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Sustainable Transportation and Logistics Optimization
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Sustainable Transportation and Logistics Optimization

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Transportation".

Deadline for manuscript submissions: 10 December 2024 | Viewed by 2479

Special Issue Editors

Dr. Jie Ma

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Guest Editor
School of Transpotation, Southeast University, Nanjing, China
Interests: ridesharing; shared mobility; mobility as a service; electric vehicles
Special Issues, Collections and Topics in MDPI journals
Dr. Jingxu Chen

E-Mail Website
Guest Editor
Jiangsu Key Laboratory of Urban ITS, Southeast University, Nanjing 211189, China
Interests: urban transport planning; sustainable transportation; green logistics
Special Issues, Collections and Topics in MDPI journals
Dr. Xinlian Yu

E-Mail Website
Guest Editor
School of Transportation, Southeast University, Nanjing, China
Interests: transportation network modeling; emerging technologies; planning and operations of transit systems
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The composition and efficiency of urban public transport systems are intricately linked to numerous sustainable development issues. A high utilization rate of urban public transport systems plays a pivotal role in mitigating travel pollution, alleviating traffic congestion, enhancing transportation network efficiency and land utilization, and ensuring a balanced distribution of benefits among stakeholders in the public transport service industry. Moreover, with the advancements in electric vehicle technology, electric buses have gained increasing prominence within public transportation systems worldwide. As the proportion of electric buses in public transportation continues to rise, the challenges surrounding dispatching and charging in the transportation system have become increasingly apparent. Consequently, it becomes imperative to optimize the existing bus-dispatching strategies in light of the unique characteristics of electric buses, thereby elevating the overall efficiency of the public transport system.

The primary objective of the "Sustainable Transportation and Logistics Optimization" Special Issue is to comprehensively explore the current state and future prospects of sustainable public transportation and logistics optimization from diverse perspectives. This includes investigating how the scheduling strategies of public transportation systems, including electric buses, the matching of ridesharing passengers, and vehicles, can confer competitive advantages to sustainable public transport. The articles featured in this Special Issue will encompass a wide range of methodologies, such as qualitative and quantitative analysis, mathematical modeling, and numerical experiments, among others. We welcome research contributions addressing the following topics:

  • Optimization methods for buses, ridesharing vehicles, and dispatching strategies;
  • Site selection for electric-bus charging facilities;
  • Energy management and optimization techniques for electric vehicles;
  • Environmental factors associated with electric vehicles;
  • Safety considerations for electric vehicle travel;
  • The application of big data in bus planning and scheduling;
  • The modeling and analysis of urban public transport and shared mobility networks;
  • The sustainable management of transportation and logistics;
  • Strategies for coordinating electric vehicles with other vehicles within the public transport system;
  • Behavioral analyses of electric-vehicle users;
  • Sustainable transportation and logistics network optimization methodologies.

We encourage researchers to delve into these areas, employing rigorous approaches such as qualitative and quantitative analyses, mathematical modeling, and numerical experiments to contribute to the advancement of sustainable public transportation and logistics optimization.

Dr. Jie Ma
Dr. Jingxu Chen
Dr. Xinlian Yu
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. Sustainability 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 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.

Keywords

  • shared mobility
  • public transportation
  • sustainable logistics
  • electrification transportation and logistics

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Further information on MDPI's Special Issue polices can be found here.

Published Papers (3 papers)

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Research

25 pages, 8432 KiB  
Article
Numerical Investigation of Jet-Propelled Multiple-Vehicle Hyperloop System Considering the Suspension Gap
by Seraj Alzhrani, Mohammed M. Abdulla, Khalid Juhany and Ibraheem AlQadi
Sustainability 2024, 16(21), 9465; https://doi.org/10.3390/su16219465 - 31 Oct 2024
Viewed by 536
Abstract
The Hyperloop system offers revolutionary transportation, aiming for near-sonic speeds in a low-pressure environment. The aerodynamic design challenges of multiple vehicles in a confined tube remain largely unexplored, particularly regarding vehicle spacing and suspension gaps. This study investigates a jet-propelled, multi-vehicle Hyperloop system [...] Read more.
The Hyperloop system offers revolutionary transportation, aiming for near-sonic speeds in a low-pressure environment. The aerodynamic design challenges of multiple vehicles in a confined tube remain largely unexplored, particularly regarding vehicle spacing and suspension gaps. This study investigates a jet-propelled, multi-vehicle Hyperloop system using Reynolds-Averaged Navier–Stokes (RANS) equations and the k−ω turbulence model. Analysis of suspension gaps and vehicle spacing on drag and thrust revealed that suspension gaps cause significant jet deflection, reducing effective thrust and increasing drag. It was found that vehicle suspension, with a 75 mm suspension gap, increased drag by 58% at Mach 0.7 compared to the unsuspended configuration. Meanwhile, smaller vehicle spacing (Xv=0.25Lv) reduced the drag by up to 50%, enhancing system efficiency. The results emphasize the need to address the effect of jet deflection and optimize vehicle spacing for maximum energy savings. These findings offer valuable insights for enhancing aerodynamic performance in multi-vehicle Hyperloop systems. Full article
(This article belongs to the Special Issue Sustainable Transportation and Logistics Optimization)
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23 pages, 1838 KiB  
Article
Analysis of Factors Affecting the Accuracy of MFD Construction in Multisource Complex Data Scenarios
by Rongrong Hong
Sustainability 2024, 16(18), 8018; https://doi.org/10.3390/su16188018 - 13 Sep 2024
Viewed by 678
Abstract
The macroscopic fundamental diagram (MFD), as a model depicting the correlation between traffic flow parameters at the network level, offers a new way to understand regional traffic state using derived traffic flow data from detectors directly. The accuracy of MFD construction is directly [...] Read more.
The macroscopic fundamental diagram (MFD), as a model depicting the correlation between traffic flow parameters at the network level, offers a new way to understand regional traffic state using derived traffic flow data from detectors directly. The accuracy of MFD construction is directly related to factors such as the type of detectors, their distribution, and their quantity within the road network. Understanding these influencing factors and mechanisms is crucial for enhancing the reliability of MFD-based applications such as congestion pricing and threshold control. Present investigations on factors that affect MFD construction’s accuracy have frequently been confined to sensitivity analysis of single-source data and individual influencing factors such as the penetration rate. However, the accuracy of MFD is influenced by a multitude of factors, including the spatial distribution equilibrium, penetration rate, and coverage rate of traffic flow detection equipment. Despite this, this paper utilized the Q-paramics simulation software V6.8.1 to acquire simulated data and employed the orthogonal experimental method from statistics to explore the impact mechanisms of factors on the accuracy of MFD construction. The results of the case study demonstrated that when the penetration rate reaches 20%, the error remains approximately around 10%; once the coverage rate surpasses 45%, the errors stabilize at around 10%. This study provides practical guidance for traffic management and planning decisions aimed at promoting sustainable development through the application of MFD in real-world road networks. Full article
(This article belongs to the Special Issue Sustainable Transportation and Logistics Optimization)
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16 pages, 2713 KiB  
Article
Joint Optimal Design of Electric Bus Service and Charging Facilities
by Yuan Liu, Yamin Ding, Pei Jiang, Xugang Jin, Xinlin Wu and Zhanji Zheng
Sustainability 2024, 16(14), 6155; https://doi.org/10.3390/su16146155 - 18 Jul 2024
Viewed by 824
Abstract
With the development of new energy technologies, fuel buses with internal combustion engines are gradually being replaced by electric buses. In order to save on system costs, an optimization model is proposed to jointly design the bus service and charging facilities. Considering the [...] Read more.
With the development of new energy technologies, fuel buses with internal combustion engines are gradually being replaced by electric buses. In order to save on system costs, an optimization model is proposed to jointly design the bus service and charging facilities. Considering the complexity of the original problem, the problem is decomposed into two subproblems, i.e., bus service design and charging facilities design. The bus service design is solved by a genetic algorithm with an embedded enumeration method. The non-linear charging facilities design problem is firstly converted to a linear problem and then solved by existing solving software. Sensitivity analysis of parameters such as passenger flow demand, charging power, and bus stopping time is also conducted to reveal their impact on the optimization of electric bus lines. The results indicate that, compared to the commonly used depot charging strategy, the proposed method reduces the operating cost per unit hour from RMB 16,378.30 to RMB 8677.99, a 47% reduction, and decreases the system cost from RMB 36,386.30 to RMB 29,637.99, an 18.5% reduction. This study addresses the charging and operation problem of electric bus lines. By considering charging vehicles while in operation, a joint optimization model for the operation of electric bus lines and the layout of charging facilities is established. An algorithm based on the combination of a genetic algorithm and enumeration method is designed, combined with a linear programming solver to solve the problem. Full article
(This article belongs to the Special Issue Sustainable Transportation and Logistics Optimization)
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