Journal of Advanced Transportation

Sensors in Intelligent Transportation Systems


Publishing date
01 Dec 2018
Status
Published
Submission deadline
10 Aug 2018

1West Pomeranian University of Technology, Szczecin, Poland

2Kaunas University of Technology, Kaunas, Lithuania

3University of Pretoria, Pretoria, South Africa


Sensors in Intelligent Transportation Systems

Description

Modern intelligent transportation systems (ITS) are strictly related to the use of various types of sensors to allow gathering information about the parameters of vehicles and their motion. Rapid development of video technology and availability of relatively cheap high resolution cameras cause the increased interest in the use of vision sensors mounted inside vehicles as well as over the roads. Another relevant field of research is related to applications of various passive road sensors mounted in the road as well as traffic sensors such as piezoelectric or magnetic MEMS sensors. One of the most relevant recent challenges and trends in the ITS solutions is related to the fusion of data acquired by various types of sensors, including inertial sensors, GPS solutions, and model based estimators, which can be used as the data sources for connected vehicle technologies.

The purpose of this special issue is to bring together the ideas and recent achievements of various research groups specializing in various aspects of the ITS solutions. Articles presenting the newly developed methods and ideas combining the data obtained from various sensors, including cameras, are especially welcome.

Potential topics include but are not limited to the following:

  • Autonomous vehicle technologies
  • Sensors in intelligent vehicles and self-driving cars
  • Wireless sensor networks and communication in ITS and connected vehicles
  • Vision sensors and image analysis for ITS solutions
  • Video tracking of vehicles
  • Traffic sensors (piezoelectric, fiber optic, magnetic, etc.)
  • Passive sensors for road condition monitoring
  • Weight-in-motion technologies
  • Detection, classification, and recognition of vehicles in motion
  • Data fusion methods for various types of sensors

Articles

  • Special Issue
  • - Volume 2019
  • - Article ID 7108126
  • - Editorial

Sensors in Intelligent Transportation Systems

Krzysztof Okarma | Darius Andriukaitis | Reza Malekian
  • Special Issue
  • - Volume 2019
  • - Article ID 3680181
  • - Research Article

A Particle Filter Localization Method Using 2D Laser Sensor Measurements and Road Features for Autonomous Vehicle

KyungJae Ahn | Yeonsik Kang
  • Special Issue
  • - Volume 2018
  • - Article ID 7836169
  • - Research Article

Novel Registration and Fusion Algorithm for Multimodal Railway Images with Different Field of Views

Baoqing Guo | Xingfang Zhou | ... | Zujun Yu
  • Special Issue
  • - Volume 2018
  • - Article ID 8703576
  • - Research Article

Predicting Pedestrian Counts for Crossing Scenario Based on Fused Infrared-Visual Videos

Shize Huang | Wei Chen | ... | Decun Dong
  • Special Issue
  • - Volume 2018
  • - Article ID 5179694
  • - Research Article

A Geostatistical Investigation into the Effective Spatiotemporal Coverage of Road Weather Information Systems in Alberta, Canada

Xu Wang | Lian Gu | ... | Tony Z. Qiu
  • Special Issue
  • - Volume 2018
  • - Article ID 4815383
  • - Research Article

Neuromorphic Vision Based Multivehicle Detection and Tracking for Intelligent Transportation System

Guang Chen | Hu Cao | ... | Alois Knoll
  • Special Issue
  • - Volume 2018
  • - Article ID 6517137
  • - Research Article

Double Magnetic Loop and Methods for Calculating Its Inductance

Ferran Mocholí Belenguer | Antonio Mocholí Salcedo | ... | José Humberto Arroyo Núñez
  • Special Issue
  • - Volume 2018
  • - Article ID 7191549
  • - Research Article

An Improved Robust Principal Component Analysis Model for Anomalies Detection of Subway Passenger Flow

Xuehui Wang | Yong Zhang | ... | Baocai Yin
  • Special Issue
  • - Volume 2018
  • - Article ID 2713729
  • - Research Article

A Low-Cost Consistent Vehicle Localization Based on Interval Constraint Propagation

Zhan Wang | Alain Lambert
Journal of Advanced Transportation
 Journal metrics
Acceptance rate36%
Submission to final decision106 days
Acceptance to publication75 days
CiteScore3.000
Impact Factor1.670
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