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Oscar Romero, Aika Silveira Miura, Lorena Parra and Jaime Lloret
Mobility in urban and interurban areas, mainly by cars, is a day-to-day activity of many people. However, some of its main drawbacks are traffic jams and accidents. Newly made vehicles have pre-installed driving evaluation systems, which can prevent acci...
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Johannes Ossig, Stephanie Cramer and Klaus Bengler
In the human-centered research on automated driving, it is common practice to describe the vehicle behavior by means of terms and definitions related to non-automated driving. However, some of these definitions are not suitable for this purpose. This pap...
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Jing Wang, ZhongCheng Wu, Fang Li and Jun Zhang
Distracted driving behavior has become a leading cause of vehicle crashes. This paper proposes a data augmentation method for distracted driving detection based on the driving operation area. First, the class activation mapping method is used to show the...
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Dimosthenis Pavlou, Ion Beratis, Stella Fragkiadaki, Dionysia Kontaxopoulou, ... Sokratis Papageorgiou
Pág. 4338 - 4354
The objective of this study is to examine and present the most critical parameters that can assess and predict the driving performance of individuals having some kind of cerebral disease. The cerebral diseases that have been studied are: Mild Cognitive I...
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Nengchao Lyu, Lian Xie, Chaozhong Wu, Qiang Fu and Chao Deng
Complex traffic situations and high driving workload are the leading contributing factors to traffic crashes. There is a strong correlation between driving performance and driving workload, such as visual workload from traffic signs on highway off-ramps....
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Jens Kotte, Johanna Josten, Adrian Zlocki, Lutz Eckstein
Pág. 1071 - 1079
Today one of the disadvantages of electric vehicles is still the lower driving range in comparison to conventional vehicles resulting in subjective fear of drivers not to reach their destination. One approach to extend the driving range is to change the ...
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Xinpeng Wang, Chaozhong Wu, Jie Xue and Zhijun Chen
To date, automatic driving technology has become a hotspot in academia. It is necessary to provide a personalization of automatic driving decision for each passenger. The purpose of this paper is to propose a self-learning method for personalized driving...
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Zhen Liu, Qifeng Yang, Anlue Wang and Xingyu Gu
In the process of driving in an underground interchange, drivers are faced with many challenges, such as being in a closed space, visual changes alternating between light and dark conditions, complex road conditions in the confluence section, and dense s...
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Claudia Yohana Arias-Portela, Jaime Mora-Vargas and Martha Caro
The conceptual framework for assessing the situational awareness (SA) of drivers consists of three hierarchical levels: perception of the elements of the environment, comprehension of the elements, and decision-making in the near future. A common challen...
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Shichen Fu, Zhenhua Yang, Yuan Ma, Zhenfeng Li, Le Xu and Huixing Zhou
Detecting the factors affecting drivers? safe driving and taking early warning measures can effectively reduce the probability of automobile safety accidents and improve vehicle driving safety. Considering the two factors of driver fatigue and distractio...
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Jie Zhang, Kanmin Shen, Bin Wang, Guangyuan Wen and Sa Li
At present, there is no commonly used method for predicting soil resistance to the driving (SRD) of monopiles, because all available methods are developed based on an installed offshore pile with a diameter of 2?3 m. In addition, due to the complexity of...
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Xiaoli Yan, Yingxue Zhou, Tao Li and Feifei Zhu
Intelligent construction (IC) integrates intelligent technologies with the construction industry to improve efficiency and sustainability. IC development involves many driving factors, but only the critical factors play essential roles. Thus, it is neces...
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Nadja Schömig, Katharina Wiedemann, André Wiggerich and Alexandra Neukum
Vehicles equipped with so-called partially automated driving functions are becoming more and more common nowadays. The special feature of this automation level is that the driver is relieved of the execution of the lateral and longitudinal driving task, ...
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Md Abdus Samad Kamal, Kotaro Hashikura, Tomohisa Hayakawa, Kou Yamada and Jun-ichi Imura
This paper presents Adaptive Cruise Control (ACC) with look-ahead anticipation, based on the model of ACC used in recent commercial vehicles, to take early decisions in driving a vehicle on the freeway. The existing ACC found in the high-end cars has lim...
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Khaled Shaaban and Mohammed Alsoub
Developing countries are continuously upgrading their transportation systems. The latest improvement in Qatar, a fast-developing country in the Middle East, was the installation of dynamic message signs (DMS) and lane control signs (LCS). These signs wer...
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Bohan Jiang, Xiaohui Li, Yujun Zeng and Daxue Liu
It is of utmost importance for advanced driver assistance systems to evaluate the risk of the current situation and make continuous decisions about what kind of evasive maneuver can be initiated. The purpose of this paper is to establish efficient indica...
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Mikael Johansson, Mattias Mullaart Söderholm, Fjollë Novakazi and Annie Rydström
Automated driving technologies are rapidly being developed. However, until vehicles are fully automated, the control of the dynamic driving task will be shifted between the driver and automated driving system. This paper aims to explore how transitions f...
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Tobias Hecht, Stefan Kratzert and Klaus Bengler
Automated driving research as a key topic in the automotive industry is currently undergoing change. Research is shifting from unexpected and time-critical take-over situations to human machine interface (HMI) design for predictable transitions. Furtherm...
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Yannick Forster, Sebastian Hergeth, Frederik Naujoks, Josef Krems and Andreas Keinath
Automated driving systems (ADS) and a combination of these with advanced driver assistance systems (ADAS) will soon be available to a large consumer population. Apart from testing automated driving features and human?machine interfaces (HMI), the develop...
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José Balsa-Barreiro, Pedro M. Valero-Mora, José L. Berné-Valero and Fco-Alberto Varela-García
Naturalistic driving can generate huge datasets with great potential for research. However, to analyze the collected data in naturalistic driving trials is quite complex and difficult, especially if we consider that these studies are commonly conducted b...
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