Fa
  • Ph.D. (2011)

    Transportation Planning and Engineering

    Faculty of Civil Engineering, Sharif University of Technology, Tehran, Iran

  • M.Sc. (2005)

    Transportation Planning and Engineering

    Faculty of Civil Engineering, Sharif University of Technology, Tehran, Iran

  • B.Sc. (2003)

    Civil Engineering

    Faculty of Civil Engineering, Sharif University of Technology, Tehran, Iran

  • Evaluation of Transportation Projects
  • Data Analysis in Transportation Planning
  • Simulation Models in Transportaton Planning
  • Traffic Safety Analysis

    Seyedehsan received his Bachelor in Civil Engineering and Master and PhD in Transportation Engineering from Sharif University of Technology (SUT) in 2004, 2006, 2011, respectively. He is now an Assistant Professor in the Civil and Environmental Engineering Department at Tarbiat Modares University (TMU) in Tehran. He has recently received a Georg Forster Fellowship as an experienced researcher from the Alexander von Humboldt Foundation in Germany. Since June 2017, he is a visiting professor at the Research Group on Modeling Spatial Mobility at the Technical University of Munich (TUM). He also teaches a course entitled Transport Planning in Developing Countries each summer semester at TUM.

    Contact

    Curriculum Vitae (CV)

    Mapping the intellectual structure of GIS-T field (2008–2019): a dynamic co-word analysis

    Seyedmohammadreza Hosseini, Hamed Baziyad, Rasoul Norouzi, Sheida Jabbedari Khiabani, Győző Gid?falvi, Amir Albadvi, Abbas Alimohammadi, Seyedehsan Seyedabrishami
    Journal PaperScientometrics , 2021 February 19, {Pages 22-Jan }

    Abstract

    Using geographic information systems (GIS) widely for dealing with transportation problems (is well-known as GIS-T), has made it nessasary for researchers to discover the current state-of-the-art and predict the trends of future research. This paper aims to contribute to a better understanding of GIS-T research area from a longitudinal perspective, over the period 2008–2019. A co-word analysis was used to illustrate all the underlying subfields of GIS-T based on published papers in the Web of Science (WoS) database service. The main knowledge areas representing the intellectual structure of GIS-T including (a) sustainability,(b) health,(c) planning and management, and (d) methods and tools, were detected. Finally, in order to illustrate t

    Analysis of the interaction between destination and departure time choices

    A Rasaizadi, S Seyedabrishami
    Journal Paper , , {Pages }

    Abstract

    Analysis of the interaction between destination and departure time choices

    A Rasaizadi, S Seyedabrishami
    Journal Paper , , {Pages }

    Abstract

    Traffic state prediction by machine learning algorithms for short-term and mid-term prediction time horizons

    A Rasaizadi, SE Seyedabrishami
    Journal Paper , , {Pages }

    Abstract

    پیش‌بینی وضعیت ترافیک با الگوریتم‌های یادگیری ماشین برای افق‌های زمانی کوتاه‌ و میان‌مدت‎

    رساءایزدی, ابریشمی, سید احسان‎
    Journal Paper , , {Pages }

    Abstract

    Identification of the most effective calibration parameters in safety microsimulation models (Case study: Mashhad-Sabzevar-Tehran suburban highway)

    M Rahmati Yami, AM Boroujerdian, SE Seyed Abrishami
    Journal Paper , , {Pages }

    Abstract

    Traffic management via traffic parameters prediction by using machine learning algorithms

    A Rasaizadi, A Ardestani, SE Seyedabrishami
    Journal Paper , , {Pages }

    Abstract

    Assessment of urban transportation pricing policies with incorporation of unobserved heterogeneity

    Hamid R Fowri, Seyedehsan Seyedabrishami
    Journal PaperTransport Policy , Volume 99 , 2020 December 1, {Pages 19-Dec }

    Abstract

    This paper aims to assess five urban transportation pricing policies (including petrol price, parking fee, taxi fare, bus fare, and metro fare). Using stated preference panel data, we estimate a mixed logit (ML) model and a latent class (LC) model, which account for individual unobserved heterogeneity. The estimated policy implications resulting from these models are compared to get a deeper understanding of the differences in policy recommendations when using different treatments of unobserved heterogeneity. In this regard, we focus on two criteria, which are the changes in mode share and the changes in expected consumer surplus in response to the changes in the level of pricing policies. Results by both ML and LC models reveal that in som

    The interaction between activity choice and duration: Application of Copula-based and Nested-logit models

    Fereshteh Jafari Shahdani, Arash Rasaizadi, Seyedehsan Seyedabrishami
    Journal PaperScientia Iranica , 2020 October 3, {Pages }

    Abstract

    There is a relationship between choosing an activity and duration of that activity, especially for non-mandatory ones. Some previous studies have analyzed the decisions about an activity type and duration independently, though some others have used joint models. This paper contributes to the body of knowledge through using Nested-logit and Copula-based models for assessing the existence of interdependency or a hierarchy between non-mandatory activity choice and the relative duration. In the Nested-logit model, it is assumed that error terms of these decisions are interrelated, though one is influenced by another. In contrast, the Copula-based model can accommodate spatial error correlation across observational units without imposing a restr

    Analysis of Speed Profiles at An Unsignalised Intersection for Left Turning Vehicles

    Maryam Dolatalizadeh, Amin Mirza Boroujerdian, Seyed Ehsan Seyedabrishami
    Journal PaperInternational Journal of Transportation Engineering , 2020 September 7, {Pages }

    Abstract

    Intersections are one of the elements that play an important role in urban networks. Analysis of drivers’ performance at unsignalised intersections is crucial, especially in left-turning movements due to their several inherent conflicts and variety of drivers’ maneuver types which affect traffic safety and capacity at such intersections, so the purpose of this paper is to introduce how the behaviour of drivers will be specified in left-turning at unsignalized intersection. For this study, traffic data were collected using a fixed digital camera. First, the vehicle speed profiles are categorized into descending-ascending slope (type (A)), the smooth descending-ascending slope (type (B)) and ascending slope (type (C)).The effects of the i

    The Design of Feeder Network Rail Line and Determine Frequency Using a Heuristic Method

    Sara Ahmadinejad, Seyed Ehsan Seyed Abrishami
    Journal PaperJournal of Transportation Research , Volume 17 , Issue 2, 2020 June 21, {Pages 199-208 }

    Abstract

    The main role of feeder in urban networks is to increase the coverage of rapid public transportation systems such as subway and bus rapid transit. The high complexity of the exact methods of designing feeder networks motivates researchers to apply heuristic and meta-heuristic methods to find approximate solution of feeder network design. This paper presents an innovative approach to design of feeder network for a subway line using a two-stage heuristic method. The proposed method has been applied in Sioux Falls as a test network which is often used in transit network design. According to the proposed method, at the first stage, a number of primary routes are generated as initial solutions; then these routes are screened according to a set o

    An Emergency Vehicle Routing Model in Small and Medium Transportation Networks

    Sheida Roshankhah, Seyed Ehsan Seyed Abrishami, Hassan Javanshir
    Journal PaperQuarterly Journal of Transportation Engineering , Volume 12 , Issue 1, 2020 September 22, {Pages 139-161 }

    Abstract

    These days, emergency request responding in a short time is a highly challenging issue. The main goal of current research is modeling an optimization problem for emergency vehicle routing on small and medium-sized networks and solving the problem by a novice algorithm. The suggested algorithm inputs are the network, location and number of requests, vehicles, and hospitals. The objective is to minimize total travel time of vehicles plus the time that the last request is responded completely. The algorithm output is the vehicle and hospital assignment to each request and requests' responding order on the network. After developing the mathematical model of the problem, 138 random samples are produced on a network with 7 nodes and 16 links. The

    تحلیل عوامل تاثیرگذار و تمایل به پرداخت رانندگان برای استفاده از خودرو با سوخت جایگزین در شهر تهران‎

    ایران منش, سیدابریشمی, سیداحسان‎
    Journal Paper , , {Pages }

    Abstract

    Short-term prediction of bus passenger demand, case study: Karimkhan bridge-Jomhoori square line

    SEYED EHSAN SEYEDABRISHAMI, Vajihe Amini, MARYAM IRANMANESH
    Journal Paper , Volume 10 , Issue 34000763, 2019 January 1, {Pages 497-512 }

    Abstract

    In recent decades، increasing urban population، urbanization development and the lack of public transportation in response to increasing demand for inter-city trips have led to an increase in the use of private cars in Tehran. Therefore، changes in urban transport policies and efforts to develop and improve public transportation، especially the bus، are one of the most important strategies in the urban transport planning and require the necessary surveys to have a growth in share of public transportation. Studies show that planning for the optimal use of bus infrastructure and the use of solutions to increase the efficiency of this system in the world، requires information on infrastructure and bus lines demand. Accordingly، it is ne

    A Copula-Based Joint Model to Capture the Interaction between Mode and Departure Time Choices in Urban Trips

    Seyedehsan Seyedabrishami, Arash Rasa Izadi
    Journal PaperTransportation Research Procedia , Volume 41 , 2019 January 1, {Pages 722-730 }

    Abstract

    Mode and departure time choices are two effective decisions on the urban travel demand. Previous studies have different assumptions for modeling these decisions. Some studies assume that mode and departure time choices are independent and other studies consider nested logit as a joint structure. Comparison of joint and independent models shows that these decisions are interrelated. This paper uses a copula-based joint modeling framework to depict this interrelation. To achieve better fitted model several copula functions including product, AMH and Frank are used. For mode choice and departure time choice models, multinomial logit and bivariate logit models are used, respectively and finally, a BL-MNL joint model is used to create linkage be

    Car ownership: A joint model for number of cars and fuel types

    Seyedehsan Seyedabrishami, Arash Rasa Izadi, Hema Sharanya Rayaprolu, Rolf Moeckel
    Journal PaperTransportation Research Procedia , Volume 41 , 2019 January 1, {Pages 572-576 }

    Abstract

    Seyedehsan Seyedabrishami et al./Transportation Research Procedia 41 (2019) 572–576 573 2 Seyedabrishami, Seyedehsan et al./Transportation Research Procedia 00 (2016) 000–000 dependent variables (Graham and Glaister 2002). The shortcoming is that this design only considers the effect of one decision on another decisions and ignores the interactions between these decisions. Some other studies use nested logit methods, in which upper and lower levels of the model are attributed to each decision (Dissanayake and Morikawa 2010). This design does not represent well the simultaneous decision-making concept. A drawback of the nested logit structure is that the modeler needs to specify a nesting structure that dictates cross-elasticities betwee

    A local search algorithm for finding optimal transit routes configuration with elastic demand

    Amirali Zarrinmehr, Mahmoud Saffarzadeh, Seyedehsan Seyedabrishami
    Journal PaperInternational Transactions in Operational Research , Volume 25 , Issue 5, 2018 September , {Pages 1491-1514 }

    Abstract

    This paper proposes a new local search algorithm for finding the optimal configuration of subroutes from a set of candidate transit routes in a transportation network. It is intended to maximize the transit ridership while holding the budget constraint. In each iteration of the algorithm, route segments that are likely to absorb more transit passengers are added to the configuration and less‐contributing segments are removed, instead. A path‐based model with elastic demand is applied for traffic assignment problem. The algorithm takes advantage of the equilibrium paths information to speed up the calculations for emerging configurations. A numerical experiment on Sioux‐Falls network indicates that the proposed algorithm can achieve h

    Modeling the Intra City Tours with Work Purpose by Using Weighted Multiple Regressions

    AR Mahpour, S Seyedabrishami, AR Mamdoohi, AH Baghestani
    Journal Paper , Volume 50 , Issue 100141, 2018 January 1, {Pages 139-148 }

    Abstract

    In this paper by using the aggregate socioeconomic features of each zone and considering the land use prosperities, the aggregate zonal tours were modeled. For that, classic 4-step modeling database was utilized in which less data collection cost needs. Due heteroscedasticity, appling weighted least square (WLS) method led to multiple weighted regressions by two exogenous independent variables; population and number of employers in zone. Heteroscedasticity affect the efficiency of regression. In comparing of two model, the F test of WLS method growth 27 percent and the amount t students for population reduced from 2.79 to 2.27 that in negligible. On the other hand, the amount of t students for number of employers increases from 2.62 to 3.40

    Hotel Accommodation Impacts on Air Itinerary Choice

    Majid ZabihiTari, Akram Mazaheri, Seyedehsan Seyedabrishami, Mahmoud Saffarzadeh
    Journal Paper , Issue 18-03316, 2018 January , {Pages }

    Abstract

    While a great deal of studies have been carried out on measuring the relative importance of different air itinerary and socio-economic attributes on itinerary demand prediction, no study have been carried out regarding the impact of other attributes such as hotel accommodation on air itinerary choice, especially in Iran. The primary focus of this study is to measure the impacts of hotel accommodation on air itinerary demand. In this respect, multinomial logit and mixed Multinomial logit models were estimated based on stated preference survey from Iranian passengers travelling from Tehran to Istanbul through Imam Khomeini airport. The results suggest that adding hotel to air itinerary can influence air itinerary choice and share. Furthermore

    Surveillance camera location problem for route-flow observation in urban transportation networks: bi-level formulation and solution algorithm

    Amirali Zarrinmehr, Mehdi Meshkani, Seyedehsan Seyedabrishami
    Journal PaperInternational Journal of Systems Science: Operations & Logistics , Volume 5 , Issue 4, 2018 October 2, {Pages 327-338 }

    Abstract

    This paper deals with the surveillance camera location problem in an urban transportation network. In a bi-level model, it is intended to maximise route-flow observation in the upper-level problem, while simultaneously taking into account the drivers’ response to the position of cameras in the lower level. To solve the problem, a greedy solution algorithm is proposed that iteratively assigns the new surveillance camera to the link with maximum ‘net’ traffic flow, and updates the equilibrium traffic flows according to the drivers’ response. The proposed algorithm can be applied, in a heuristic approach, to the networks in which there are unique path-flow solutions for the majority of O–D pairs. Numerical experiments are conducted o

    Current Teaching

    • MS.c.

      Transportation Demand

    • MS.c.

      Transportation Systems Analysis and Evaluation

    Teaching History

    • MS.c.

      Fundamentals of Transportation Projects Evaluation

    • MS.c.

      Operations Research in Transportation

    • 2019
      Sirati Sabet, Ali
      Short-term estimation and prediction of bus passenger origin-destination demand using smart card and AVL
    • 2020
      Azarasa, Negar
    • 2020
      Mousavi, Seyedeh zeinab
    • 2020
      Naderi, Marziye
    • 2019
      Iranmanesh, Maryam
      Safety status analysis model using spatial and temporal data of accidents
    • "Visiting Professor at Technical University of Munich - Teaching Course entitled "Transport Planning in Developing Countries
    • Georg Forster Fellowship as an experienced researcher - Alexander von Humboldt Foundation -Germany
    • Head of Applied Research & Technology Office - Tarbit Modares University
    • Head of Computer Site of Faculty of Civil and Environmental Engineering
    • Project Manager in Smart System in Forecasting Traffic Status in Iran Rural Network
    • Project Manager in Smart Monitoring of Safety in Iran Rural Network
    • Project Manager in Smart Forecast of Travel Demand of Tehran Bus Transportation System
    • Project Manager in Trip Distribution Model of Iran Comprehensive Transportation Study

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