Titlebook: Intelligent Transport Systems for Everyone’s Mobility; Tsunenori Mine,Akira Fukuda,Shigemi Ishida Book 2019 Springer Nature Singapore Pte

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public transportation systems, and intelligent transportation systems made possible by big data analysis. In addition, important current and future ITS-related problems are discussed, taking into account many c978-981-13-7436-4978-981-13-7434-0

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The Unconscious Learning Effect on Driver AttentionAfter a few days, the subjects drove the course with the alarm sounding at the intersections, and ended up looking around at their surroundings when hearing the alarm. We told only some of the subjects the details and timing of the alarm. After this drive, we asked them whether the sound seemed nois

否決

depreciate

Collision Warning Strategies Using V2X: An Analysis of How Motorcycles and Bicycles Undergo Collisios and features of various vehicle types using accident and traffic video data. We utilized accident statistics to identify critical collision patterns for each vehicle type. In addition, video data were collected to investigate the trajectories and driver behaviors with regard to each type of vehicl

有法律效應(yīng)

Validation for Improving Reliability in Driver Arousal Method by Physiological Magnetic Stimulation and considered the sustain effect of drowsy driving suppression by magnetic stimulation and the influence of the experiment task which were not verified before. In addition, by further increasing the number of subjects, we tried to improve the reliability of the drowsy driving prevention effect by

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COMA

Adaptive Traffic Signal Control Methods Based on Deep Reinforcement Learningerage system total delay (ASTD) over the five experiments is compared for the two proposed neural network models and a fixed timing plan by way of the Webster delay formulas. Based on these preliminary tests, the DNN-model (CNN-model) signal control agent performed a lowest value of ASTD for the uns

南極

Architecture and Development of Agent-Based Unified Simulation Environment for ITS Serviceshe decisions to the simulators; the Agent-based USE then obtains the data representing the current situation on the simulators and sends it to the services as feedback so as to enable the services to generate the next recommendation. Additionally, using the Agent-based USE, it is possible to constru