@article { author = {Ghavidel Abraghan, Reza and Afandizadeh Zargari, Shahriar}, title = {Developing a Model for Estimating Weaving and Non-Weaving Speed within Highways Weaving Segments (Tehran)}, journal = {International Journal of Transportation Engineering}, volume = {4}, number = {2}, pages = {75-86}, year = {2016}, publisher = {Tarrahan Parseh Transportation Research Institute}, issn = {2322-259X}, eissn = {2538-3728}, doi = {10.22119/ijte.2016.40533}, abstract = {In weaving section due to a strong need for lane changing, a type of turbulence is created in traffic flow; so, the speedand the capacity of the weaving section decreases. Therefore, investigation of the weaving section is very important.However, due to shortage of the manual for urban principal arterials (highways), calibration of these models is necessary.One of these models that are used to evaluate the level of service of the weaving sections is speed model whichwill be developed in this paper. Thus, data of the lane-changing rates and travel time (speed) have been collected in9 principal arterials of Tehran. Then, two models for estimating of weaving and non-weaving speed are developed.Validations also confirm the accuracy of the developed models. Exploration of these developed models reveals thatspeed decreases by increasing the weaving intensity. In addition, Comparison of the developed models and HCM 2010for similar condition shows that the developed models estimate more than the HCM 2010 model.}, keywords = {Weaving speed,Non-weaving speed,weaving section,urban principal arterials}, url = {http://www.ijte.ir/article_40533.html}, eprint = {http://www.ijte.ir/article_40533_ed3c3b99861be6d23c997871b982e46e.pdf} } @article { author = {Boroujerdian, Amin Mirza and Nemati, Morteza}, title = {Pedestrian Gap Acceptance Logit Model in Unsignalized Crosswalks Conflict Zone}, journal = {International Journal of Transportation Engineering}, volume = {4}, number = {2}, pages = {87-96}, year = {2016}, publisher = {Tarrahan Parseh Transportation Research Institute}, issn = {2322-259X}, eissn = {2538-3728}, doi = {10.22119/ijte.2016.40534}, abstract = {Pedestrians are the most vulnerable road users. For evaluating and modifying pedestrian safety in unsignalized crosswalks,the first important issue is to identify and explore factors affecting the interaction behavior of pedestrians andvehicles in conflict areas. By analyzing those factors and determining how they affect road user's behavior, we canrepresent the plans and procedures to promote awareness and safety of both pedestrians and drivers. The goal of thisarticle is to study pedestrian decision making behavior in unsignalized crosswalks and to determine factors affectingthe crossing behavior in conflict areas. The supposed goal of this study was assessing how each factor can influencepedestrian-vehicle conflict behavior by means of developing logistic regression models. This work explores a varietyof factors that may impact the gap acceptance behavior of pedestrian to provide a promising decision model. Discretechoice (probit) models of the gap acceptance decision are estimated from observations of pedestrians behavior whencrossing at conflict zone.Analysis results show that variables like vehicle speed change (VSC), pedestrian distance to vehicle lane (PDV), pedestrianage (PA) and vehicle position to the start point of pedestrian (Vp) are effective in Pedestrian gap Acceptance(PGA). Modeling decision making behavior by logit models, resulted in neglected R Square of 0.882 and correctclassification of 94.9 pair wise cases. Area under ROC curve resulted in 0.98 that means the reliability of models isextracted. The results also showed that some variables like vehicle type (VT), waiting time (WT), number of pedestrianswalking in a group (PN) and Gap or Lag are not effective in decision making logit models.}, keywords = {pedestrian,conflict zone,gap acceptance,logit models}, url = {http://www.ijte.ir/article_40534.html}, eprint = {http://www.ijte.ir/article_40534_52d19424c6ebe3bcaa5cb24063690c09.pdf} } @article { author = {Goli, Ahmad and Ziari, Hasan and Amini, A.}, title = {Evaluating the Performance of Crumb Rubber Modified Binders used in Isfahan Province}, journal = {International Journal of Transportation Engineering}, volume = {4}, number = {2}, pages = {97-107}, year = {2016}, publisher = {Tarrahan Parseh Transportation Research Institute}, issn = {2322-259X}, eissn = {2538-3728}, doi = {10.22119/ijte.2016.40535}, abstract = {The performance of asphalt binders at high and low temperatures has an important role on the rutting and crackingresistance of asphalt pavements. Crumb Rubber Modified (CRM) is one of the asphalt modifiers that improves asphaltphysical and mechanical properties and helps reducing environmental pollution. In this research, three unmodifiedand six CRM modified binders were tested using the Superpave test and Performance Grading (PG) system. The MultipleStress Creep and Recovery (MSCR) test was used to assess rutting resistance of rubberized binders. The studycompared the results of this classification with the 7 performance grade binders required for specific climatic zonesin Isfahan Province. The results show that, CRM improves asphalt’s physical and mechanical properties at servicetemperatures and decrease in the non-recoverable compliances (Jnr) in MSCR test. Moreover, CRM binder is sufficientfor the required PGs, while based on MSCR test, it cannot fully cover the traffic level requirements in IsfahanProvince.}, keywords = {crumb rubber,asphalt binder,traffic compatibility,MSCR test,Rheological properties}, url = {http://www.ijte.ir/article_40535.html}, eprint = {http://www.ijte.ir/article_40535_0de1edb71d9bb5aee1b0f440a05ea155.pdf} } @article { author = {Poor Arab Moghadam, Mohsen and Pahlavani, Parham and Naseralavi, Saber}, title = {Prediction of Car Following Behavior Based on the Instantaneous Reaction Time using an ANFIS-CART Based Model}, journal = {International Journal of Transportation Engineering}, volume = {4}, number = {2}, pages = {109-126}, year = {2016}, publisher = {Tarrahan Parseh Transportation Research Institute}, issn = {2322-259X}, eissn = {2538-3728}, doi = {10.22119/ijte.2016.40536}, abstract = {Car-following models are among the most important components of micro traffic flow simulation which is studiedby transportation experts to evaluate new applications of intelligent transportation systems. Until now, several carfollowingmodels have been proposed. An obvious disadvantage of the former models is the great number of parameterswhich are difficult to calibrate. In this paper, a car-following model was modeled and developed by combining anAdaptive Neuro-Fuzzy Inference System (ANFIS) and a Classification And Regression Tree (CART) to simulate andpredict future behavior of each driver-vehicle-unit (DVU). In this model, the reaction time was instantaneously calculatedbased on the time interval between acceleration and relative velocity by the proposed model and was consideredas a new input. The results were compared with the fixed reaction time and the reaction time proposed by Ozaki. Toevaluate the performance of the model, we compared the proposed model's output data with real conditions and it wasfound that the precision of the proposed model was significantly high with regard to the instantaneous reaction time.According the implemented simulation, the proposed model reached a good validity on the basis of proximity to a realsituation of car-following.}, keywords = {Traffic engineering,Car following modeling,Reaction Time,Microscopic Simulation,intelligent transportation system (ITS)}, url = {http://www.ijte.ir/article_40536.html}, eprint = {http://www.ijte.ir/article_40536_96d116ef8e96d1832e8aaf1cf69604ec.pdf} } @article { author = {Sohrabi, Soheil and Ovaici, Khosrow and Ghanbarikarekani, Mina}, title = {Estimating the Capacity of the Basic Freeway Section Using Headway Method in Developing Countries (Case Study: Iran}, journal = {International Journal of Transportation Engineering}, volume = {4}, number = {2}, pages = {127-136}, year = {2016}, publisher = {Tarrahan Parseh Transportation Research Institute}, issn = {2322-259X}, eissn = {2538-3728}, doi = {10.22119/ijte.2016.40537}, abstract = {Although there are remarkable differences in drivers’ behavior as well as vehicles characteristics, road capacity estimationmethods in developing countries are same as developed ones. So, the discrepancy between the theoretical andpractical values of capacity is inevitable. Although, capacity estimation methods can be classified based on numerousparameters, in developing countries, the availability of data is a remarkable factor to choose the appropriate method.Headway method is one of the most popular methods which is used to estimate capacity of basic freeways sectionregarding to the lack of available data in developing countries such as Iran. According to headway method theory, thedistribution function of headways needs to be estimated in order to find the capacity of a road facility. However, inprevious studies the mean of observed headway is used for capacity estimation.The data applied in this study have been collected from Iran. Modelling had accomplished in 2 steps: 1) Filtering theinput data that are related to following vehicles and just before queue. 2) Statistical modelling using the Minitab 16software. Evaluating models by three parameters (applicability, validity and reasonability), it was proven that the lognormaldistribution functions, is the best fit to observed data. According to results, the capacity of the basic freewaysection is 12% less than the values proposed by HCM, which are the current bases for traffic studies in developingcountries such as Iran.}, keywords = {Capacity,Headway,following vehicle,follower vehicle}, url = {http://www.ijte.ir/article_40537.html}, eprint = {http://www.ijte.ir/article_40537_83a93697fe3a4bbd090a3ab80c129e46.pdf} } @article { author = {Tavakoli Kashani, Ali and Besharati, Mohammad Mehdi}, title = {An Analysis of Vehicle Occupants’ Injury Severity in Crashes Occurred On Rural Freeways and Multilane Highways in Iran}, journal = {International Journal of Transportation Engineering}, volume = {4}, number = {2}, pages = {137-146}, year = {2016}, publisher = {Tarrahan Parseh Transportation Research Institute}, issn = {2322-259X}, eissn = {2538-3728}, doi = {10.22119/ijte.2016.40538}, abstract = {Vehicle occupants comprise a considerable proportion of traffic crash victims in Iran. This paper has focused on vehicleoccupants’ injury severity and employed the Classification and Regression Tree (CART) technique in order toidentify the most important variables affecting the injury severity of these road users in crashes occurred on rural freewaysand multilane highways in Iran over a three year period (2006-2008). In the procedure adopted in this paper, theproblem of three-class prediction was decomposed into four binary prediction models. Results revealed a high overallprediction accuracy of the models. Ten explanatory variables were considered in the current study in order to find themost important variables affecting the injury severity of occupants. In this regard, some “if-then” rules pertaining tothe conditions that lead to more severe injuries are provided based on the decision tree analysis. Results confirm thealready-known importance of seatbelt usage for preventing serious injuries in one hand, and imply the insufficiencyof seatbelt usage for protecting the occupants from receiving serious injuries in some collision types, on the otherhand. This underscores the need for more safety instruments (especially airbags for all occupants of the vehicle) to beinstalled in passenger cars in Iran.}, keywords = {Vehicle occupant,seat belt,injury severity,rural freeway and multilane highway}, url = {http://www.ijte.ir/article_40538.html}, eprint = {http://www.ijte.ir/article_40538_186c7db10d2c89d544969e51ffd8834f.pdf} }