共查询到12条相似文献,搜索用时 0 毫秒
1.
Eunjin Choi 《International Journal of Sustainable Transportation》2017,11(6):395-405
The models based on vehicle speed have been used to estimate fuel consumption and CO2 emissions. However, these models could not properly estimate the change in fuel consumption and CO2 emissions as the speed changes. As for the alternative method, people try to consider using acceleration instead of speed. Although acceleration has been seriously considered, determining critical aggressive acceleration value in relation to fuel consumption and CO2 emissions is difficult to find. In this study, evaluation models of fuel consumption were developed using instantaneous acceleration, and we defined the critical aggressive acceleration values for different states of the vehicle from the viewpoints of fuel consumption and emissions. We used a mid-sized Liquefied Petroleum Gas (LPG) passenger car and obtained instantaneous data from a digital tachograph installed in the car while it accelerates. We developed two fuel consumption models and found critical aggressive accelerations, respectively: a model of starting vehicle that measures range of speed required to overcome the inertia during acceleration from stop state, and the other model for the driving state. We used Classification and Regression Tree (CART) analysis to find the critical aggressive accelerations at which the increments of fuel consumption change abruptly. As a result, the critical aggressive accelerations causing abrupt change in the increments of fuel consumption were found to be 2.598 m/s2 for the starting of vehicles and 1.4705 m/s2 when driving them. We also found that the increments of fuel consumption can be explained through quadratic and exponential functions with instantaneous acceleration. 相似文献
2.
Jackeline Rios-Torres Jun Liu Asad Khattak 《International Journal of Sustainable Transportation》2019,13(2):123-137
Improving fuel economy and lowering emissions are key societal goals. Standard driving cycles, pre-designed by the US Environmental Protection Agency (EPA), have long been used to estimate vehicle fuel economy in laboratory-controlled conditions. They have also been used to test and tune different energy management strategies for hybrid electric vehicles (HEVs). This paper aims to estimate fuel consumption for a conventional vehicle and a HEV using personalized driving cycles extracted from real-world data to study the effects of different driving styles and vehicle types on fuel consumption when compared to the estimates based on standard driving cycles. To do this, we extracted driving cycles for conventional vehicles and HEVs from a large-scale U.S. survey that contains real-world GPS-based driving records. Next, the driving cycles were assigned to one of three categories: volatile, normal, or calm. Then, the driving cycles were used along with a driver-vehicle simulation that captures driver decisions (vehicle speed during a trip), powertrain, and vehicle dynamics to estimate fuel consumption for conventional vehicles and HEVs with power-split powertrain. To further optimize fuel consumption for HEVs, the Equivalent Consumption Minimization Strategy (ECMS) is applied. The results show that depending on the driving style and the driving scenario, conventional vehicle fuel consumption can vary widely compared with standard EPA driving cycles. Specifically, conventional vehicle fuel consumption was 13% lower in calm urban driving, but almost 34% higher for volatile highway driving compared with standard EPA driving cycles. Interestingly, when a driving cycle is predicted based on the application of case-based reasoning and used to tune the power distribution in a hybrid electric vehicle, its fuel consumption can be reduced by up to 12% in urban driving. Implications and limitations of the findings are discussed. 相似文献
3.
N. P. D. Martin J. D. K. Bishop 《International Journal of Sustainable Transportation》2017,11(3):230-236
Consumer, legal, and technological factors influence the design, performance, and emissions of light-duty vehicles (LDVs). This work examines how design choices made by manufacturers for the UK market result in emissions and performance of vehicles throughout the past decade (2001–2011). LDV fuel consumption, CO2 emissions, and performance are compared across different combinations of air and fuel delivery system using vehicle performance metrics of power density and time to accelerate from rest to 100 km/h (62 mph, tz-62). Increased adoption of direct injection and turbocharging technologies helped reduce spark ignition (SI, gasoline vehicles) and compression ignition (CI, diesel vehicles) fuel consumption by 22% and 19%, respectively, over the decade. These improvements were largely achieved by increasing compression ratios in SI vehicles (3.6%), turbocharging CI vehicles, and engine downsizing by 5.7–6.5% across all technologies. Simultaneously, vehicle performance improved, through increased engine power density resulting in greater acceleration. Across the decade, tz-62 fell 9.4% and engine power density increased 17% for SI vehicles. For CI vehicles, tz-62 fell 18% while engine power density rose 28%. Greater fuel consumption reductions could have been achieved if vehicle acceleration was maintained at 2001 levels, applying drive train improvements to improved fuel economy and reduced CO2 emissions. Fuel consumption and CO2 emissions declined at faster rates once the European emissions standards were introduced with SI CO2 emissions improving by 3.4 g/km/year for 2001–2007 to 7.8 g/km/year thereafter. Similarly, CI LDVs declined by 2.0 g/km/year for 2001–2007 and 6.1 g/km/year after. 相似文献
4.
In-Jae Jeong 《International Journal of Sustainable Transportation》2017,11(2):86-97
This article deals with the refueling-station location problem for alternative fuel vehicles in a traffic network. Alternative fuel vehicles can be characterized by the vehicle range that limits the travelable distance with fuel at full capacity. I propose an efficient formulation of the refueling-station location problem using an optimal property and prove that the problem is NP(Non-deterministic Polynomial)-complete in the strong sense. I consider a special case of the refueling-station location problem in which the construction costs are equal for all nodes. In this case, the problem is to determine refueling station locations to minimize the total number of stations, while making the possible multiple predetermined origin–destination round-trips. I propose an optimal algorithm applicable when no refueling stations currently exist in a traffic network and a dynamic programming based algorithm applicable when a set of refueling stations already exists. I apply the algorithms to a traffic network to study the diffusion of refueling stations and predict the speed and range of station establishment. The computational experiments show that the speed of diffusion depends on the vehicle range and the sequence of the origin–destination demands considered in the diffusion process. 相似文献
5.
This paper explores the relationship between transport emissions and various measures of passenger travel patterns in Britain. The paper uses original data from the 1989/91 National Travel Survey and identifies a method for incorporating a range of vehicle operating conditions into calculations of vehicle emissions and energy consumption for each journey recorded in the National Travel Survey data. The paper shows that travel distance is a reasonable proxy for vehicle energy consumption and emissions of most pollutants. Travel distance per person is therefore a simple and readily available environmental indicator for transport. This indicator has potential application in the assessment of current transport policies and programmes and in the development of future policies and programmes. 相似文献
6.
内燃机车燃油单耗模块管理系统的构建与应用 总被引:2,自引:0,他引:2
内燃机车牵引总重每万吨公里所消耗的燃油量是铁路运营工作的一项重要经济指标。利用成组技术管理法与内燃机车车载油耗记录分析仪、燃油单耗模块管理软件、油品自动发放管理系统相结合,实现机车燃油单耗模块的应用,提高了机车油耗管理水平。 相似文献
7.
Yan Liu 《International Journal of Sustainable Transportation》2018,12(7):473-483
This article employs an integrated discrete-continuous car ownership model to jointly forecast households’ future preferences on vehicle type, quantity and use, and to estimate greenhouse gas (GHG) emissions. The model system is estimated on a dataset collected from a web-based stated preference survey conducted in Maryland in 2014. The data contain vehicle purchase decisions and sociodemographic information of 456 households who were requested to state their future preferences over a 9-year period (2014–2022). In each time period, a respondent is faced to four alternatives that include the current vehicle, a new gasoline vehicle, a new hybrid electric vehicle, and a new battery electric vehicle. Intertemporal choices between conventional and “green” vehicles such as hybrid and electric cars capture dynamics in vehicle purchase decisions. Short run and medium-long run situations were predicted and compared based on the first 4-year data and the entire 9-year data of the dynamic panel. Vehicle GHG emissions were calculated correspondingly. We find the introduction of “green” vehicles makes a positive impact on car ownership and use, especially in a medium-long run. Two “green” taxation policies, gasoline tax and ownership tax, were proposed and their impact on vehicle use and emission reductions was evaluated. Results indicate that: (a) gasoline tax is a more effective way to reduce vehicle miles traveled and GHG emissions and (b) gasoline tax makes a higher impact on car use and emission reductions in the medium-long run, while ownership tax makes a higher impact in the short run. 相似文献
8.
Soon enough, autonomous driving systems may not need drivers at all. Ideally, a passenger can ride an autonomous vehicle (AUV) from one location to another without (either partial or complete) human intervention, inherently removing aberrant human driving behavior from the equation, requiring no or only a few parking spaces near a passenger’s destination, and possessing environmental advantages over traditional vehicles powered by internal combustion engines. The current study aims to investigate the interrelationships between influential factors and behavioral intention with regard to AUVs. The research was implemented with: (1) partial least squares structural equation modeling (PLS-SEM) to examine path relationships, (2) partial least squares multi-group analysis (PLS-MGA) to elaborate observed heterogeneity, and (3) partial least squares prediction orientation segmentation (PLS-POS) to study unobserved heterogeneity. The empirical results showed significant direct effects for Hypotheses H1-a?~?H1-c (Attitude, Subjective norm, and Perceived Behavior Control on Behavior Intention) and for Hypothesis H3-a (Personal Innovativeness on Behavior Intention). Additionally, the results showed that observed heterogeneity does not exist by gender, and by city, and that unobserved heterogeneity can be best identified and divided into two segments by employing PLS-POS. A few final remarks concern the research findings and preparing for future AUV transportation. 相似文献
9.
Jens Hagman 《International Journal of Sustainable Transportation》2019,13(6):450-459
This study investigates the usability of electric vehicles (EVs) in a taxi company in Greater Stockholm, Sweden. By investigating cost and revenue data of both electric and conventional taxi vehicles, as well as by interviewing taxi drivers and carriers, an assessment has been made of the financial and operational implications of using EVs in a company’s taxi fleet. Both the drivers’ and the carriers’ perspectives have been examined. The main findings are that the investigated e-taxis have a similar or lower Total Cost of Ownership and slightly higher profitability than the investigated conventional taxis. For taxi drivers, using e-taxis implies more advanced planning and revenue service time being sacrificed for charging. However, certain customers’ preferences for EVs, as well as benefits such as corporate clients favoring e-taxis and a zero emission priority queuing system at Stockholm’s main international airport (partly) compensate for time devoted to charging. In order to facilitate increased use of e-taxis, more fast charging facilities should become available at strategic locations. Besides that, there are signs that carriers’ lack of information about the opportunities and consequences of shifting towards e-taxis hamper a wider deployment of e-taxis. 相似文献
10.
The explosive growth of peer-to-peer (P2P) accommodation service presents a potential transformation in the competitive landscape of accommodation sector. This research explores the market characteristics and the factors that drive and hinder the use of P2P accommodation to better explain the phenomenon of collaborative consumption in the tourism and hospitality marketplace. Using responses from travellers residing in the United States and Finland, exploratory factor analyses revealed two factors that drive the use of P2P accommodation: social appeal (desire for community and sustainability) and economic appeal (cost savings). The barriers include issues of trust, efficacy and familiarity with the system, and cost. The empirical evidence from this study suggests several managerial implications for tourism and hospitality businesses and directions for future research. 相似文献
11.
The paper examines the growth of a ‘new tourism area’ in Islington, north London — a locality that lacks a large attraction, acknowledged distinctive heritage and has not been planned as a destination. We review supply side changes and link them to the recent literature on economic and spatial trends in cities, particularly the role of amenity. We report on a survey of Islington visitors that shows they are drawn by distinctive qualities of place rather than particular attractions. The visitors have characteristics that distinguish them from visitors to London as a whole, but we speculate that they have similarities to Islington workers and residents in their search for amenity, entertainment and high‐level consumption services. In the final section of the paper we explore the consequences of our findings for understanding the growth of urban tourism. Copyright © 2004 John Wiley & Sons, Ltd. 相似文献
12.
Eleftheria Kontou Yafeng Yin Zhenhong Lin Fang He 《International Journal of Sustainable Transportation》2017,11(10):749-763
In this study, a framework is proposed for minimizing the societal cost of replacing gas-powered household passenger cars with battery electric ones (BEVs). The societal cost consists of operational costs of heterogeneous driving patterns' cars, government investments for charging deployment, and monetized environmental externalities. The optimization framework determines the timeframe needed for conventional vehicles to be replaced with BEVs. It also determines the BEVs driving range during the planning timeframe, as well as the density of public chargers deployed on a linear transportation network over time. We leverage data sets that represent US household driving patterns, as well as the automobile and the energy markets, to apply the model. Results indicate that it takes 8 years for 80% of our conventional vehicle sample to be replaced with electric vehicles, under the base case scenario. The socially optimal all-electric driving range is 204 miles, with chargers placed every 172 miles on a linear corridor. All public chargers should be deployed at the beginning of the planning horizon to achieve greater savings over the years. Sensitivity analysis reveals that the timeframe for the socially optimal conversion of 80% of the sample varies from 6 to 12 years. The optimal decision variables are sensitive to battery pack and vehicle body cost, gasoline cost, the discount rate, and conventional vehicles' fuel economy. Faster conventional vehicle replacement is achieved when the gasoline cost increases, electricity cost decreases, and battery packs become cheaper over the years. 相似文献