@article { author = {Taherkhani, Hasan and Zoorob, Salah and Noorian, Farid}, title = {Evaluation of the indirect tensile strength of asphalt concrete containing reclaimed asphalt pavement and waste oils using response surface method}, journal = {International Journal of Transportation Engineering}, volume = {8}, number = {2}, pages = {115-132}, year = {2020}, publisher = {Tarrahan Parseh Transportation Research Institute}, issn = {2322-259X}, eissn = {2538-3728}, doi = {10.22119/ijte.2020.191984.1486}, abstract = {In spite of many environmental and economical advantages of using reclaimed asphalt pavement (RAP) in the production of asphalt mixtures, many technical issues remain not very well understood and require further investigation, including the interactions between RAP content, rejuvenator type and rejuvenator content, and their combined effects on engineering properties of the resultant asphalt mixtures. In this study, statistical modeling tools were utilized to gain greater insight into the aforementioned interactions. The indirect tensile strength (ITS), an important engineering property which is related to the resistance against cracking and rutting of asphalt mixtures, has been selected as the primary engineering characterization tool in this investigation. The ITS of asphalt concrete mixes containing RAP (at 25, 50 and 75% by weight of total aggregates) and incorporating waste engine oil (WEO) and waste cooking oil (WCO) as rejuvenating agents (at 5, 10 and 15% by weight of total binder) was investigated using response surface methodology (RSM). As expected, the ITS was found to increase with increasing RAP content and to decreases with increasing oil content. Results also revealed that incorporating WEO resulted in higher ITS of the asphalt mixes compared to WCO. Interaction plots of test results show that the increase of ITS with increasing RAP content depends on the oil content, with higher rate for mixtures with lower oil content, and is independent of oil type. Optimization of ITS in RSM reveals that using 75% of RAP and 5% of WEO results in the highest indirect tensile strength of the mixture.}, keywords = {RAP,Waste cooking oil,waste engine oil,response surface method,Indirect Tensile Strength}, url = {http://www.ijte.ir/article_112859.html}, eprint = {http://www.ijte.ir/article_112859_65d41f1d9219f07c25e8b03516c86f80.pdf} } @article { author = {Dhakar, Santosh and JAIN, Sarvesh}, title = {Improving Clay of Intermediate Plasticity for Rural Road Sub-Grades – A Case Study}, journal = {International Journal of Transportation Engineering}, volume = {8}, number = {2}, pages = {133-148}, year = {2020}, publisher = {Tarrahan Parseh Transportation Research Institute}, issn = {2322-259X}, eissn = {2538-3728}, doi = {10.22119/ijte.2020.227146.1515}, abstract = {Many regions of the world are affected by soils with poor engineering properties. This has significant influence on infrastructure development of the region. Design and construction of civil engineering structures on such soils has always been a challenging task for engineers. Stabilization has been recommended and used to overcome the weakness of these soils and making the condition appropriate for construction of structures or laying of the roads. This paper presents a systematic experimental investigation undertaken to explore the possibility of using stabilizing materials for improving the engineering properties of soil of type clay with intermediate plasticity. Effectiveness of commonly used stabilizing materials viz. cement, lime, and fly ash is investigated. Further, using the CBR values of the soil obtained for different quantity of stabilizing material, the sub-grade of pavement for rural roads was designed following the guidelines recommended by Indian Road Congress. Cost estimation per km of sub-grade for rural road pavement is done for all the designed sub-grades. Cost analysis for sub-grades of rural road pavement shows that 2% cement is the most economical option for improvement of properties of such clays. However, combination of (4% lime & 4% fly ash) as stabilizing agent is more attractive because, without any noticeable increase in the cost, it also helps in protecting environment by (i) enabling significant disposal of fly ash, a non-decomposable waste material and (ii) reduction in cement consumption and in turn reduction in emission of harmful gases, which are released during cement production.}, keywords = {Soil Improvement,Intermediate plasticity,Rural Pavement,Sub-grade thickness,Cost Comparison}, url = {http://www.ijte.ir/article_113631.html}, eprint = {http://www.ijte.ir/article_113631_060089da87997b9e35f89a7147fe25db.pdf} } @article { author = {Dolatalizadeh, Maryam and Boroujerdian, Amin Mirza and Seyedabrishami, Seyed Ehsan}, title = {Analysis of Speed Profiles at An Unsignalised Intersection for Left Turning Vehicles}, journal = {International Journal of Transportation Engineering}, volume = {8}, number = {2}, pages = {149-163}, year = {2020}, publisher = {Tarrahan Parseh Transportation Research Institute}, issn = {2322-259X}, eissn = {2538-3728}, doi = {10.22119/ijte.2020.163493.1448}, 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 initial speed of left-turning vehicles, the exposure with other vehicles, and the vehicle type (i.e., taxi versus other vehicles) are investigated on the choice of speed profile. A multinomial logit model is utilized to explain how various variables influence the choice of speed profile. The estimated model indicates that the initial speed and the exposures are influential parameters. Also, vehicles with left exposure at intersections increase the drivers’ tendency for selecting type (A) profile while they have low to medium initial speeds when entering the intersections. For the vehicles with high initial speeds, most drivers pass the intersection with type (B) profile. Vehicles with low initial speeds and a low number of exposures increase the probability of selecting type (C) profile. Introduced method can be applied for simulation models at unsignalised intersection to show how drivers will behave in left-turning movements.}, keywords = {speed profile,unsignalised intersection,left turning,Multinomial Logit Model}, url = {http://www.ijte.ir/article_113789.html}, eprint = {http://www.ijte.ir/article_113789_514af9dce07b216d56f273d1bb7ac687.pdf} } @article { author = {Karimi, Hadi and Shetab Boushehri, Sayed Nader and Nasiri, Ramin}, title = {Origin-Destination Matrix Estimation Using Socio-Economic Information and Traffic Counts on Uncongested Networks}, journal = {International Journal of Transportation Engineering}, volume = {8}, number = {2}, pages = {165-183}, year = {2020}, publisher = {Tarrahan Parseh Transportation Research Institute}, issn = {2322-259X}, eissn = {2538-3728}, doi = {10.22119/ijte.2020.178841.1474}, abstract = {The travel demand matrix, also known as an origin-destination matrix (OD matrix), is essential in transportation planning. Given their nature and extent of operation, direct methods of estimating the matrix often impose unusually high costs in terms of both time and human resources. Thus, over the past three decades, numerous attempts have been made to propose indirect methods of estimating and updating the OD matrix. Using traffic counts to estimate the OD matrix is one of those indirect methods. However, because there are insufficient of traffic counts, indirect methods mostly lead to multiple OD matrices. One way to overcome this drawback is to use a previously estimated matrix from available data (called the old matrix) for new matrix estimation. Since uncongested networks rarely suffer from congestion, they have not been at the center of attention by researchers and transportation planners; thus, no old OD matrix is available for these networks. This study proposes a two-stage approach for estimating the OD matrix on uncongested networks. Firstly, an initial OD matrix is built using a travel distribution model (e.g., gravity model) together with local socio-economic information and available traffic counts across the network. Secondly, by considering budget constraints and using Bayesian inference, the optimum counting sensor locations are determined and by applying the collected information and the precision of the initial OD matrix is improved. To evaluate the proposed solution, the algorithm is then applied to the Sioux Falls network. The results prove the efficiency and precision of the approach.}, keywords = {OD matrix estimation,sensor location problem,counting sensor,Uncongested Networks,Sioux Falls network}, url = {http://www.ijte.ir/article_114975.html}, eprint = {http://www.ijte.ir/article_114975_43acaad2308ffc40562413e5497c9313.pdf} } @article { author = {Mohammadi, Majid and Dideban, Abbas and Lesani, Asad and Moshiri, Behzad}, title = {An Implementation of the AI-based Traffic Flow Prediction in The Resilience Control Scheme}, journal = {International Journal of Transportation Engineering}, volume = {8}, number = {2}, pages = {185-198}, year = {2020}, publisher = {Tarrahan Parseh Transportation Research Institute}, issn = {2322-259X}, eissn = {2538-3728}, doi = {10.22119/ijte.2020.218863.1509}, abstract = {Today, often a reliable and dynamic sensor system is found to be necessary to control intelligent transportation systems. While these dynamical sensor systems are often found to be useful for the ordinary situations, the resilience-control-related issues are not yet fully addressed in the literature. The traffic flow is an important resource, which if found to be disturbed by a malicious threat it may cause further insecurities, e.g. if the sensor data is not accessible due to a malicious sabotage of the on-the-road sensors. Furthermore, often centers for the data gathering and prediction are suffering from data-loss because of imperfections of the data gathering itself. To overcome the resulting difficulties, a prediction engine is required to estimate the traffic flow, with the ability to compensate for the lost sensors. In this paper, a traffic flow prediction engine is proposed in which the artificial-intelligence-based methods are used to perform the optimization task. This method is implemented for the test in the real-world situation and its efficiency in traffic estimation is proved to be reliable. The Adaptive Neuro-Fuzzy Inference System (ANFIS) is trained with the particle swarm optimization (PSO) algorithm and the Artificial Neural Network model (ANN) is used to predict the flow. In addition, The Principal Components Analysis (PCA) method is adopted to reduce the dimension of the features. The results show the method's efficiency in predicting the traffic flow. This prediction engine can be practically implemented and used as a replacement for the sensors to predict the traffic flow.}, keywords = {intelligent methods,Traffic Estimator Engine,Reliable Sensor System,principal components analysis}, url = {http://www.ijte.ir/article_119871.html}, eprint = {http://www.ijte.ir/article_119871_96c19f4926449c966112ad1ae26c6431.pdf} } @article { author = {Khabiri, Mohammad Mehdi and Kumar, Rajiv and Majidi Shad, Mohammad Mehdi}, title = {Effect of Fine Recycled Asphalt Aggregates and Cement Additives on the Sandy Subgrade Performance}, journal = {International Journal of Transportation Engineering}, volume = {8}, number = {2}, pages = {199-210}, year = {2020}, publisher = {Tarrahan Parseh Transportation Research Institute}, issn = {2322-259X}, eissn = {2538-3728}, doi = {10.22119/ijte.2020.177294.1469}, abstract = {IIn different parts of the world, road pavements are on dune sandy subgrade, where road construction is not possible without amendments. In this regard, various methods, such as mixing soil with other materials like lime, cement, bitumen, geotextiles, chemical compounds, etc to improve the soil grading, have been considered. In this research, the simultaneous effect of incorporating fine reclaimed asphalt pavement aggregates (FRAPA) for improving grading and cement application as the binder of the dune sand was investigated to enhance subgrade strength properties. The soil was mixed and replaced by three different doses of crushed recycled asphalt FRAPA (5, 15, and 25 percent). Similarly, the soil was replaced by 2.5, 5, and 7.5 percent of cement; in each mixing step, samples were prepared using static compaction method. Specimens were tested in uniaxial compressive strength (UCS) after saturation at the temperature of 25°C for 3 and 7 days curing period. Some of the results of this study showed that the increase of cement itself does not have much effect on increasing the strength properties of the soil but the use of FRAPA can significantly improve its properties. The maximum compressive stress strength and soil elastic modulus were obtained in the ratio of mixing 7.5% cement and 15% FRAPA. In the next step, the experimental results were selected as inputs in the numerical models and from the results of the finite element analysis the optimal thickness for subgrade improvement was chosen; where the thickness of 20 cm was obtained accordingly.}, keywords = {Fine Recycled Asphalt Pavement Aggregates (FRAPA),Dune Sand,Cement Additives,Pavement Subgrade,Flexible Pavement Modeling}, url = {http://www.ijte.ir/article_120068.html}, eprint = {http://www.ijte.ir/article_120068_d9c477f72967d2e75799d4d41002e46b.pdf} }