Reducing the ice hazard on smart motorways
Reducing the ice hazard on smart motorways
批准号:
NE/P008976/1
负责人:
Lee Chapman
金额:
$8.2万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2017
资助国家:
英国
项目状态:
已结题
起止时间:
2017 至 --
中文摘要
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英文摘要
This co-designed project with Highways England will reduce the ice hazard on motorways. As part of a nationwide trial of smart motorways, 'all lane' and 'hard shoulder running' are being used to increase capacity on critical sections of the GB motorway network. However, this approach, along with traditional road widening, has implications for winter road maintenance strategy. Significant surface temperature differences exist between lanes on motorways and it is not uncommon to find a difference of 2C between the inside and outside lane of the motorway. For example, in the case of hard shoulder running, differences between the inside lane and the previously un-trafficked hard shoulder of the motorway will be significant. A consequence of this, is when the hard shoulder is first opened to traffic (e.g. during the morning rush hour), an ice hazard may exist on this lane, whilst the other lanes remain above freezing. There is a need to better understand, and monitor, these differences in temperature so that it can be incorporated into the winter maintenance strategy used by Highways England.This project will translate existing technology developed on previous research projects to quantify the temperature difference between motorway lanes. The data will be available in real time, using an 'internet of things' approach alerting engineers of the need to conduct gritting operations on cooler lanes. Hence, this project will not only impact on the actions of the project partners (potentially saving money on gritting operations), but will also improve the safety of the network for all road users. The project is particularly timely given the ongoing inquiry into 'all lane running' by the commons select transport committee.The overall aim of this project is to produce a prototype decision support system that will provide information regarding the surface temperature of all motorway lanes which can be used to make efficiency savings as well as being consulted prior to opening the hard shoulder to traffic. This aim will be realised by the following objectives:1. Installation of transects of networked low-cost sensors across motorway gantries, providing surface temperature information across all lanes.2. Development of a cloud based data hub to process and visualise data3. Integration of data into existing winter maintenance / smart motorways strategies.This short project has two key deliverables. Firstly, the project will provide tacit knowledge of temperature differences on multi-laned roads. This information can then be used inform winter maintenance strategy more generally across the network without significant further investment. Secondly, the prototype decision support system will provide detailed and reliable real-time measurements on the selected road section leading to efficiency savings for the project partner. This approach could readily be extended across the network, given the compatibility of this approach with the 'smart motorway' approach. The project will last for 7 months to cover a substantial part of the winter season (November 2016 - May 2017) and will cost in the region of £70k (£56k 80% FEC).
期刊论文(5)
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Building Urban Climate Resilience: An Urban Observatory Approach
建设城市气候适应能力:城市观测方法
DOI:
--
发表时间:
2019
期刊:
影响因子:
--
作者:
[Chapman, L]
通讯作者:
Chapman, L
High-Resolution Monitoring of Weather Impacts on Infrastructure Networks.
天气对基础设施网络影响的高分辨率监测。
DOI:
--
发表时间:
2017
期刊:
影响因子:
--
作者:
[Chapman L]
通讯作者:
Chapman L
DOI:
10.1175/bams-d-17-0214.1
发表时间:
2018-06
期刊:
Bulletin of the American Meteorological Society
影响因子:
8
作者:
[L. Chapman;S. Bell]
通讯作者:
L. Chapman;S. Bell
Observations, monitoring, modelling and artificial intelligence? What does the future hold?
观察、监测、建模和人工智能?
DOI:
--
发表时间:
2019
期刊:
影响因子:
--
作者:
[Chapman, L]
通讯作者:
Chapman, L
Network design considerations for high resolution RWIS
高分辨率 RWIS 的网络设计注意事项
DOI:
--
发表时间:
2018
期刊:
影响因子:
--
作者:
[Chapman L]
通讯作者:
Chapman L
Wintersense: Demonstrating the potential of the IoT in winter road maintenance
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批准号:EP/L02375X/1
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项目类别:Research Grant
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资助金额:$21.08万
-
财政年份:2014
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负责人:Lee Chapman
-
依托单位:
Dynamic heat risk management to reduce the costs of propagating hot weather delays on the railway network.
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财政年份:2011
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负责人:Lee Chapman
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国内基金
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