Design and Application of Intelligent Transportation Systems

A special issue of Designs (ISSN 2411-9660). This special issue belongs to the section "Vehicle Engineering Design".

Deadline for manuscript submissions: closed (30 July 2024) | Viewed by 13835

Special Issue Editors


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Guest Editor
New Jersey Institute of Technology, Newark, NJ 07102, USA
Interests: applied deep learning; blockchain technologies; intelligent transportation; mobile computing
School of Computing and Augmented Intelligence (SCAI), Arizona State University (ASU), Tempe, AZ 85281, USA
Interests: reinforcement learning; data mining; urban computing

E-Mail Website
Guest Editor
New Jersey Institute of Technology, Newark, NJ 07102, USA
Interests: transportation system modeling and analysis; traffic management and operations; intelligent transportation systems

Special Issue Information

Dear Colleagues,

Traffic is an important link connecting cities, and is an important channel for transporting people and logistics for urban development. As the main driving force for urban development, traffic has a decisive impact on the flow of production factors and the development of urban systems.

The design and application of traffic systems can promote the scientific development of traffic planning, maximize the use of traffic infrastructure, further strengthen the management and control of traffic systems, and further standardize traffic behavior. As long as the design of the transportation system can be carried out reasonably and the transportation system is applied in real life, the utilization of the transportation infrastructure and the transportation supply capacity can be effectively improved. At the same time, the rational application of the transportation system can also alleviate the problem of urban traffic congestion to a certain extent.

This Special Issue welcomes articles and presentations on the designs and applications of transportation systems, especially on addressing real-world challenges during the deployments of transportation systems.

The topics of interest include, but are not limited to, the following:

  • Intelligent control and planning in transportation systems;
  • Security, privacy, and safety issues in transportation systems;
  • Design methodology and analysis of transportation systems.

Dr. Guiling (Grace) Wang
Dr. Hua Wei
Dr. Branislav Dimitrijevic
Guest Editors

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Keywords

  • intelligent transportation control and planning
  • security, privacy, and safety
  • transportation system design and analysis

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Published Papers (2 papers)

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Research

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12 pages, 772 KiB  
Article
Performance Assessment in a “Lane Departure” Scenario of Impending Collision for an ADAS Logic Based on Injury Risk Minimisation
by Michelangelo-Santo Gulino, Dario Vangi and Krzysztof Damaziak
Designs 2023, 7(3), 59; https://doi.org/10.3390/designs7030059 - 25 Apr 2023
Cited by 1 | Viewed by 1385
Abstract
The current prioritisation of road safety enhancement in the automotive sector is leading toward the near future implementation of Advanced Driver Assistance Systems (ADASs), aiming at the simultaneous intervention of braking and steering for impact avoidance in case of an impending collision. However, [...] Read more.
The current prioritisation of road safety enhancement in the automotive sector is leading toward the near future implementation of Advanced Driver Assistance Systems (ADASs), aiming at the simultaneous intervention of braking and steering for impact avoidance in case of an impending collision. However, it is partially unclear how new technologies for controlling the steering will actually behave in the case of inevitable collision states; the need consequently emerges to propose and tune efficient ADAS strategies to handle the complexity of critical road scenarios. An adaptive intervention logic on braking and steering for highly automated vehicles is applied in the context of a “lane departure”, two-vehicle critical road scenario; the ADAS implementing the logic activates to minimise the injury risk for the ego vehicle’s occupants at each time step, adapting to the eventual scenario evolution consequent to actions by other road users. The performance of the adaptive logic is investigated by a software-in-the-loop approach, varying the mutual position of the involved vehicles at the beginning of the criticality and comparing the injury risk outcomes of the eventual impacts with those connected to the Autonomous Emergency Braking (AEB). The results highlight a twofold benefit from the adaptive logic application in terms of road safety: (1) it decreases the frequency of impacts compared to the AEB function; (2) in inevitable collision states, it decreases injury risk for the vehicles’ occupants down to 40% compared to the AEB. This latter condition is achieved thanks to the possibility of reaching highly eccentric impact conditions (low impact forces and occupants’ injury risk as a consequence). The obtained highlights expand the literature regarding the adaptive logic by considering a diverse critical road scenario and investigating how fine variations on the vehicles’ mutual position at the beginning of the criticality reflect on the injury outcomes for different types of intervention logic. Full article
(This article belongs to the Special Issue Design and Application of Intelligent Transportation Systems)
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Review

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30 pages, 22165 KiB  
Review
Safety in Traffic Management Systems: A Comprehensive Survey
by Wenlu Du, Ankan Dash, Jing Li, Hua Wei and Guiling Wang
Designs 2023, 7(4), 100; https://doi.org/10.3390/designs7040100 - 10 Aug 2023
Cited by 4 | Viewed by 11644
Abstract
Traffic management systems play a vital role in ensuring safe and efficient transportation on roads. However, the use of advanced technologies in traffic management systems has introduced new safety challenges. Therefore, it is important to ensure the safety of these systems to prevent [...] Read more.
Traffic management systems play a vital role in ensuring safe and efficient transportation on roads. However, the use of advanced technologies in traffic management systems has introduced new safety challenges. Therefore, it is important to ensure the safety of these systems to prevent accidents and minimize their impact on road users. In this survey, we provide a comprehensive review of the literature on safety in traffic management systems. Specifically, we discuss the different safety issues that arise in traffic management systems, the current state of research on safety in these systems, and the techniques and methods proposed to ensure the safety of these systems. We also identify the limitations of the existing research and suggest future research directions. Full article
(This article belongs to the Special Issue Design and Application of Intelligent Transportation Systems)
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