Lane changing intention recognition based on speech recognition models

Poor driving habits such as not using turn signals when changing lanes present a major challenge to advanced driver assistance systems that rely on turn signals. To address this problem, we propose a novel algorithm combining the hidden Markov model (HMM) and Bayesian filtering (BF) techniques to recognize a driver’s lane changing intention. In the HMM component, the grammar definition is inspired by speech recognition models, and the output is a preliminary behavior classification. As for the BF component, the final behavior classification is produced based on the current and preceding outputs of the HMMs. A naturalistic data set is used to train and validate the proposed algorithm. The results reveal that the proposed HMM–BF framework can achieve a recognition accuracy of 93.5% and 90.3% for right and left lane changing, respectively, which is a significant improvement compared with the HMM-only algorithm. The recognition time results show that the proposed algorithm can recognize a behavior correctly at an early stage.     

Intention and willingness to pay for green freight transportation: An empirical examination

The objective of this paper is to explore what motivates consumer intention and willingness to pay for green transportation. The model is based on the theory of planned behavior and explains the relationship between consumer attitude, perceived behavioral control and peer pressure on intention and willingness to pay for a t-shirt that was transported using energy efficient fuel. Data from a survey of U.S. consumers is analyzed. Results suggest consumer attitude and peer pressure are positively associated with intention which is positively associated with willingness to pay. High levels of consumer attitude, perceived behavioral control and intention suggest a positive outlook for organizations investing in green transportation initiatives. Results also suggest a need for organizations and government to market and educate consumers and citizens about the positive implications of green transportation and using energy efficient fuel.     

Modelling the adoption intention and installation choice of an automotive after-market mild-solar-hybridization kit

Despite the recent commercial success of hybrid, plug-in hybrid and electric vehicles their market share is still insufficient to produce either a significant impact on energy consumption on a global basis or a profitable automotive segment. In this context, the possibility of upgrading conventional vehicles to hybrid electric vehicles is gaining increasing interest.To this aim this paper investigated and modelled the intention to install an after-market hybridization solar-kit (HySolarKit) in order to ascertain the main behavioural determinants of the choice process and set up an operational model with which to estimate the market potential of such technology. In particular, two behavioural stages of the choice process were analysed and modelled: (i) the intention to adopt the HySolarKit; (ii) the choice to install the HySolarKit. Both issues were addressed through ad hoc stated preference surveys carried out in two different Italian cities, and through the specification and the calibration of discrete choice models based on the behavioural paradigm of random utility theory. Different modelling solutions (homoscedastic and heteroscedastic) were compared in terms of goodness-of-fit and sensitivity to level-of-service attributes. The results showed the technological potential of the HySolarKit, and that both behavioural stages may be effectively modelled through random utility theory. Estimation results allowed an interpretation of the main determinants of the investigated phenomena, making it possible to quantify the potential effects and the concerns towards such a green solution, and making it possible to draw up operative marketing strategies. In particular, the intention to adopt the kit mainly depends on socio-economic factors as well as activity-related and attitudinal attributes, whereas the probability of installing the kit is greatly affected, to the same extent, by installation cost, the charging cost and the weekly mileage driven.     

User satisfaction with battery electric vehicles in South Korea

Battery electric vehicles (BEVs) have been promoted by the government over the last several years, driven by public concern over pollutant emissions from internal combustion engines. However, the conditions related to driving BEVs are not yet satisfactory for many BEV users, as evident from sluggish market growth compared with general market forecasts. Thus, a fundamental aspect of diagnosing the current conditions of BEV operation is to evaluate BEV user satisfaction. This study establishes hypothetical links between potential factors and BEV user satisfaction, and between BEV use satisfaction and intention to repurchase and recommend. The hypothetical links are specified using a partial least squares structural equation model (PLS-SEM) and estimated based on a survey of actual BEV owners (N=160) who had driven BEVs for at least six months. The outcomes of PLS-SEM suggest that seven relations out of nine hypothetical links were statistically significant. In particular, it is noticeable that the intention for cost-saving during operation is a key factor for BEV user satisfaction and that user satisfaction with range and charging has a positive effect on the overall satisfaction of BEV users. Furthermore, those who are satisfied with BEVs have the intention to repurchase and recommend BEVs to others. Because this study was conducted based on actual experience of BEV users, the findings could enhance understanding of the BEV driving environment and, thus, pave the way to provision of better service for BEV users.     

Advances in consumer electric vehicle adoption research: A review and research agenda

In spite of the purported positive environmental consequences of electrifying the light duty vehicle fleet, the number of electric vehicles (EVs) in use is still insignificant. One reason for the modest adoption figures is that the mass acceptance of EVs to a large extent is reliant on consumers’ perception of EVs. This paper presents a comprehensive overview of the drivers for and barriers against consumer adoption of plug-in EVs, as well as an overview of the theoretical perspectives that have been utilized for understanding consumer intentions and adoption behavior towards EVs. In addition, we identify gaps and limitations in existing research and suggest areas in which future research would be able to contribute.     

福建省中小货代企业人员离职意向研究

近年来国际货运代理行业的竞争非常激烈,员工离职、跳槽现象很普遍,给企业带来严重的负面影响。文章将影响货代从业人员离职意向的因素归纳为7个具体因子,通过相关性分析与多元回归分析等方法,探讨影响福建省货代行业员工的离职意向的具体因素,为货代企业的人力资源管理找到切合实际的办法。     

《动物农场》中两条被篡改戒律的译法比较

一个作品总有一定的目的,并且有实现这个目的的手段。译者如果认同那个目的,就应在译文中采用相同或类似的手段,以使译文实现其目的。文章从写作目的和手段及译文目的和译文手段几个方面对《动物农场》中两条被篡改的“戒律”的不同译文进行了比较,提出译者要敏锐觉察原文“记号”的重要提示作用以及其在译文中的再现。     

车辆AMT中道路条件及驾驶意图的模糊识别

本文论述了车辆AMT中道路条件及驾驶意图模糊识别的必要性，提出了道路条件及驾驶意图的模糊识别方法，最后给出了在AMT挡位决策中的应用实例。