Call for Papers for Special Issue on New Frontiers in Sensing Fusion and Sensors for Intelligent Transport System in SAE International Sustainable Transportation, Environment, Energy, & Policy

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Starts: 09-07-2022

Description:

Special Issue on New Frontiers in Sensing Fusion and Sensors for Intelligent Transport System

When the concept of “smart cities” is becoming true, it becomes challenging to manage the transport system wisely. Since mobility is an inevitable part of a developing society, “Intelligent transport systems (ITS)” can efficiently drive traffic with a minimal error rate. Thus, ITS forecast users with traffic information and are provided rerouting plants and given smart suggestions regarding the availability of public transport. Thus, ITS dramatically reduces the time of travel and enhances the safety and comfort of commuters. However, the wide adaptation of ITS is highly limited due to its drawbacks. ITS depend on a GPS for navigation, with a peak resolution of 100 meters, it is inadequate for error-free operation (positioning and navigation). Since the speed and density of the vehicles are dynamic and often determine the nature of traffic, real-time monitoring of vehicles becomes crucial, which requires fusion technologies for multiple vehicle sensors. In a dense scenario where the inter-vehicle distance is minor, positioning and navigation become very difficult and lead to erroneous decisions. The drastic change in the climatic conditions decrease the accuracy of ITS and it needs to be improved substantially. The decentralization scenario opens a wide variety of security threats. Moreover, the currently available vehicle sensors are challenging to integrate, reducing data reliability. In addition, a fusion of vehicle sensors with GPS systems proves to be very inefficient, which requires new sensor fusion technologies. Thus, successful ITS relies on precision in position of vehicles, intelligent decision making, and safety in operation, which highly depends upon sensors and sensor fusion technologies.

Innovations in AI offers handy solutions in the improvement of ITS. Integration of multi-agent reinforcement learning (MARL) algorithm efficiently integrates the data acquired from more than three different sensors in vehicles and increases the preciseness of navigation in the urban landscape by improving detection of obstacles and helps in predicting time-efficient reroute planning. Incorporating an internal navigation system (INS) with GNSS reduces the decision-making time to milliseconds which is highly beneficial in managing traffic. Moreover, deployment of Continuous Operating Reference Station (CORS), a regional teal time kinematic system to the PPP, increases the resolution of the positioning system up to centimetre levels by integrating various vehicle derived sensor data. Fault forecasting methods like FMEA and FTA assess ITS integrity regularly and identify potential loopholes that increase the security of the navigation data. A combination of differential evolution (DE) and particle swarm optimization (PSO) algorithms edify the context awareness in vehicles about the environment and improves the overall performance of ITS in an experimental approach. Vehicles fitted with diffusible gas sensors and real-time data processing systems successfully survey the emission rate and modulate the version of the engine, thus helping to maintain the sustainability of the environment. Incorporating Fussy Dempster-Shafer theory (Fuzzy DSET) in AI algorithms allows an infusion of data acquired from optical sensors with other sensors in the vehicle to enhance obstacle detection capacity to several folds. ITS enables high precision in positioning with increased integrity in navigation vehicles. Further developments in ITS would certainly transform future transportation systems and confers countless benefits. 

Therefore, this special issue creates an ideal platform for the Engineers, researchers, entrepreneurs and programmers to present their unpublished works, reviews and perspectives on advances in sensors and sensor fusing technologies with autonomous functionality and their implications in intelligent transport systems.

Potential topics include, but are not limited to:

  • Innovations in cooperative driving and management of traffic in urban landscapes
  • Trends in connected services for vehicle telematics
  • Impact of mobility and internet of vehicles in smart navigation 
  • Establishing communication protocols for inter-vehicle communications
  • Research in the development of AI algorithms for vehicle and mobility analytics
  • Integration of traffic management systems for security and safety
  • Innovation in congestion management and avoidance
  • Research in Vision and Image Processing for urban mobility
  • Advances in Automotive Control and Mechatronics for Accident Prevention
  • Trends in wireless sensors networks for real-time incident detection
  • Advances in parking management systems and autonomous valet parking
  • Strategies and policies for transporting people with disabilities
  • Research in automated road transport for city mobility and eco-driving.

**Should be an industry or public sector professional, or academic with an interest in one or more of fields listed on the site.

For more information, please contact the Guest Editors:

Dr. Muhammad Attique Khan [Lead Guest Editor]
HITEC University, Pakistan
Email: attique.khan@ieee.org

Dr. Gaurav Dhiman [Co-Guest Editor]
Chandigarh University, India
Email: gaurav.dhiman@thapar.edu

Dr. Sathishkumar V E [Co-Guest Editor]
Hanyang University, Republic of Korea
Email: sathishkumar@hanyang.ac.kr


Deadline to submit manuscripts for consideration: December 30, 2022

Please submit your article at https://www.editorialmanager.com/saej-steep and include a submission note in Editorial Manager to indicate that it is for this special issue.

If interested Sign Up Today!

Volunteers Needed:

25 (25 open slots)

Experience Required:

No Experience Necessary

Contact:

Rachel Wetzel