Advanced Transportation Technologies and Symmetries in Intelligent Transportation Systems

A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Engineering and Materials".

Deadline for manuscript submissions: closed (30 April 2022) | Viewed by 17202

Special Issue Editors

Institute of Systems Engineering, Macau University of Science and Technology, Avenida Wai Long, Taipa, Macao
Interests: petri net theory and application; supervisory control of discrete event systems; workflow analysis; system reconfiguration; game theory; production scheduling and planning; data and process mining
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Guest Editor
Department of Traffic and Transportation, Jilin University, Changchun 130000, China
Interests: railway engineering; civil engineering; transportation engineering

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Guest Editor
School of Vehicle and Energy, Yanshan University, Qinhuangdao 066004, China
Interests: intelligent vehicle perception, decision and control; human–vehicle–road collaboration and vehicle networking technology
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Guest Editor
School of Mechanical Engineering, Shenyang University of Technology, Shenyang, China
Interests: sustainable manufacturing

Special Issue Information

Dear Colleagues,

Intelligent transportation systems (ITSs) are a comprehensive application of mathematics, computer technology, sensor technology, automatic control theory, artificial intelligence, and other technologies in transportation. ITSs can strengthen the connection between vehicles, roads, and drivers, thereby forming a comprehensive transportation system that guarantees safety, improves efficiency, improves the environment, and conserves energy. As new algorithms and applications in ITSs continue to emerge and mature, ITSs have gradually received widespread attention from academia and industry. Some studies have shown that methods such as artificial intelligence, Internet of Things (IoT), symmetry theory, automatic control, digital twins, etc. can theoretically enhance the capabilities of ITSs. A deep understanding of the actual utility and scope of application of these theories is the prerequisite for the improvement of ITS efficiency.

The solutions brought by advanced theories are creating breakthrough applications after being applied to the transportation industry. ITSs are exploring and improving in all aspects, from macro- to microscale. However, many challenges remain due to the complexity and real-time requirements of ITSs—for example, recognizing vehicles or perceiving the transportation environment with very little prior information; solving the symmetry breaking problem for coordinating assignment and routing decisions in transit vehicle schedules; and predicting the changes in traffic flow caused by autonomous driving or coordinated driving in mixed traffic in the future. Through modeling and verification of the solutions given by these advanced methods in ITSs, the role of ITSs in transportation can be exerted to a greater extent.

Objective

This Special Issue is dedicated to exploring the most recent advances in intelligent transportation systems and related technologies, as well as their effects on travelers’ behavior and system performances, including theoretical and applied research in (but not limited to) the following topics:

  • Air, road, rail and waterway transportation networks and systems;
  • Big data and AI applications in ITSs;
  • Connected technologies and autonomous driving;
  • Interconnected vehicles and transportation systems;
  • Application of symmetric property in ITSs;
  • Symmetries in geometric control theory;
  • Modeling multi-modal transport network utilizing ITSs;
  • Application of ITS technologies for analyzing and controlling traffic flows;
  • Traffic control and traffic load management;
  • Potential human factors relevant to microscopic models;
  • Modelling, control and simulation algorithms and techniques;
  • Smart mobility;
  • Data fusion;
  • Environment perception;
  • Computer vision.

Prof. Dr. Guangdong Tian
Dr. Zhiwu Li
Prof. Dr. Dexin Yu
Dr. Amir M. Fathollahi-Fard
Prof. Dr. Lisheng Jin
Prof. Dr. Xingyu Jiang
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 100 words) can be sent to the Editorial Office for announcement on this website.

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. Symmetry is an international peer-reviewed open access monthly 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 2400 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.

Published Papers (7 papers)

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Editorial

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2 pages, 178 KiB  
Editorial
Editorial Conclusion for the Special Issue “Advanced Transportation Technologies and Symmetries in Intelligent Transportation Systems”
by Guangdong Tian, Zhiwu Li, Dexin Yu, Amir M. Fathollahi-Fard, Lisheng Jin and Xingyu Jiang
Symmetry 2022, 14(7), 1439; https://doi.org/10.3390/sym14071439 - 13 Jul 2022
Cited by 1 | Viewed by 1145
Abstract
The recent advances in the intelligent transportation systems (ITS) are reviewed in this Special Issue in which many techniques in mathematics, artificial intelligence, machine learning, automatic control, and optimization theory were considered to address the ITS based on recent technologies, methods and symmetries [...] Read more.
The recent advances in the intelligent transportation systems (ITS) are reviewed in this Special Issue in which many techniques in mathematics, artificial intelligence, machine learning, automatic control, and optimization theory were considered to address the ITS based on recent technologies, methods and symmetries [...] Full article

Research

Jump to: Editorial

39 pages, 58139 KiB  
Article
Three-Dimensional Conflict Resolution Strategy Based on Network Cooperative Game
by Wenda Yang, Xiangxi Wen, Minggong Wu, Kexin Bi and Longfei Yue
Symmetry 2022, 14(8), 1517; https://doi.org/10.3390/sym14081517 - 25 Jul 2022
Cited by 1 | Viewed by 1356
Abstract
Aiming at the problems of difficult handling of three-dimensional flight conflicts and unfair distribution of resolution costs, we propose a multi-aircraft conflict resolution method based on the network cooperative game. Firstly, we establish a flight conflict network model with aircraft as nodes and [...] Read more.
Aiming at the problems of difficult handling of three-dimensional flight conflicts and unfair distribution of resolution costs, we propose a multi-aircraft conflict resolution method based on the network cooperative game. Firstly, we establish a flight conflict network model with aircraft as nodes and the conflict relationship between node pairs as edges. After that, we propose a comprehensive network index that can evaluate the effect of resolution strategy. Based on the concept of “nucleolus solution”, we establish a conflict network alliance with all nodes as participants, and balance the interests of all participants through the resolution cost function. In order to improve the timeliness of the method, we propose two optimization methods: adjusting high-priority nodes and customizing the initial resolution scheme. Finally, we combine the NSGA-II algorithm to solve the optimal conflict resolution scheme. The simulation results show that our method can adjust 10 aircraft in 15.17 s and resolve 12 flight conflicts in a complex conflict scenario containing 40 aircraft; our method reduces the resolution cost by more than 22.1% on average compared with the method without considering the resolution cost. The method ensures both the conflict resolution capability and the reduction in resolution cost. Full article
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33 pages, 21570 KiB  
Article
Sustainable and Robust Home Healthcare Logistics: A Response to the COVID-19 Pandemic
by Amir M. Fathollahi-Fard, Abbas Ahmadi and Behrooz Karimi
Symmetry 2022, 14(2), 193; https://doi.org/10.3390/sym14020193 - 19 Jan 2022
Cited by 52 | Viewed by 3476
Abstract
Today, research on healthcare logistics is an important challenge in developing and developed countries, especially when a pandemic such as COVID-19 occurs. The responses required during such a pandemic would benefit from an efficiently designed model for robust and sustainable healthcare logistics. In [...] Read more.
Today, research on healthcare logistics is an important challenge in developing and developed countries, especially when a pandemic such as COVID-19 occurs. The responses required during such a pandemic would benefit from an efficiently designed model for robust and sustainable healthcare logistics. In this study, we focus on home healthcare logistics and services for planning the routing and scheduling of caregivers to visit patients’ homes. Due to the need for social distancing during the COVID-19 pandemic, these services are highly applicable for reducing the growth of the epidemic. In addition to this challenge, home healthcare logistics and services must be redesigned to meet the standards of a triple bottom line approach based on sustainable development goals. A triple bottom line approach finds a balance between economic, environmental, and social criteria for making a sustainable decision. Although, recently, the concept of green home healthcare has been studied based on the total cost and green emissions of home healthcare logistics and services, as far as we know, no research has been conducted on the formulation of a triple bottom line approach for home healthcare logistics and services. To achieve social justice for caregivers, the goal of balancing working time is to find a balance between unemployment time and overtime. Another contribution of this research is to develop a scenario-based robust optimization approach to address the uncertainty of home healthcare logistics and services and to assist with making robust decisions for home healthcare planning. Since our multi-objective optimization model for sustainable and robust home healthcare logistics and services is more complex than other studies, the last novel contribution of this research is to establish an efficient heuristic algorithm based on the Lagrangian relaxation theory. An initial solution is found by defining three heuristic algorithms. Our heuristic algorithms use a symmetric pattern for allocating patients to pharmacies and planning the routing of caregivers. Then, a combination of the epsilon constraint method and the Lagrangian relaxation theory is proposed to generate high-quality Pareto-based solutions in a reasonable time period. Finally, an extensive analysis is done to show that our multi-objective optimization model and proposed heuristic algorithm are efficient and practical, as well as some sensitivities are studied to provide some managerial insights for achieving sustainable and robust home healthcare services in practice. Full article
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17 pages, 3127 KiB  
Article
Symmetry Control of Comfortable Vehicle Suspension Based on H
by Jiguang Hou, Xianteng Cao and Changshu Zhan
Symmetry 2022, 14(1), 171; https://doi.org/10.3390/sym14010171 - 16 Jan 2022
Cited by 4 | Viewed by 2221
Abstract
Suspension is an important part of intelligent and safe transportation; it is the balance point between the comfort and handling stability of a vehicle under intelligent traffic conditions. In this study, a control method of left-right symmetry of air suspension based on H [...] Read more.
Suspension is an important part of intelligent and safe transportation; it is the balance point between the comfort and handling stability of a vehicle under intelligent traffic conditions. In this study, a control method of left-right symmetry of air suspension based on H theory was proposed, which was verified under intelligent traffic conditions. First, the control stability caused by the active suspension control system running on uneven roads needs to be ensured. To address this issue, a 1/4 vehicle active suspension model was established, and the vertical acceleration of the vehicle body was applied as the main index of ride comfort. H performance constraint output indicators of the controller contained the tire dynamic load, suspension dynamic stroke, and actuator control force limit. Based on the Lyapunov stability theory, an output feedback control law with H-guaranteed performance was proposed to constrain multiple targets. This way, the control problem was transformed into a solution to the Riccati equation. The simulation results showed that when dealing with general road disturbances, the proposed control strategy can reduce the vehicle body acceleration by about 20% and meet the requirements of an ultimate suspension dynamic deflection of 0.08 m and a dynamic tire load of 1500 N. Using this symmetrical control method can significantly improve the ride comfort and driving stability of a vehicle under intelligent traffic conditions. Full article
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15 pages, 3177 KiB  
Article
Research on Optimization of Urban Public Transport Network Based on Complex Network Theory
by Zhongyi Lin, Yang Cao, Huasheng Liu, Jin Li and Shuzhi Zhao
Symmetry 2021, 13(12), 2436; https://doi.org/10.3390/sym13122436 - 16 Dec 2021
Cited by 7 | Viewed by 3604
Abstract
The urban public transportation system is an important part of urban transportation, and the rationality of public transportation routes layout plays a vital role in the transportation of the city. Improving the efficiency of public transportation can have a positive impact on the [...] Read more.
The urban public transportation system is an important part of urban transportation, and the rationality of public transportation routes layout plays a vital role in the transportation of the city. Improving the efficiency of public transportation can have a positive impact on the operation of the public transportation system. This paper uses complex network theory and the symmetry of the up and down bus routes and stations to establish an urban public transit network model and calculates the probability of passengers choosing different routes in the public transit network according to passenger travel impedance. Based on passenger travel impedance, travel path probability and passenger travel demand, the links are weighed, and the network efficiency calculation method is improved. Finally, the public transit network optimization model was established with network efficiency as the objective function and solved by the ant colony algorithm. In order to verify the effectiveness of the model and the solution method, this paper selects areas in Nanguan District of Changchun City for example analysis. The result shows that the efficiency of the optimized network is 8.5% higher than that of the original network, which proves the feasibility of the optimized model and solution method. Full article
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22 pages, 7152 KiB  
Article
Multi-Criteria Analysis of a People-Oriented Urban Pedestrian Road System Using an Integrated Fuzzy AHP and DEA Approach: A Case Study in Harbin, China
by Hongliang Li, Yu Lin, Yuming Wang, Jing Liu, Shan Liang, Shulin Guo and Tiangang Qiang
Symmetry 2021, 13(11), 2214; https://doi.org/10.3390/sym13112214 - 19 Nov 2021
Cited by 10 | Viewed by 2107
Abstract
Increasingly, cities worldwide are striving for green travel and slow traffic, and vigorously developing people-oriented urban pedestrian traffic with sustainability has become a fixture in recent discourse. This paper comprehensively considers the sidewalk’s facilities environment and the status of pedestrian traffic flow; divides [...] Read more.
Increasingly, cities worldwide are striving for green travel and slow traffic, and vigorously developing people-oriented urban pedestrian traffic with sustainability has become a fixture in recent discourse. This paper comprehensively considers the sidewalk’s facilities environment and the status of pedestrian traffic flow; divides the urban pedestrian road system (UPRS) into five subsystems around the underpass, overpass, crosswalk, sidewalk, and road crosswalk; and introduces the basic structure as well as the function of each system. Then, the indicators are classified into two types of crosswalk facilities and sidewalk facilities, and a comprehensive pedestrian road indicator system with the combination of subjective and objective is established. Consequently, the integration of the fuzzy AHP and DEA-based symmetrical technique for the subjective evaluation indicator combined with pedestrian traffic characteristics is developed. A nine-step semantics scale of relative importance was used so that the symmetry of the response of pedestrian satisfaction was maintained. Fuzzy evaluation based on AHP is further modeled, and the DEA is employed to achieve an overall evaluation of the quality of service (QoS) for UPRS. The applicability of the established evaluation system is finally verified through a real case study in Harbin, China. The serviceability assessment method in this paper provides a new idea for planners to conduct sustainability evaluation for UPRS in future urban renewal development. Full article
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20 pages, 6585 KiB  
Article
Parking and Ride Induction Methods for Drivers in Commuting Scenes
by Lili Zheng, Zifang Xie, Tongqiang Ding, Jianfeng Xi and Fanyun Meng
Symmetry 2021, 13(11), 2176; https://doi.org/10.3390/sym13112176 - 12 Nov 2021
Cited by 2 | Viewed by 1711
Abstract
Parking and ride is a very effective method to improve the traffic condition of commuter channels, and it is necessary to develop effective parking guidance strategies. In this study, considering the travel time, walking distance, parking cruise time, parking fee, and personal attributes [...] Read more.
Parking and ride is a very effective method to improve the traffic condition of commuter channels, and it is necessary to develop effective parking guidance strategies. In this study, considering the travel time, walking distance, parking cruise time, parking fee, and personal attributes of drivers, a probability model of parking and ride selection in commuter scenarios was proposed, and a dynamic price adjustment method based on the equilibrium of parking occupancy in the region was constructed. The parking price was adjusted by determining the target occupancy, thus affecting the parking choice behavior to guide the commuter to park. The example analysis showed that this method adjusted the selection probability of the parking lot by using the dynamic price adjustment method from the perspective of regional parking occupancy equilibrium, solved the model by symmetric duality algorithm and formulated a reasonable parking replacement induction scheme to achieve the goal of occupancy equilibrium. Compared with parking guidance under static pricing, it can avoid the crowding of commuter vehicles into the city center effectively to reduce the congestion of commuter channels. Full article
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