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RISS 인기검색어
- 검색키워드
- 저자 : Amir Abbas Rassafi (검색결과 4 건)
- 무료
- 기관 내 무료
- 유료
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Highway traffic noise modeling and estimation based on vehicles volume and speed
Rassafi, Amir Abbas,Ghassempour, Jafar Techno-Press 2015 Advances in environmental research Vol.4 No.4
Traffic noise estimation models are useful in evaluation of the noise pollution in current circumstances. They are helpful tools for design and planning new roads and highways. Measurement of average traffic noise level is possible when traffic speed and volume are known. The objective of this study was to devise a model for prediction of highway traffic noise levels based on current traffic variables in Iran. The design of this model was to take the impact of traffic congestion into consideration and to be field tested. This study is a library research augmented by field study conducted on Saeedi Highway located south west of Tehran. The period for the field study lasted 5 days from 7-12 February, 2013. This study examined liner and non-liner methods in formulation of its model. Liner method without a fixed coefficient was the best fit for the intended model. The proposed model can serve as a decision making tool to estimate the impact of key influential factors on sound pressure levels in urban areas in Iran.
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Agent-Based Simulation for Pedestrian Evacuation Behaviour Using the Affordance Concept
Sajjad Hassanpour,Amir Abbas Rassafi 대한토목학회 2021 KSCE JOURNAL OF CIVIL ENGINEERING Vol.25 No.4
Simulation modelling is a necessary tool to analyse pedestrian movement behaviour in order to predict the social and collective behaviour in different situations. Psychological aspects of human behaviour in interacting with the environment is the critical point in the pedestrian simulation context. The affordance theory originated from psychology and humanities is a key concept to address this issue and model the relationship between an agent and his/her environment. This study aims to introduce a prototype of an agent-based model using the affordance concept to simulate the decision-making process during an evacuation. The proposed approach was tested to model the behaviour of evacuees in a platform of a subway station through both normal and emergencies. The results of the test including the evacuation time and flows toward different scenarios, showed that the model can work properly. The proposed approach can yield a useful tool for designers to mention pedestrian movement behaviour in their building designs.
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Vehicle Safety Analysis based on a Hybrid Approach Integrating DEMATEL, ANP and ER
S. R. Seyedalizadeh Ganji,Amir Abbas Rassafi,Ali Abdi Kordani 대한토목학회 2018 KSCE JOURNAL OF CIVIL ENGINEERING Vol.22 No.11
Vehicle related safety is the principal focus of many agencies and organizations targeting road safety issues. There are many conflicting factors contributing to safety in motor vehicle operations. Unfortunately, the lack of reliable crash data makes it extremely difficult to evaluate the crash causations associated with defective vehicles. Furthermore, clarifying the interrelationships among vehicle related factors causing accidents is very complicated when the conventional decision techniques are used. This study aims to employ a hybrid decision method based on DEMATEL (decision-making trial and evaluation laboratory) and ANP (Analytic Network Process) to construct an Influence Relations Map (IRM) as well as obtain the influential weight of vehicle-related criteria. An empirical case study is provided to demonstrate the implementation process. This paper also employs an Evidential Reasoning algorithm (so-called ER) for assessing the inter-city buses in terms of vehicle safety in order to deal with the uncertainties associated with incomplete input data. The ER improves decision making process by using a belief decision matrix and the Demspster-Shafer theory of evidence. The results and findings reveal that the braking system is the most important criterion impacting vehicle safety, followed by fuel supply and electrical systems.
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Seyedreza Seyedalizadeh Ganji,Amir Abbas Rassafi 대한토목학회 2019 KSCE JOURNAL OF CIVIL ENGINEERING Vol.23 No.2
Road crashes leading to death or severe injuries have long been a major public concern. Road safety specialists recently became interested in using decision-making methods to evaluate Road Safety Performance (RSP). In this regard, Data Envelopment Analysis (DEA) has been frequently implemented as an effective tool for analyzing RSP. It is noteworthy that RSP has always been measured by taking into account only the efficient frontier (called optimistic DEA), but RSP can also be measured based on the anti-efficient frontier (called pessimistic DEA). In addition, Cross Efficiency Method (CEM) is now known as an effective DEA-based approach for unique ranking of Decision-Making Units (DMUs). CEM typically uses a linear average method to aggregate target DMUs, which does not reflect the preference structure of Decision Makers (DMs). It was recently argued that a nonlinear method of aggregation, Evidential Reasoning Approach (ERA), can appropriately reflect DM's preference structure. Therefore, this study aims to present a Double-Frontier CEM aggregated by ERA (called DF-CEM-ERA) in order to evaluate RSP, taking into account the DM's preference structure. To illustrate the implementation process of ERA in aggregating the cross efficiency and anti-efficiency matrices, two evaluation case studies on RSP are presented.
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