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Transportation Research Part C-Emerging Technologies SJR Impact Factor

❶Submissions in the following areas of transportation are encouraged by Part C: Research article Abstract only A platoon based cooperative eco-driving model for mixed automated and human-driven vehicles at a signalised intersection.

Transportation Research Part C-Emerging Technologies Impact Factor

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Transportation Research Part C: Emerging Technologies

An evaluation of traveler responses combining revealed and stated preference data. Research article Abstract only A platoon based cooperative eco-driving model for mixed automated and human-driven vehicles at a signalised intersection. Review article Open access Survey of the operation and system study on wireless charging electric vehicle systems. Review article Abstract only Smartphones as an integrated platform for monitoring driver behaviour: The role of sensor fusion and connectivity.

Review article Abstract only Analysis of air traffic control operational impact on aircraft vertical profiles supported by machine learning. Christian Eduardo Verdonk Gallego, Finally, there is lack of systematic and universal criteria for model evaluation, which impedes effective efforts to improve existing models or develop new ones. A trajectory is a sequence of sampled or continuous locations, speeds and time stamps along the route of a moving object.

Nowadays, with the roll-out of location-aware technologies such as GPS, Wi-Fi, bluetooth, and Radio Frequency IDentification RFID , various community-driven platforms, and even connected vehicles, massive trajectory data have become available. Such trajectory data provides a critical means for understanding microscopic behavior and managing macroscopic transportation systems. Moreover, trajectories can be influenced by emerging vehicle-to-vehicle V2V and vehicle-to-infrastructure V2I communications in real time to enable a higher level of mobility and sustainability.

The availability of trajectory data and the emerging ability to control trajectories are expected to bring profound and disruptive changes to transport systems. It is thus, imperative to understand i how the trajectory data should be used to better understand, plan, design, and manage transport systems; ii how moving subject vehicles, pedestrians, bicyclists trajectories can be optimally controlled to meet the needs of individual travelers as well as system-wide operations.

Rooted upon City Science, Smart City models are characterized in six major aspects: As an important component of Smart Cities, transportation network plays a critical role to address the urbanization, competitiveness, sustainability, and mobility issues. Most metropolitan areas are facing significant transportation-related challenges, including excess recurrent and non-recurrent congestion, increased accident risk, severe traffic-related air pollution, critical infrastructure protection, and unsustainable energy consumption, due to increasing population and travel demands, as well as sometimes century-old transportation infrastructure.

Developing better operation and management strategies is of practical importance to improve city-scale transportation system operations under the above Smart City research initiatives.

This free service is available to anyone who has published and whose publication is in Scopus. Researcher Academy Author Services Try out personalized alert features. State-of-the-art and future research directions Christos Katrakazas Mohammed Quddus Factors influencing the choice of shared bicycles and shared electric bikes in Beijing Andrew A. The travel and environmental implications of shared autonomous vehicles, using agent-based model scenarios Daniel J. Decarbonizing passenger cars using different powertrain technologies: Long short-term memory neural network for traffic speed prediction using remote microwave sensor data Xiaolei Ma Zhimin Tao Origin-destination trips by purpose and time of day inferred from mobile phone data Lauren Alexander Shan Jiang A real-time adaptive signal control in a connected vehicle environment Yiheng Feng K.

View All Most Cited Articles. Emerging Technologies in the last 90 days. Most Cited Articles The most cited articles published since , extracted from Scopus. Information about publishing in TRC. Special issues published in Transportation Research Part C: The Plum Print next to each article shows the relative activity in each of these categories of metrics: Captures, Mentions, Social Media and Citations.

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The focus of Transportation Research: Part C is high-quality, scholarly research that addresses development, applications, and implications, in the field of transportation, of emerging technologies from such fields as operations research, computer science, .

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Transportation Research Part C Emerging Technologies | Citations: 3, | The focus of Transportation Research: Part C is high-quality, scholarly research that . Transportation Research Part C: Emerging Technologies Abbreviation: Transp Res Part C Emerg Technol ISSN: X (Print) (Electronic) X (Linking).

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The focus of Transportation Research: Part C is high-quality, scholarly research that addresses development, applications, and implications, in the field of transportation, of emerging technologies from such fields as operations research, computer science, electronics, control systems, artificial intelligence, and telecommunications, among others. Transportation Research Part C: Emerging Technologies; Call for Papers; Submit Your Paper. Impact Factor: ℹ Impact strategies is of practical importance to improve city-scale transportation system operations under the above Smart City research initiatives. Enabled by emerging control, management, and sensing technologies and.