffic fellow modeling and simulation, Transportation Engineering, Highway Design, Traffic flow theory, Intelligent Transportation System. He has been a member of different Transportation and Traffic Institutions and Organizations such as the International Society on Energy Economics (IAEE), the World Conference Transportation Research Society (WCTRS), the International Road Federation (IRF), the Technical High Council of Transportation Infrastructures, the Aviation Transportation Research Society (ATRS), the Iranian Society of Railroad Engineering. He has 9 published books which the most recent ones are How to make two lane roads Safer in 2012, Transportation Engineering, Second Edition, Volumes I II published by Tarbiat Modares University in 2011, Geometric Design of Highways and Streets, Volumes 1, 2 and 3, published by Transportation Research Institute, Iran, in 2009. Professor Saffrzadeh has been an Editor-in Chief of many Science and Research Journals namely, International Journal of Transportation Engineering (IJTE), Journal of Transportation Engineering (JTE), Civil Engineering Journal at Tarbiat Modares University, Traffic Management Studies, Traffic Engineering Journal, Transportation Research Journal. As for his work experience, now he is a Deputy of Research and Technology of Road, Housing and Urban Development Research Center. He has also established an Institution named Tarrahan Parseh Transportation Research Institute (TPTRI) in 2008 collaborating with professional and high skilled Civil Engineers specialized in Transportation and Highway Engineering, and Transportation Planning. In addition to these being a Deputy Head and director general of private research organization union (2013), a Research Deputy of Faculty of Engineering, Tarbiat Modares University (2008), Member of Traffic research council for the Municipality of Tehran (2009) and many other academic carriers are of his job experiences.
This paper aims to develop a new Surrogate Safety Measure (SSM) for applying in In-vehicle collision avoidance warning systems. To send safety alarms, the amount of collision risk is required, which of course can be measured with only one measure. To accurately determine the risk of an accident at any given time, 7 valid safety measures including Time to collision (TTC), Modified TTC (MTTC), General formulation for TTC (GTTC), Deceleration-based surrogate safety measure (DSSM), Difference of Space distance and Stopping distance (DSS), Deceleration rate to avoid collision (DRAC), and Proportion of Stopping Distance (PSD) were used together and with different thresholds to provide a more accurate estimate of the risk for each moment. A certai
This study outlines the effects of congestion toll pricing on commercial land-uses (CLUs) through studying the temporary and permanent impacts of client behavior on the CLUs. In the case study of Tehran metropolis, Iran's capital, which has experienced congestion pricing for more than four decades, both clients and vendors' viewpoints were modeled using discrete choice models. Two types of questionnaires were provided to evaluate clients' and vendors' behavior in response to the traffic congestion zone charges. The clients of three businesses, including garments, electronics, and home appliances, were more sensitive to toll price changes. A 20-percent increase in toll prices led to a substantial client loss in the above businesses in the lo
Background and Objective: Extensive studies have so far been carried out on developing safety models. Despite the extensive efforts made in identifying independent variables and methods for developing models, little research has been carried out in providing amendatory solutions for enhancing the level of safety. Thus, the present study first developed separate accident frequency prediction models by transportation modes, and then in the second phase, a development of safety improvement method (DSIM) was proposed. Materials and Methods: To this end, the data related to 14,903 accidents in 96 traffic analysis zones in Tehran, Iran, were collected. To evaluate the effect of intra-zone correlation, a multilevel model and a negative binomial (N
In this study, traffic and geometric factors affecting accidents occurring in road segments are investigated across different transportation modes (vehicle, motorcycle, and pedestrian) using micro and macro levels variables simultaneously while accounting for the effect of intra-zone correlation due to the same independent variables for accidents occurring within a zone. The data related to 14903 accidents that had occurred in 96 Traffic Analysis Zones (TAZ) in Tehran were collected and imported into Geographic Information System (GIS) application. Negative Binomial models and multilevel models were adopted to predict the number of traffic accidents. Due to considering the multilevel structure of the data in multilevel models, it showed a b
Speed of the motor vehicles is one of the main risk factors in traffic safety, as it can increase both the chance and the severity of a crash.? In order to achieve an improved traffic safety? by? influencing? the? speed? of? travel,? road? authorities? may decide? to? lower? the? legally? imposed? speed? limits. In this study, information from speed cameras and traffic counters installed in Ghazvin-Rasht and Bam-Kerman interstate highway were used to explore the effectiveness of speed cameras in reducing the number of speed violations. Various methods of Before-after stufy, such as Empirical Bayes, and Comparison Group methods were employed to analyze the obtained information from the speed cameras installed in the studied highway. Results
These days, transportation is one of the decisive side of development in nations. One of the most prominent part of transport system is intercity road transport, the quality, infrastructure and the route management play a significant role in the flourishing of the socities. In order to acquire high quality in the field of road transport, first of all, sufficient infrastructure is required, secondly and even more importantly, thoigh, so as to revolutionize the situation, necessity of management is inevitable. In Iran, a vast number of intercity routes have sufficient infrastructure, therefore, the management measures of these roads must be implemented. The current study investigates to find the determinative factors affecting on mode shift,
Existence research for to evaluate the effectiveness of a series of Countermeasures in reduction crashes on the Malayer-Jokar axis in Hamadan province. In this axis, in 2015, a series of Countermeasures have been implemented during three months. To determine the effectiveness of the set of Countermeasures, Crashes data were used 19 months before and 19 months after the implementation of these Countermeasures. Due to its high efficiency in estimating the expected accidents without implementing Countermeasures and also eliminating the phenomenon of regression, the business method was used to average. The high accuracy of this method is due to the use of safety performance function (SPF) in order to logically estimate the frequency of crashes
In this research, researchers are looking to prioritize countermeasures in one of the important intersections of Darrehshahr city. The four countermeasures including installing a traffic signal, installing a speed hump in the minor approach, drawing a stop line in the minor approach +sign and creating a rumble stripe in the major and minor approach for this intersection are considered. The research method is the economic evaluation method in HSM. In the economic evaluation of countermeasures, the costs of fatal crashes, injuries and damages for the year 1399 have been calculated. Also, the expected crashes before and after the implementation of the countermeasures and the reduction in the frequency and severity of the crashes caused by the
Shortly, Automated Vehicles (AV) will be used in urban streets in many countries. On the other hand, many countries are faced with congested problems and are looking for some way to solve congestion problems. Therefore, it is necessary to find the impact of these vehicles on different aspects of transportation planning. In recent years many researchers have been encouraged to investigate the impact of Connected and Automated Vehicles (CAV) on the capacity of transportation networks. In this paper, we have a specific goal, and the goal is to show how CAVs can influence roads' capacity. In this research, we choose the SUMO simulator to reach our goal. Besides, we use Krauss car-following model to specify the following vehicle behavior and als
In the past years and with the start of Autumn and Winter seasons in Tehran, when vehicle emission rates reached their maximum amount in Tehran and According to the approved plan of the emergency committee for air pollution in Tehran, traffic congestion zone was extended to the Odd-Even plan area and many of the citizens changed their way of access to the area and other citizens paid the tolls to travel inside the zone with their private vehicles. In this research, first, the interviewees were asked to determine how they have traveled to the Odd-Even plan area. In the following, the proposed hypothesis was based on this assumption that if the traffic congestion zone due to the air pollution problem, is extended to Odd-Even plan area, Accord
In many accidents, if the driver responds on time, those will not occur or theirs’s severity is low. One of the main steps before responding is to detect the hazard. Various variables affect drivers' hazard detection and perception, most of which are driver characteristics. In this research, it was assumed that driver characteristics, such as demographic characteristics, lifestyle features and cognitive characteristics, have an impact on driver hazard perception. In this regard, a driving simulator was used and different hazard scenarios of rural road were developed. Finally, a quantitative index and optimal structural equation model were proposed to determine the relationship between hazard perception and driver characteristics. The resu
Objective: Considering the high annual number of fatal driving accidents in Iran, any approach for reducing the number or severity of driving accidents is a positive step toward decreasing accident-related losses. Accidents can often be avoided by a timely reaction of the driver. One of the steps before reacting to a hazard is perception. Some driver characteristics may affect road hazard perception. In this research, it was assumed that various driver characteristics, including demographic characteristics and cognitive characteristics, have an impact on driver perception.Methods: The driving simulator used in this research provides various scenarios; for example, passing a pedestrian or animal across the road or placing fixed objects in a
This study investigates factors affecting accidents across transport facilities and modes, using micro and macro levels variables simultaneously while accounting for the influence of adjacent zones on the accidents occurrence in a zone. To this end, 15968 accidents in 96 traffic analysis zones of Tehran were analyzed. Adverting to the multi-level structure of accidents data, the present study adopts a multilevel model for its modeling processes. The effects of the adjacent zones on the accidents which have occurred in one zone were assessed using the independent variables obtained from the zones adjacent to that specific zone. A Negative Binomial (NB) model was also developed, and results show that the multilevel model that considers the ef
Road traffic accidents lead to a higher rate of death and injury, especially in vulnerable road users such as pedestrians. Improving the safety of facilities for pedestrians is a major concern for policymakers because of the high number of pedestrian fatalities and direct and indirect costs which are imposed to the society. This study focuses on the idea of determining the willingness to pay of pedestrians for increasing their safety while crossing the street. In this study, three different scenarios including crossing the street with zebra crossing facilities, crossing the street with zebra crossing facilities and installing a pedestrian traffic light and constructing a pedestrian bridge with escalator are presented. The research was condu
One of the most important parts of the driver reaction is detecting hazard in prominent time. A hazard is detected in the right time if it is completely visible for the driver. There are various hazard types such as fixed obstacles، pedestrians، and animals that some of them cross the road. Right-time hazard detection and the post-reaction is of high importance in accident prevention. It is assumed، in this paper، that increasing crossing speed of hazards affects the driver's hazard detection. Different driver types including novice، low-experienced، and experienced drivers are chosen and various environmental scenarios are also designed. The eventual suggested model is Fuzzy Sugeno that estimates relation between the driver's detecti
In Recent years, different Traffic schemes such as the Odd-Even day plan starting from the door of each house or the extension of traffic congestion zone to the Odd-Even plan range have been implemented when vehicle emission rates reached their maximum amount in Tehran. In this study, according to the approved plan of the Emergency Committee for air pollution in Tehran to extend traffic congestion zone to the Odd-Even plan range in Tehran in the third and fourth week of November 2016 and by using the information obtained from the amount of personal car usage of citizens in a selected area of Tehran, which includes 15 intersections and their traffic statistics harvested by the SCATS system, the volume of cars and their emissions rate in this
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