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JTTs is an international refereed journal dedicated to the latest advancements in transportation technologies. The goal of this journal is to provide a forum for scientists and academicians worldwide to promote, share, and discuss various new issues and perspectives in diverse areas of transportation technologies, and…
Jesús Murgoitio, Rafael Durbán, Joshué M. Pérez, Antonio García, Jose A. Moreno, Ray A. Lattarulo
The progressive automation of transport will imply a new paradigm in mobility, which will profoundly affect people, logistics of goods, as well as other sectors dependent on transport. It is precise within this automation where the development of new driving…
Ranjit Prasad Godavarthy, Eugene R. Russell, Babak Mirzazadeh
Studies conducted on crashes at rural intersections of state highways and local roads/streets with two-way stop control have proved that the problem was likely poor judgment by the stopped driver on the minor approach of the speed of an oncoming vehicle and/o…
Shengke Zeng, Harlan E. Amandus, Alfred A. Amendola, Richard S. Current, Bradley H. Newbraugh, Douglas M. Cantis, Darlene Weaver
Background: Taxicab drivers have high homicide rates compared to all worker occupations. To help taxi fleets select effective taxicab security cameras, this project tested eight sample taxicab security cameras for determining their photographic quality which…
Yuhui Peng, Andrew C. Nix, Hailin Li, Derek R. Johnson, Robert S. Heltzel
The heavy-duty vehicle fleet involved in delivering water and sand makes noticeable issues of exhaust emissions and fuel consumption in the process of shale gas development. To examine the possibility of converting these heavy-duty diesel engines to run on na…
Ibrahim Khliefat, Ibrahem Shatnawi
This paper develops an optimization model that determines the optimal location for Bluetooth nodes used in the determination of the origin-destination matrix within an urban network. To analyze the effectiveness of the model, the city of Akron, OH was utilize…
Seyyed Meisam Taheri, Kojiro Matsushita, Minoru Sasaki
Driving a vehicle is one of the most common daily yet hazardous tasks. One of the great interests in recent research is to characterize a driver’s behaviors through the use of a driving simulation. Virtual reality technology is now a promising alternative to…
Le Anh Son, Hirofumi Aoki, Tatsuya Suzuki
With the aim of improving parameter identification and, eventually, evaluating driver distraction with changes in gaze direction, we applied a genetic algorithm (GA) method to identify parameters for an existing vestibulo-ocular reflex (VOR) model. By changin…
Emmanuel Kidando, Ren Moses, Eren E. Ozguven, Thobias Sando
Accurate classification and prediction of future traffic conditions are essential for developing effective strategies for congestion mitigation on the highway systems. Speed distribution is one of the traffic stream parameters, which has been used to quantify…
Ying Liu, Xiaoyi Li, Jun Yang, 1 1
Facing increasing passenger and cargo transport demand and limited re-source in the 13th Five-Year period, how to make a breakthrough and substantial progress has become a key issue on planning and the Top-level Design. In this paper we judged and analyzed th…
Azad Abdulhafedh
Multinomial logistic regression (MNL) is an attractive statistical approach in modeling the vehicle crash severity as it does not require the assumption of normality, linearity, or homoscedasticity compared to other approaches, such as the discriminant analys…
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JTTs is an international refereed journal dedicated to the latest advancements in transportation technologies. The goal of this journal is to provide a forum for scientists and academicians worldwide to promote, share, and discuss various new issues and perspectives in diverse areas of transportation technologies, and… All articles are open access under a CC BY 4.0 licence, with authors retaining copyright.
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