@article { author = {Amini, Behnam and Javanmardi, Mahmood and Mohammadian, Kouros}, title = {Application of Hazard Based Model for Housing Location Based on Travel Distance to Work}, journal = {International Journal of Transportation Engineering}, volume = {2}, number = {4}, pages = {267-278}, year = {2015}, publisher = {Tarrahan Parseh Transportation Research Institute}, issn = {2322-259X}, eissn = {2538-3728}, doi = {10.22119/ijte.2015.10440}, abstract = {Residential location choice modeling is one of the areas in transportation planning that attempts to examine households location search behavior incorporating their trade-offs between housing quality, prices or rents, distance to work and other key factors. This brings up the need to come up with methods to logically allocate credible choice alternatives for individuals.This article attempts to provide a detailed study of this practice to develop a modeling framework that can replicate the choice process. In order to show the potential of the method, a decision criterion—maximum distance to work—is considered the potential attribute that the household evaluates for feasible housing alternatives. It is postulated that alternatives will only be included in the choice set if the maximum work distancesatisfies the household thresholds. This research explores the application of proportional hazard models in the housing search process. Some of the specifications of hazard-based models that are typically used on temporal data are examined on work distance. A log-logistic function is used for hazard base-line. The study has used the household travel behavior survey conducted by Chicago Metropolitan Agency for Planning (CMAP). Furthermore, several extensive land use and transportation related data sources are incorporated to complement the scope of the modeling results.}, keywords = {Residential Location,spatial structure,Hazard-Based Models,Commute Distance}, url = {http://www.ijte.ir/article_10440.html}, eprint = {http://www.ijte.ir/article_10440_9aa6d4b421c905e35559a156f4376005.pdf} } @article { author = {Mamdoohi, Amir Reza and Saffarzadeh, Mahmoud and Shojaat, Siavash}, title = {Capacity Drop Estimation Based on Stochastic Approach Applied to Tehran-Karaj Freeway}, journal = {International Journal of Transportation Engineering}, volume = {2}, number = {4}, pages = {279-288}, year = {2015}, publisher = {Tarrahan Parseh Transportation Research Institute}, issn = {2322-259X}, eissn = {2538-3728}, doi = {10.22119/ijte.2015.10441}, abstract = {Existence of capacity drop phenomenon, as the difference between pre-queue and queue discharge flow rates, has been one of the controversial concepts of traffic engineering. Several researches have focused on capacity drop existence and also its estimation issues. This paper aims to estimate capacity drop based not only on a comparison between breakdown and queue discharge flow rates, but also on the estimation of the capacity distribution function before and after breakdown. In the empirical case, speed and flow rate data are collected in a section of Iran’s most crowded freeway for four months, based on which the threshold speed as the boundary between congested and non-congested flow is determined, and breakdown flow rates and their subsequent queue discharge flows are detected. Paired t-test between pre-queue and queue discharge flow rates is conducted to find the mean difference. Also, the distribution function of capacity under non-congested and congested flow is estimated using maximum likelihood and product limit methods. Based on the 11,600-record data set, it was observed that end results of both methods are consistent, revealing roughly five percent drop in capacity for the section under investigation.}, keywords = {capacity drop,stochastic approach,probability distribution function}, url = {http://www.ijte.ir/article_10441.html}, eprint = {http://www.ijte.ir/article_10441_5c64035aa4e27899be1257fb6ebfc4f0.pdf} } @article { author = {Mohammadzadeh, Saeed and Mosayebi, Seyed Ali}, title = {Dynamic Analysis of Axially Beam on Visco - Elastic Foundation with Elastic Supports under Moving Load}, journal = {International Journal of Transportation Engineering}, volume = {2}, number = {4}, pages = {289-296}, year = {2015}, publisher = {Tarrahan Parseh Transportation Research Institute}, issn = {2322-259X}, eissn = {2538-3728}, doi = {10.22119/ijte.2015.10442}, abstract = {For dynamic analyses of railway track structures, the algorithm of solution is very important. For estimating the important problems in the railway tracks such as the effects of rail joints, rail supports, rail modeling in the nearness of bridge and other problems, the models of the axially beam model on the elastic foundation can be utilized. For studying the effects of axially beam on the elastic foundation, partial differential equations which represent the independent variables should be utilized because of the beams have infinite degrees of freedom. In this paper, solution algorithm and process of the axially beam on the elastic foundation by considering the elastic supports under moving load have been studied and equations have been analyzed as closed form. The beam model includes visco – elastic foundation and elastic supports conditions. For considering the beam element, axial force has been considered beside of shear and moment forces. The solution algorithm is that firstly the differential equations of beam on the elastic foundation with elastic supports are derived and then these equations are solved parametrically by using separation of variables and orthogonality properties of modes. This process and solution have been presented as closed form in this paper. This problem wasn’t investigated in the technical literature. This model can be utilized for the most problems in the railway tracks. The advantage of this paper is presentation of algorithm and process of parametric solution for an axially beam on the visco - elastic foundation with elastic supports.    }, keywords = {Railway track,Dynamic analysis,Axially Beam on elastic foundation,Elastic supports}, url = {http://www.ijte.ir/article_10442.html}, eprint = {http://www.ijte.ir/article_10442_ae51e2971aadb0f1fbff764eb0d7fe33.pdf} } @article { author = {Panda, Mahabir and Prakash Giri, Jyoti and Bikash Sutradhar, Bidyut}, title = {Influence of Setting Time of Tack Coat on Bond Strength of Bituminous Paving Layers}, journal = {International Journal of Transportation Engineering}, volume = {2}, number = {4}, pages = {297-306}, year = {2015}, publisher = {Tarrahan Parseh Transportation Research Institute}, issn = {2322-259X}, eissn = {2538-3728}, doi = {10.22119/ijte.2015.10443}, abstract = {Poor adhesion between two successive bituminous layers causes adverse effects on the structural strength of the pavement and develops a numbers of premature failure. To improve the adhesion, it is a general practice to apply a tack coat over an existing or newly constructed bituminous surface before laying another bituminous layer. The main objective of this study is to explore the influence of setting time of tack coat material on the bond strength of a bituminous layer combination. The influence of tack coat type, application rate and test temperature on the interlayer bond strength (ILBS) have also been studied. Two types of bituminous emulsions (CRS 1 and CMS 2) and two types of bituminous binders (VG 10 and VG 30) have been selected as tack coat for a typical bituminous layer combination. When no tack coat is used, the influence of time interval between laying of the two successive bituminous layers has also been studied. A specially fabricated attachment (named interlayer bond strength testing device) has been used by fitting it to the loading frame of a Marshall testing apparatus. It is observed that the ILBS depends on setting time, test temperature, tack coat type and application rate of a tack coat. Out of the four tack coat materials, CMS 2 offers the maximum ILBS with minimum quantity requirements in the bituminous layer combination considered. The highest ILBS is observed when no tack coat is used, however the upper layer is to be laid and compacted immediately after the lower layer.}, keywords = {Interlayer bond strength,emulsion,Interlayer bond strength testing device,Marshall Testing Apparatus}, url = {http://www.ijte.ir/article_10443.html}, eprint = {http://www.ijte.ir/article_10443_ca2e461c460ede238e9d0f2b017107ac.pdf} } @article { author = {Shirgir, Behrooz and Mamdoohi, Amir Reza and Hassani, Abolfazl}, title = {Prediction of Pervious Concrete Permeability and Compressive Strength Using Artificial Neural Networks}, journal = {International Journal of Transportation Engineering}, volume = {2}, number = {4}, pages = {307-316}, year = {2015}, publisher = {Tarrahan Parseh Transportation Research Institute}, issn = {2322-259X}, eissn = {2538-3728}, doi = {10.22119/ijte.2015.10444}, abstract = {Pervious concrete is a concrete mixture prepared from cement, aggregates, water, little or no fines, and in some cases admixtures. The hydrological property of pervious concrete is the primary reason for its reappearance in construction. Much research has been conducted on plain concrete, but little attention has been paid to porous concrete, particularly to the analytical prediction modeling of its permeability. In this paper, two important aspects of pervious concrete due to permeability and compressive strength are investigated using artificial neural networks (ANN) based on laboratory data. The proposed network is intended to represent a reliable functional relationship between the input independent variables accounting for the variability of permeability and compressive strength of a porous concrete. Results of the Back Propagation model indicate that the general fit and replication of the data regarding the data points are quite fine. The R-square goodness of fit of predicted versus observed values range between 0.879 and 0.918 for the final model; higher values were observed for the permeability as compared with compressive strength and for the train data set rather than the test data set. The findings can be employed to predict these two important characteristics of pervious concrete when there are no laboratorial data available.}, keywords = {Porous concrete,Neural Network,Permeability,Compressive strength}, url = {http://www.ijte.ir/article_10444.html}, eprint = {http://www.ijte.ir/article_10444_3a15c79432e94ccfc1d56a61ea96a5ef.pdf} } @article { author = {Thabassum, Shabana}, title = {Correlation between Deflection and Unevenness Index for Evaluation of Flexible Pavements}, journal = {International Journal of Transportation Engineering}, volume = {2}, number = {4}, pages = {317-322}, year = {2015}, publisher = {Tarrahan Parseh Transportation Research Institute}, issn = {2322-259X}, eissn = {2538-3728}, doi = {10.22119/ijte.2015.10445}, abstract = {Evaluating existing flexible pavement condition is a pre-requisite to choose improvement technique that has to be adopted to enhance its quality. To evaluate existing pavements, non-destructive testing methods are desirable. Benkelman Beam and 5th Wheel Bump Integrator are used to conduct non-destructive tests like deflection and roughness surveys on the existing pavement of 4 lane divided carriageway of Nandigama – Ibrahimpatnam section of NH-9 in the state of Andhra Pradesh (India). In this paper, an attempt has been made to develop and validate linear and logarithmic models between deflection and unevenness index for pavement under study and the correlation between these two parameters. The section selected for model validation is Naidupet – Sullurpet section of NH-5 in the state of Andhra Pradesh. It is found that validated unevenness index (UI) values from the model are 90% similar with the UI values obtained from roughness survey at second location. Conducting deflection and roughness surveys cost around. 2,00,000 per Km and is time consuming. The objective of the study is to develop a relation between deflection and unevenness index, such that, if one parameter is known, the second parameter can be calculated and hence, the survey time and cost can be minimized.}, keywords = {flexible pavement,Benkelman Beam,5th Wheel Bump Integrator,Unevenness index,Correlation,Roughness survey}, url = {http://www.ijte.ir/article_10445.html}, eprint = {http://www.ijte.ir/article_10445_a080b00a83df511dda6b91c3456b5b74.pdf} } @article { author = {Ahmed Mousa Ali, Mahmoud}, title = {Lessons for Policy Makers in Non-High Speed Rail Countries: A Review}, journal = {International Journal of Transportation Engineering}, volume = {2}, number = {4}, pages = {323-338}, year = {2015}, publisher = {Tarrahan Parseh Transportation Research Institute}, issn = {2322-259X}, eissn = {2538-3728}, doi = {10.22119/ijte.2015.10446}, abstract = {High speed intercity passenger rail is an inherently strong railway application. It operates over 250 km/hour. For perspective, high-speed represents the ultimate development of preexisting standard gauge infrastructure. Network of high-speed passenger rail lines aimed at reducing accident, reducing traffic congestion, air pollution cutting national dependence on foreign oil and improving rural and urban environments.  In implementing such a program, it is essential to identify the factors that might influence decision making and the eventual success of the high-speed rail (HSR) project, as well as foreseeing the obstacles that will have to be overcome. In this paper we review, summarize the most important HSR projects carried out to date around the globe, namely those of France, Germany, Spain, Japan and China. We focus our attention on the main issues involved in the undertaking of HSR projects: their impact on mobility, the environment, the economy and on urban centers. By so doing, we identify lessons for policy makers and managers working on the implementation of HSR projects in Egypt. The conclusion is that there is likely to be a good case for the lessons to benefits in Egypt and developing countries.}, keywords = {high-speed rail,transportation between cities,government investment,Transport Planning,and rail costs}, url = {http://www.ijte.ir/article_10446.html}, eprint = {http://www.ijte.ir/article_10446_2a3b4ebe87d16ba04090e7e3d56d4204.pdf} } @article { author = {Saw, Krishna and Katti, B. K. and Joshi, G.}, title = {Literature Review of Traffic Assignment: Static and Dynamic}, journal = {International Journal of Transportation Engineering}, volume = {2}, number = {4}, pages = {339-347}, year = {2015}, publisher = {Tarrahan Parseh Transportation Research Institute}, issn = {2322-259X}, eissn = {2538-3728}, doi = {10.22119/ijte.2015.10447}, abstract = {Rapid urban growth is resulting into increase in travel demand and private vehicle ownership in urban areas. In the present scenario the existing infrastructure has failed to match the demand that leads to traffic congestion, vehicular pollution and accidents. With traffic congestion augmentation on the road, delay of commuters has increased and reliability of road network has decreased. Four stage travel demand modelling is one of the transportation planning tools that used to evaluate the impact of future changes in demographics, land use and transportation facilities on the performance of city’s transportation system. However, this planning tool does not cover the dynamic properties of flow precisely and ineffective for traffic management and this planning tolls has several unrealistic assumption such as travel time on link do not vary with the link flows, trip makers have precise knowledge of the travel time on the link. Therefore, it is needed to revisit the available tool and explore new planning tool which is sensitive to present traffic pattern of the city.  Evolution and operation of Information Transportation System; Advanced Traveller Information System (ATIS) and Advanced Traveller Management Systems (ATMS) give rise of dynamic based travel demand modelling which covers dynamic nature of flow over time and space. Dynamic travel demand modelling provides better planning and management scope in view of this research focus has been diverted to dynamic traffic assignment (DTA). The main aim of DTA is to manage traffic in a network through real-time measurement, detection, communication, information provision, and control. Here, effort has been made to study the Static Traffic Assignment (STA) and Dynamic Traffic Assignment (DTA) with special focus on limitations of STA.}, keywords = {Static traffic assignment,Dynamic Traffic Assignment,Intelligent Transportation System,Dynamic Flow}, url = {http://www.ijte.ir/article_10447.html}, eprint = {http://www.ijte.ir/article_10447_601e028de3b6faafba6f746d7a6f2dc5.pdf} }