Topic Review
Autonomous Vehicles Affect Traffic Conditions in Mixed Traffic
Different methodologies are being used to study the effects of autonomous vehicles (AVs) in mixed traffic to exhibit the interactions between autonomous and human-driven vehicles (HVs). Microscopic simulation tools are popular in such an assessment, as they offer the possibility to experiment in economical, robust, and optimistic ways. A lack of reliable real-world data (also known as natural data) to calibrate and evaluate the connected autonomous vehicle (CAV) simulation model is a major challenge.
  • 283
  • 25 Mar 2024
Topic Review
Greenhouse Gas Emissions from Heavy-Duty Trucking
Seaports are perceived as multimodal hubs of the logistics supply chain where various transport modes intersect to exchange goods shipped by vessels. Increasing trade and capacity constraints are making this area a major contributor to greenhouse gas (GHG) emissions. National and regional decision-makers perceive port sustainability as a concern while planning GHG mitigation projects. However, to plan and conduct successful GHG management programs, it is critical to first develop an appropriate assessment approach that fits well with the operating and geographical context of the given port. For heavy-duty trucking activities taking place within such ports, several models and methodologies for assessing GHG emissions are available, but their generalization is challenging for many reasons, notably because of the specific features of traffic within the port.
  • 318
  • 22 Mar 2024
Topic Review
Energy-Efficient Driving
The transportation sector remains a major contributor to greenhouse gas emissions. The understanding of energy-efficient driving behaviors and utilization of energy-efficient driving strategies are essential to reduce vehicles’ fuel consumption. However, there is no comprehensive investigation into energy-efficient driving behaviors and strategies. Furthermore, many state-of-the-art AI models have been applied for the analysis of eco-friendly driving styles, but no overview is available.
  • 44
  • 19 Mar 2024
Topic Review
Maritime Transportation Safety Management
Maritime transportation plays a critical role in global trade, and studies on maritime transportation safety management are of great significance to the sustainable development of the maritime industry. Consequently, there has been an increasing trend recently in studies on maritime transportation safety management, especially in terms of safety risk analysis and emergency management.
  • 45
  • 04 Mar 2024
Topic Review
Impact of Autonomous Navigation in Short Sea Shipping
Short sea shipping (SSS) is a concept created in the European Union (EU), building upon the traditional concept of cabotage, but expanding it to an EU scale and adding maritime connections to countries across seas surrounding Europe. In spite of being a European concept, the fact is that it applies very well to other areas of the world, often under other designations such as coastal shipping or international cabotage.
  • 83
  • 27 Feb 2024
Topic Review
Autonomous Ride-Sharing Service using Graph Embedding
Autonomous vehicles are anticipated to revolutionize ride-sharing services and subsequently enhance the public transportation systems through a first–last-mile transit service. Within this context, a fleet of autonomous vehicles can be modeled as a Dial-a-Ride Problem with certain features.
  • 61
  • 26 Feb 2024
Topic Review
Evolution of Macro-Modeling Practices
International transport corridors (ITCs) are intricate logistical networks essential for global trade flows. The effective modeling of these corridors provides invaluable insights into optimizing the transport system. The relevance of macro-modeling in today’s international transport landscape is underscored by the growing complexity of global supply chains. With the rise of e-commerce and just-in-time delivery models, the demand for strategic planning and optimization of ITCs has soared. Countries and corporations alike recognize the need for a holistic understanding of transport networks to maintain competitiveness and ensure economic growth. Macro-modeling answers this call by enabling the simulation and analysis of large-scale transport systems, providing stakeholders with a complex view of the operational intricacies and potential improvements.
  • 59
  • 26 Feb 2024
Topic Review
Spatial Knowledge Acquisition in Large-Scale Environments
The research emphasizes the critical role of spatial cognition in understanding urban travel behaviors. It discusses how individuals' spatial experiences and cognitive maps shape their perception and interaction with their surroundings, influencing navigation, route planning, and travel decisions. The emergence of small electric vehicles (SEVs) is highlighted as a sustainable urban transport option, necessitating an understanding of spatial cognition for effective integration. Affordance and spatial learning stages are explored, elucidating how the physical environment and individual experiences contribute to spatial knowledge acquisition. The research explores the relationship between spatial experience and travel attitudes, emphasizing the influence of the cognitive built environment on travel motivations. It discusses the importance of spatial knowledge in trip planning and activity-travel patterns, especially in the context of SEVs and their constraints. Various techniques for investigating cognitive maps are reviewed, underscoring the significance of understanding spatial cognition for improving transportation modeling and enhancing urban mobility. Overall, the research provides a comprehensive overview of spatial cognition's impact on travel behaviors and its implications for urban transport planning.
  • 68
  • 21 Feb 2024
Topic Review
Methodology of Transport Corridor Modeling Using Petri Nets
Current models for evaluating sustainable transport corridors often lack a comprehensive framework capturing the multifaceted performance measures vital for holistic assessment especially at the early stages of operation, when detailed information on the performance indicators of these transport corridors is not available. This gap motivates a Petri net-based modeling approach that integrates key sustainability indicators into a flexible simulation tool.
  • 94
  • 07 Feb 2024
Topic Review
Human Factors and Road Traffic Safety
Human factors play a huge role in road traffic safety. Research has found that a huge proportion of traffic crashes occur due to some form of human error. Improving road user behavior has been the major strategy that has been emphasized for improving road traffic safety. Meanwhile, despite the training efforts, and testing for drivers, the global status of road traffic safety is alarming.
  • 320
  • 02 Feb 2024
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