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Although the transportation sector is a crucial component of economic growth, it also substantially contributes to environmental degradation. Thus, in alignment with the United Nations Sustainable Development Goals (SDGs), the decarbonization of the transportation sector is pivotal for achieving SDG 11. Therefore, this study explores the underlying role of biofuel consumption (BC), green technology

Tackling India’s contribution to global carbon emissions is a priority from both national and international perspectives. Energy efficiency gains in Indian’s transportation sector have been suggested as a promising way to mitigate carbon emissions. The Indian government is considering fuel efficiency labels for new passenger cars. Via a discrete choice experiment, this paper investigates how regulatory

Recent years have witnessed an increasing number of artificial intelligence (AI) applications in transportation. As a new and emerging technology, AI’s potential to advance transportation goals and the full extent of its impacts on the transportation sector is not yet well understood. As the transportation community explores these topics, it is critical to understand how transportation professionals

In practice, interest subsidy and direct subsidy are implemented by many governments to alleviate the financial burdens on farmers who seek loans from banks. However, the issues regarding whether these subsidies should be adopted and which subsidy policy is more effective under bank financing remain underexplored. To address the gap, this paper investigates the impact of distinct subsidy policies on

In this paper, we study the transaction mechanism design problem for a market where shippers and carriers dynamically arrive at and depart from an online freight platform to trade their transport services over a transport network. The agents are self-interested and their valuations, costs, and arrival and departure times are private information. We propose online double auction mechanisms to dynamically

In complex and high-mobility vehicular communication networks, rapidly changing channel conditions, signal interference, and stringent latency requirements of safety services pose significant challenges to existing wireless resource allocation schemes. We propose a novel resource allocation method named AMADRL. It is based on the multi-agent deep reinforcement learning (MADRL) algorithm and incorporates

Optimizing traffic signal control is crucial for improving efficiency in congested urban environments. Current adaptive signal control systems predominantly rely on on-road detectors, which entail significant capital and maintenance costs, thereby hindering widespread implementation. In this paper, a novel connected vehicle (CV)-based adaptive signal control (CVASC) framework is proposed that optimizes

Recent data-driven discrete choice models in travel demand forecasting have achieved improved predictability. However, such prediction improvements come at the cost of black-box models and lost transparency in travel demand forecasting, which makes scenario testing and transportation planning difficult (if not impossible). Furthermore, these predictability gains have often been modest compared to handcrafted

This study relies on the unique revealed choice dataset to investigate the impact of crowding information provision on the route choices of smartphone navigation application users. Extensive processing steps are documented, and data validation is performed to ensure that the dataset is representative of the travel behavior in the Metro Vancouver region, as well as of the crowding conditions on its

As autonomous vehicles (AVs) advance and gradually integrate into urban roadways, managing traffic in mixed environments, where human-driven vehicles (HVs) coexist with AVs, has become a critical challenge. Previous research has developed several optimal network design models for autonomous driving lanes (ADLs) to partially?address this issue. However, these studies largely overlook uncertainties in

This paper presents a stochastic version of the dial-a-ride problem with interrelated trips. Interrelated trips refer to transportation requests where travelers need to arrive at meeting locations simultaneously or where round trips involve a specific amount of time spent at destination locations, such as for medical consultations. In this variant of the problem, the durations of the travelers’ stays

In recent years, the occurrence of various natural disasters and emergencies has led to a significant increase in cases of long-term supply chain disruption, resulting in substantial impacts. Consequently, the supply chain is now confronted with greater uncertainties and risks. In this context, both scholars and enterprises are increasingly emphasizing the importance of managing supply chain resilience

In one-way carsharing systems, striking a balance between vehicle supply and user demand across stations poses considerable operational challenges. While existing research on vehicle relocation, personnel dispatch, and trip pricing have shown effectiveness, they often struggle with the complexities of fluctuating and unpredictable demand and supply patterns in uncertain environments. This paper introduces

Rising EV exports and regional instability have increased shipping costs. Many electric vehicle manufacturers (EVMs) purchase and operate newly built pure car and truck carriers (PCTC), which are greener and more energy-efficient than traditional car carriers, to lower shipping costs and improve global supply-chain resilience. Meanwhile, EVMs strategically adjust EV prices and production quantities

Non-extreme flood disasters caused by urban fluvial flooding can disrupt and impact the operation of urban road traffic systems. This is particularly evident in the influence on the path selection behavior of network users and the resulting changes in the equilibrium state of the road network. Consequently, the network cannot maintain its original performance, leading to disturbances and interruptions

As a key contribution, this article presents the first successful application of the newly developed Vivaldi Non-uniform Profile Antenna (VNSPA) theory to a Vivaldi Tapered Slot Antenna (VTSA) operating in the 26 GHz band (24.25–27.5 GHz). The proposed design achieves both compactness and simplicity while maintaining high performance. This antenna is a promising candidate for vehicular communication

This study investigates a real-time vehicle relocation and charging strategy (RT-VR&CS) problem for the one-way electric carsharing services considering demand dynamics and practical nonlinear charging profile. The RT-VR&CS problem aims to develop a fast and robust algorithm to determine the real-time relocation and charging strategies for electric vehicles (EVs) with the goal of maximizing the profit

In response to increasingly stringent green regulations, ocean carriers are transitioning their emissions reduction strategy from reducing ship speeds to investing in green equipment. However, because carriers face uncertain demand and a competitive freight market, it is challenging for them to determine the timing and size of green equipment investments. Hence, we construct a real options game (ROG)

People repeatedly demand travel, using available vehicles scattered around space. What can justify vehicle withholding (i.e. preventing others from using it, for own future use) from the social welfare perspective? This paper investigates heterogeneity in the potential cost of search for alternative vehicles as such justification. It is shown that travellers whose search cost is substantially higher

This paper investigates the suitability of hub-based structures for coping with so-called regional transportation networks, i.e., transportation structures able to connect any two nodes in the network respecting a tight service level requirement. While hub-and-spoke structures have been extensively studied in the literature, they were typically approached as strategic problems with minimal focus on

The surge in wireless network attacks has intensified the focus on physical layer security (PLS) within academia and industry. As PLS provides security solutions by leveraging the randomness of wireless channels without the need for encryption/decryption keys, fading channels play a major role in PLS solutions. This survey aims to understand the effect of fading on PLS for 5G/6G communications by utilizing

Balancing supply and demand in free-floating one-way carsharing systems is a critical operational challenge. This paper presents a novel approach that integrates a binary logit model into a mixed integer linear programming framework to optimize short-term pricing and fleet relocation. Demand modeling, based on a binary logit model, aggregates different trips under a unified utility model and improves

The Fourth Party Logistics Service platform aims to provide customers with one-stop logistics services by combining logistics services from different logistics service providers. However, it is an important challenge to quickly build the logistics service combination with the maximum overall profit under the premise of satisfying spatial–temporal constraints. The traditional heuristic algorithm has

Platforms empower farmers to address the quality and safety issues of agricultural products by offering blockchain technology and improving product quality. Recently, live streaming becomes a new sales channel to sell products, and plays a key role in enhancing the visibility of agricultural products and introducing detailed information of agricultural products in real time. This disrupted the long-term

Vehicular digital twin network is partitioned into multiple networks either due to the geographical differences or their accelerating expansion, which necessitates a secure and incessant transition of cross-regional vehicles. Therefore, in this dynamic topology, the handover process for cross-regional vehicles becomes imperative. The literature encompasses an abundance of blockchain-based handover

Returns tend to cut profit and leave consumers unhappy, making returns management a critical issue in supply chain operations. This paper investigates the role of consumer disappointment aversion, stemming from product value uncertainty, in shaping critical operational decisions in a return-focused supply chain, including the pricing policy, the manufacturer’s returns collection strategy (direct returns

Currently, resource allocation in Unmanned Aerial Vehicles (UAVs) is a major topic of discussion among industrialists and researchers. Considering the different emerging applications of UAVs, if the resource allocation problem is not addressed effectively, the upcoming UAV applications will not serve their proposed purpose. Although there are numerous and diverse research works addressing the resource

The residual queue during a given study period (e.g., peak hour) is an important feature that should be considered when solving a traffic assignment problem under equilibrium for strategic traffic planning. Although studies have focused extensively on static or quasi-dynamic traffic assignment models considering the residual queue, they have failed to capture the situation wherein the equilibrium link