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24th IEEE International Conference on Intelligent Transportation - ITSC2021

24th IEEE International Conference on Intelligent Transportation - ITSC2021

Indiana , United States

Submission Deadline: Sunday 11 Jul 2021

Conference Dates: Sep 19, 2021 - Sep 22, 2021

Research
Impact Score 1.20

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Ranking & Metrics Impact Score is a novel metric devised to rank conferences based on the number of contributing the best scientists in addition to the h-index estimated from the scientific papers published by the best scientists. See more details on our methodology page.

Research Impact Score: 1.20
Contributing Best Scientists: 7
H5-index:
Papers published by Best Scientists 10
Research Ranking (Computer Science) 127
Research Ranking (Electronics and Electrical Engineering) 62
Research Ranking (Mechanical and Aerospace Engineering) 23

Conference Call for Papers

The 24th IEEE International Conference on Intelligent Transportation Systems (ITSC 2021) is the annual flagship conference sponsored by the IEEE Intelligent Transportation Systems Society. IEEE ITSC 2021 welcomes articles and presentations in the field of Intelligent Transportation Systems, conveying new developments in theory, analytical and numerical simulation and modeling, experimentation, advanced deployment and case studies. ITSC 2021 particularly invites and encourages prospective authors to share their work, findings, perspectives and developments as related to implementation and deployment of advanced ITS applications.

Topics of Interest
The topics of interest include and but are not limited to the following:

Advanced public transportation management
Advanced transportation safety systems
AI and deep learning in ITS
Air, road, and rail traffic management
Artificial transportation systems
Behavioral modeling in ITS
Connected and automated vehicles
Cooperative driving technologies
Cyber-physical-social systems for ITS
Driver and traveler support systems
Education in ITS
Electrified transportation systems
Human factors and HMI
ITS field tests and implementation
Management of incidents and evacuation
Modeling, simulation, and detection of vulnerable road users and animals
Naturalistic driving datasets and data analytics
New trends in ITS
Parallel learning and parallel systems
Ports, waterways, and vessel traffic management
Public policy, and regulatory and societal issues in ITS
Security, privacy and safety systems
Sensors, detectors and actuators in ITS
Shared and smart mobility
Traffic theory for ITS
Transportation networks
Vehicle localization and autonomous navigation
Vision and environment perception
V2X communications in ITS

Overview

Top Research Topics at International Conference on Intelligent Transportation Systems?

  • Artificial intelligence (25.18%)
  • Computer vision (16.75%)
  • Simulation (14.30%)

The conference was organized to reinforce research efforts on Artificial intelligence, Computer vision, Simulation, Transport engineering and Real-time computing. Issues in Artificial intelligence were discussed, taking into consideration concepts from other disciplines like Machine learning and Pattern recognition. Some problems in Computer vision that were presented in it overlapped with concepts under Lidar and Robustness (computer science).

The studies in Simulation featured incorporate elements of Traffic simulation and Traffic flow. The study on Traffic flow presented in International Conference on Intelligent Transportation Systems intersects with subjects under the field of Traffic generation model. Intelligent transportation system, Public transport, Traffic congestion and Road traffic are some of the study areas of Transport engineering discussed.

The in-depth study on Real-time computing also explores topics in the intersecting field of Global Positioning System.

What are the most cited papers published at the conference?

  • Driving style recognition using a smartphone as a sensor platform (474 citations)
  • Microscopic Traffic Simulation using SUMO (445 citations)
  • A new performance measure and evaluation benchmark for road detection algorithms (392 citations)

Research areas of the most cited articles at International Conference on Intelligent Transportation Systems:

The conference papers mostly deal with topics like Artificial intelligence, Computer vision, Simulation, Intelligent transportation system and Real-time computing. The most cited articles feature Artificial intelligence research that overlaps with concepts in Machine learning. The most cited publications address concerns in Computer vision which are intertwined with other disciplines, such as Kalman filter and Robustness (computer science).

Papers citation over time

A key indicator for each conference is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

Research.com

The top authors publishing at International Conference on Intelligent Transportation Systems (based on the number of publications) are:

  • Fei-Yue Wang (8 papers) published 8 papers at the last edition,
  • Yanlei Gu (6 papers) published 6 papers at the last edition,
  • Matthias Althoff (5 papers) published 5 papers at the last edition,
  • Fenghua Zhu (5 papers) published 5 papers at the last edition,
  • Shunsuke Kamijo (5 papers) published 5 papers at the last edition.

The overall trend for top authors publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top authors.

Research.com

Only papers with recognized affiliations are considered

The top affiliations publishing at International Conference on Intelligent Transportation Systems (based on the number of publications) are:

  • Technische Universität München (14 papers) published 14 papers at the last edition,
  • University of California, Berkeley (12 papers) published 12 papers at the last edition,
  • Chinese Academy of Sciences (10 papers) published 10 papers at the last edition,
  • Karlsruhe Institute of Technology (10 papers) published 10 papers at the last edition,
  • University of Tokyo (9 papers) published 9 papers at the last edition.

The overall trend for top affiliations publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top affiliations.

Research.com

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions at the conference edition to all articles published within that conference. The best research institutions were selected based on the largest number of articles published during all editions of the conference.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

Research.com

During the most recent 2017 edition, 4.17% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 26.38% were posted by at least one author from the top 10 institutions publishing at the conference. Another 13.91% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 22.03% of all publications and 37.68% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of conferences they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same conference from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the conference in relation to all participants in a given year.

Research.com

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

Research.com

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing at a conference. The index includes the authors publishing at the last edition of a conference, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

  • Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
  • Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
  • Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
  • Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
  • Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

Research.com

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Research.com

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Previous Editions

24th IEEE International Conference on Intelligent Transportation - ITSC2021

Sep 19, 2021 - Sep 22, 2021

Indiana , United States, United States

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