Energy and emissions impacts of a freeway-based dynamic eco-driving system

Surface transportation consumes a vast quantity of fuel and accounts for about a third of the US CO₂ emissions. In addition to the use of more fuel-efficient vehicles and carbon-neutral alternative fuels, fuel consumption and CO₂ emissions can be lowered through a variety of strategies that reduce congestion, smooth traffic flow, and reduce excessive vehicle speeds. Eco-driving is one such strategy. It typically consists of changing a person’s driving behavior by providing general static advice to the driver (e.g. do not accelerate too quickly, reduce speeds, etc.). In this study, we investigate the concept of dynamic eco-driving, where advice is given in real-time to drivers changing traffic conditions in the vehicle’s vicinity. This dynamic strategy takes advantage of real-time traffic sensing and telematics, allowing for a traffic management system to monitor traffic speed, density, and flow, and then communicates advice in real-time back to the vehicles. By providing dynamic advice to drivers, approximately 10–20% in fuel savings and lower CO₂ emissions are possible without a significant increase in travel time. Based on simulations, it was found that in general, higher percentage reductions in fuel consumption and CO₂ emission occur during severe compared to less congested scenarios. Real-world experiments have also been carried out, showing similar reductions but to a slightly smaller degree.     

CO2 efficiency in road freight transportation: Status quo, measures and potential

Road freight transport continues to grow in Germany and generates 6% of the country’s CO₂ emissions. In logistics, many decisions influence the energy efficiency of trucks, but causalities are not well understood. Little work has been done on quantifying the potential for further CO₂ reduction and the effect of specific activities, such as introducing computer assisted scheduling systems to trucking firms. A survey was survey out and linked fuel consumption to transport performance parameters in 50 German haulage companies during 2003. Emission efficiency ranged from 0.8 tonne-km to 26 tonne-km for 1 kg CO₂ emissions. The results show potential for improvements given a low level of vehicle usage and load factor levels, scarce use of lightweight vehicle design, poorly selected vehicles and a high proportion of empty runs. IT-based scheduling systems with telematic application for data communication, positioning and navigation show positive effects on efficiency. Fuel use and transport performance was measured before and after the introduction of these systems.     

Using GPS data to analyse the distance travelled to the first accident at fault in pay-as-you-drive insurance

In this paper we employ survival analysis methods to analyse the impact of driving patterns on distance travelled before a first claim is made by young drivers underwriting a pay-as-you-drive insurance scheme. An empirical application is presented in which we analyse real data collected by a GPS system from a leading Spanish insurer. We show that men have riskier driving patterns than women and, moreover, that there are gender differences in the impact driving patterns have on the risk of being involved in an accident. The implications of these results are discussed in terms of the ‘no-gender’ discrimination regulation.     

车载Telematics系统研究

车载Telematics系统通过位置信息和无线通信网络,整合多种服务应用,为汽车驾乘者提供安防、辅助导航及信息通信、娱乐等综合性服务.本文详细剖析车载Telematics系统服务的主要内容及其产业链上下游的关系,提出可行的Telematics体系架构,另外,采用划分功能模块的方式对车载终端的硬件和软件系统结构进行设计,...     

Semi-autonomous vehicle motor insurance: A Bayesian Network risk transfer approach

All developed economies mandate at least third party auto insurance resulting inW a vast global liability industry. The evolution towards semi-autonomous and eventually driverless vehicles will progressively remove the leading cause of vehicle accidents, human error, and significantly lower vehicle accident rates. However, this transition will force a departure from existing actuarial methods requires careful management to ensure risks are correctly assigned. Personal motor insurance lines are anticipated to diminish as liability shifts towards OEMs, tier 1 and 2 suppliers and software developers. Vehicle accident risks will hinge on vehicular characteristics in addition to driver related risks as drivers alternate between autonomous and manual driving modes. This paper proposes a Bayesian Network statistical risk estimation approach that can accommodate changing risk levels and the emergence of new risk structures. We demonstrate the use of this method for a Level 3 semi-autonomous vehicle for two scenarios, one where the driver is in control and one where the vehicle is in control. This approach is especially suited to use telematics data generated from the vehicle inherent technologies. We validate the efficacy of this approach from the perspective of the insurer and discuss how vehicle technology development will require a greater degree of collaboration between the insurance company and the manufacturers in order to develop a greater understanding of the risks semi-autonomous and fully autonomous vehicles.     

An evaluation of the user characteristics of an open access DRT service

The successful provision of Demand Responsive Transport (DRT) in Europe, Australia, UK and the US has been addressed in several substantial studies and projects. The general finding of these studies is that DRT is a suitable transport solution in particular areas and can deliver social inclusion and community building objectives. Existing research confirms that DRT is particularly useful for connecting isolated communities and population groups to essential services such as healthcare and is cost-effective in terms of contributing greatly to community wellbeing. However, many existing DRT services are still not performing to their true potential, and many of them could not be viable as commercial services. The aim of this study is to develop greater understanding of DRT services from the passengers’ perspective using a case study of LinkUp in Tyne and Wear, one of the most successful DRT schemes in the UK. The paper has two key objectives: (a) to critically review, in the context of the detailed case study the general characteristics of the selected DRT scheme; and (b) to analyse and interpret the findings from a detailed survey of users (who are predominately elderly and female) with regard to passenger characteristics, their attitudes and perception of the service and their suggestions for improvement.     

Telematics系统及其在金旅客车上的应用

Telematics作为计算机和无线通信技术的融合体,可提供一种高效率的信息传递渠道,以达到满足各种商业功能和政府相关公众服务的目的。本文介绍国内外Telematics的发展情况,以及金旅客车在Telematics项目上的研究成果。