You are currently viewing a new version of our website. To view the old version click .

Sensing and Managing Traffic Flow

This special issue belongs to the section “Intelligent Sensors“.

Special Issue Information

Dear Colleagues,

Traditional traffic flow of human-driven vehicles (HVs) exhibits fascinating phenomena such as traffic breakdown and traffic instability. With the development of automated vehicle (AV) technologies, traditional traffic flow would transit into the mixed traffic flow consisting of HVs and AVs, and finally into the traffic flow of full AVs. To understand and manage all kinds of traffic flow, whether traditional traffic flow, mixed traffic flow, or full AV traffic flow, sensors are indispensable, which range from loop detectors and cameras to GPS, Lidar, V2V and V2I communication devices. Based on the sensor data, it is a challenge task for the traffic community to develop effective operational and control strategies (e.g., ramp metering, signal optimization, trajectory planning, cooperative driving, route guiding) to improve safety, efficiency and driving comfort in the traffic flow.

The scope of this Special Issue is to collect state-of-the-art research papers related to sensor technologies applied in traffic flow management. The topics of interest include, but are not limited to, the following:

  1. Sensor data acquisition and data fusion;
  2. Traffic flow data analysis;
  3. Traffic flow experiment;
  4. Traffic flow modeling and simulation;
  5. Operational and control strategies;
  6. Interactions with pedestrians and bicycles.

Prof. Dr. Rui Jiang
Dr. Junfang Tian
Prof. Dr. Shaowei Yu
Dr. Xiaopeng Li
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • traffic flow
  • automated vehicles
  • traffic breakdown
  • traffic instability
  • ramp metering
  • signal optimization
  • trajectory planning
  • cooperative driving
  • route guiding

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Published Papers

Get Alerted

Add your email address to receive forthcoming issues of this journal.

XFacebookLinkedIn
Sensors - ISSN 1424-8220