| 1. |
- Batley, Richard, et al.
(författare)
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New appraisal values of travel time saving and reliability in Great Britain
- 2019
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Ingår i: Transportation. - : Springer. - 0049-4488 .- 1572-9435. ; 46:3, s. 583-621
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Tidskriftsartikel (refereegranskat)abstract
- This paper provides an overview of the study Provision of market research for value of time savings and reliability' undertaken by the Arup/ITS Leeds/Accent consortium for the UK Department for Transport (DfT). The paper summarises recommendations for revised national average values of in-vehicle travel time savings, reliability and time-related quality (e.g. crowding and congestion), which were developed using willingness-to-pay (WTP) methods, for a range of modes, and covering both business and non-work travel purposes. The paper examines variation in these values by characteristics of the traveller and trip, and offers insights into the uncertainties around the values, especially through the calculation of confidence intervals. With regards to non-work, our recommendations entail an increase of around 50% in values for commute, but a reduction of around 25% for other non-workrelative to previous DfT WebTAG' guidance. With regards to business, our recommendations are based on WTP, and thus represent a methodological shift away from the cost saving approach (CSA) traditionally used in WebTAG. These WTP-based business values show marked variation by distance; for trips of less than 20miles, values are around 75% lower than previous WebTAG values; for trips of around 100miles, WTP-based values are comparable to previous WebTAG; and for longer trips still, WTP-based values exceed those previously in WebTAG.
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| 2. |
- Olstam, Johan, 1979-, et al.
(författare)
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Modelling Eco-Driving Support System for Microscopic Traffic Simulation
- 2019
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Ingår i: Journal of Advanced Transportation. - : Hindawi Publishing Corporation. - 0197-6729 .- 2042-3195. ; 2019
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Tidskriftsartikel (refereegranskat)abstract
- Microscopic traffic simulation is an ideal tool for investigating the network level impacts of eco-driving in different networks and traffic conditions, under varying penetration rates and driver compliance rates. The reliability of the traffic simulation results however rely on the accurate representation of the simulation of the driver support system and the response of the driver to the eco-driving advice, as well as on a realistic modelling and calibration of the driver's behaviour. The state-of-the-art microscopic traffic simulation models however exclude detailed modelling of the driver response to eco-driver support systems. This paper fills in this research gap by presenting a framework for extending state-of-the-art traffic simulation models with sub models for drivers' compliance to advice from an advisory eco-driving support systems. The developed simulation framework includes among others a model of driver's compliance with the advice given by the system, a gear shifting model and a simplified model for estimating vehicles maximum possible acceleration. Data from field operational tests with a full advisory eco-driving system developed within the ecoDriver project was used to calibrate the developed compliance models. A set of verification simulations used to illustrate the effect of the combination of the ecoDriver system and drivers' compliance to the advices are also presented.
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| 3. |
- Olstam, Johan, 1979-, et al.
(författare)
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Traffic system impacts of green driving support systems
- 2016
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Rapport (övrigt vetenskapligt/konstnärligt)abstract
- The global aim of the ecoDriver project was to deliver the most effective advice to drivers on fuel efficient driving by optimising the driver-powertrain-environment feedback loop. More specifically, the focus of the project was on the interaction between technology and the driver, since the behaviour of a driver is a critical element in energy efficiency. By increasing the acceptance of eco-driving applications through intelligent HMI and advice solutions, the ecoDriver project substantially contributes to the Europe 2020 goals through a much needed reduction of gas emissions and energy usage in transport, and thereby a significant reduction in the negative impact of transport on the environment.The ecoDriver advice to drivers covers the whole spectrum, from previewing the upcoming situation, over optimising the current driving situation, to post-drive feedback and learning. The aim of the project was to optimise human machine interfaces (HMIs) and advice to drivers for both portable devices within the vehicle which provide assistance to the driver (nomadic devices) and built-in systems, and to compare the effectiveness of each. This was addressed across a wide range of vehicles — e.g. cars, light trucks and vans, medium and heavy trucks and buses — covering both individual and collective transport. Lastly, the project did not only examine driving with current and near-term powertrains, but also with a full range of future vehicles, including hybrid and plug-in electric vehicles.
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