Making cities safer and cleaner using micro-mobility and machine learning
Making cities safer and cleaner using micro-mobility and machine learning
批准号:
10043705
负责人:
金额:
$43.02万
依托单位:
依托单位国家:
英国
项目类别:
Collaborative R&D
财政年份:
2023
资助国家:
英国
项目状态:
已结题
起止时间:
2023 至 --
中文摘要
微型移动性(电动自行车和滑板车)的使用一直在显著增长,**预计到2030年市场规模将达到5000亿美元**(麦肯锡2021年)。电动自行车和滑板车的使用,无论是共享的还是私人的,已经开始成为城市交通网络的重要组成部分,从2019年到2021年,出行里程连续每年翻一番。**微移动性将是减少交通量并在2030年前实现净零的关键**。微移动性的增长并不是没有挑战--特别是**安全和停车合规性**。最初的几次试验导致街道混乱,道路堵塞,这反过来又导致**对使用和停车位要求的**取缔。**居民和企业感到不满。尤其是视障人士和盲人,**慈善机构呼吁终止微型移动计划**(《卫报》2022/27/04)。**供应商和地方当局仍在努力激励和监管停车。**我们知道我们可以做得更好。Capture和Unitary希望通过为供应商、客户和地方当局提供**人工智能技术来清理街道,让微移动为每个人服务。**通过构建**安全验证算法**,根据用户骑车后拍摄的图像自动检查车辆停放的位置,我们将帮助提高停车合规性,**让街道更安全,并帮助减少摩擦。**最终,这将大大促进微移动的普及,并最终**减少城市地区的汽车使用和排放。**
英文摘要
The use of micro-mobility (e-bikes and scooters) has been growing significantly with a **projected market size of $500bn by 2030** (McKinsey 2021). The use of e-bikes and scooters, both shared and private, are already beginning to form a significant part of the urban transport network, with journeys doubling each consecutive year from 2019 to 2021\. **micro-mobility will be key to reducing traffic and achieving Net Zero by 2030**.This growth in micro-mobility has not been without its challenges - in particular, **safety and parking compliance**. Several initial trials led to streets being cluttered and thoroughfares obstructed which in turn led to **clamp-downs on use and parking bay requirements being mandated.** Residents and businesses are unhappy. Visually impaired and blind people in particular have suffered with **charities calling for micro-mobility schemes to be terminated** (The Guardian 27/04/2022).**Suppliers and local authorities still struggle to incentivise and police parking.** We know that we can do better. Captur and Unitary want to make micro-mobility work for everyone by providing suppliers, customers and local authorities with **AI-enabled technology to de-clutter the streets.** By building **safety verification algorithms** to automatically check the context of where vehicles are parked based on images taken by users post-ride, we will help to improve parking compliance, **make streets safer and help reduce friction.** Ultimately, this will contribute considerably to micro-mobility uptake and eventually **reduce car use and emissions in urban areas.**
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专著(0)
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会议论文
国内基金
海外基金
中国的城市变化及其自组织的空间动力学
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批准号:40335051
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项目类别:重点项目
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资助金额:90.0万元
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批准年份:2003
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负责人:周一星
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依托单位: