Search Results (6)

Intelligent transportation systems (ITSs) are at the forefront of advancements in transportation, offering enhanced efficiency, safety, and environmental friendliness. To enable ITSs, autonomous systems play a pivotal role, contributing to the development of autonomous driving, data-driven modeling, and multiagent control strategies to establish sustainable and coordinated traffic management. The integration of networked and automated vehicles has garnered significant attention as a potential solution for alleviating traffic congestion and improving fuel economy, achieved through global route optimization and cooperative driving. This study focuses on a predictive control perspective to address the cooperative cruise control problem. Online decision making is employed during the driving process, utilizing information gathered from the network. By employing bargaining games to establish an operating agreement among vehicles, we formalize a synchronization approach based on predictive control theory. Ultimately, these findings are put to the test in an emulation environment within a hardware-in-the-loop system. The results revealed that the proposed cruise control successfully achieved convergence toward the desired reference signal. These results demonstrate the effectiveness of our approach in achieving synchronized platoon behavior and correct bargaining outcomes. These findings underscore the effectiveness and potential of DMPC with bargaining games in coordinating and optimizing vehicular networks. This paves the way for future research and development in this promising area. Full article

Global natural gas trade volume amounted to 1300 billion cubic meters (bcm) in 2021 and it is expected to increase regarding the growing concern for low-carbon emission fuel. However, natural gas requires special infrastructure in the transportation stage such as natural gas pipelines or Liquefied Natural Gas (LNG) plants and tankers. We use a Network Game theory where natural gas supply networks are treated as edges and adopt the Link-based Flexible Network Allocation Rule (LBFN) as a solution concept that can replace the Shapley Value. Our study reveals that Russia’s efforts to build diversionary routes effectively decrease the relative bargaining power of its traditional transit countries and increase its relative bargaining power. If there had been no Russian invasion of Ukraine in 2022, Nord Stream-2 would have come online as planned and Russia would have enjoyed high relative bargaining power as a dominant gas supplier. This is one of the underlying reasons why several European countries and the U.S. expressed strong opposition to the Nord Stream-2 project. However, if Russia cuts the gas supply to European countries as a result of recent events and the U.S. LNG penetrates into the European gas market, Russia will inevitably suffer from a huge decrease in its relative bargaining power. Full article

In human interactions, the facial expression of a bargaining partner may contain relevant information that affects prosocial decisions. We were interested in whether facial expressions of the recipient in the dictator game influence dictators’ behavior. To test this, we conducted an online study (n = 106) based on a modified version of a dictator game. The dictators allocated money between themselves and another person (recipient), who had no possibility to respond to the dictator. Importantly, before the allocation decision, the dictator was presented with the facial expression of the recipient (angry, disgusted, sad, smiling, or neutral). The results showed that dictators sent more money to recipients with sad or smiling facial expressions and less to recipients with angry or disgusted facial expressions compared with a neutral facial expression. Moreover, based on the sequential analysis of the decision and the interaction partner in the preceding trial, we found that decision-making depends upon previous interactions. Full article

Reputational systems promote pro-social behaviors, also in virtual environments, therefore their study contributes to the knowledge of social interactions. Literature findings emphasize the power of reputation in fostering fairness in many circumstances, even when its influence is not directly oriented towards specific individuals. The present study contributes to the investigation of the psychological antecedents of fairness, introducing (or not) reputation in the social dilemma framework. Although reputational systems usually influence fairness dynamics, there are also socio-psychological characteristics that can play a role, affecting the adhesion to the norm online. To investigate their effects, we employed a virtual bargaining game that could include a reputational system depending on the experimental condition. Results show that the participant’s fairness could be significantly influenced by socio-psychological and demographic characteristics, as well as personality traits. Reputation seems to decrease fairness in those individuals who report high levels of Neuroticism and Openness. At the same time, high values of Self-Efficacy appear to be more likely associated with unfair behaviors when reputation is off the bargaining. Finally, Age and Sense of Community emerge as fairness promoters regardless of the experimental condition. Full article

In this paper, we investigate economic performance and environmental performance of a dual-channel green supply chain (GSC). Given that most relevant literature still focus on the descriptive aspect of GSC, we adopt game theoretic approach rather than qualitative analysis method to address the following problems: (1) How can the integration of environmental and economic sustainability goals be achieved in GSC? (2) What is the impact of customer environmental awareness on the green level and profitability of the GSC? (3) How does the market demand changes in the presence of the online direct channel in addition to the traditional one? We establish four game models, which are decentralized scenario, centralized scenario, retailer-led revenue-sharing scenario and bargaining revenue-sharing scenario. In the decentralized scenario, participants in a GSC make individual decisions based on their specific interests. In the centralized scenario, the GSC is regarded as a whole and the participants make collective decisions to maximize the overall profit of the GSC. In addition, in the two revenue-sharing scenarios, revenue-sharing contracts as the important profit coordination systems are set up and the revenue-sharing ratio is determined either by the retailer or through bargaining. Moreover, the cost of green product research and development, customer environmental awareness and price sensitivity are also taken into account in the four scenarios. By comparing and analyzing the four game models, we recommend the two revenue-sharing scenarios as the optimum choice and improving green awareness as a feasible strategy to achieve the integration of economic and environmental goals of the GSC. Additionally, we find that online sales has become a major distribution channel of the GSC. Full article

In this paper, we propose effective data collection schemes that stimulate cooperation between selfish users in mobile opportunistic crowdsensing. A query issuer generates a query and requests replies within a given delay budget. When a data provider receives the query for the first time from an intermediate user, the former replies to it and authorizes the latter as the owner of the reply. Different data providers can reply to the same query. When a user that owns a reply meets the query issuer that generates the query, it requests the query issuer to pay credits. The query issuer pays credits and provides feedback to the data provider, which gives the reply. When a user that carries a feedback meets the data provider, the data provider pays credits to the user in order to adjust its claimed expertise. Queries, replies and feedbacks can be traded between mobile users. We propose an effective mechanism to define rewards for queries, replies and feedbacks. We formulate the bargain process as a two-person cooperative game, whose solution is found by using the Nash theorem. To improve the credit circulation, we design an online auction process, in which the wealthy user can buy replies and feedbacks from the starving one using credits. We have carried out extensive simulations based on real-world traces to evaluate the proposed schemes. Full article