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(电动自行车和踏板车)的使用一直在显着增长,预计到2030年 ** 的市场规模将达到5000亿美元 **(麦肯锡2021)。共享和私人电动自行车和踏板车的使用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,行程连续每年翻一番。** 微交通将是减少交通流量和到2030年实现净零排放的关键 **。微交通的增长并非没有挑战-特别是 ** 安全和停车合规性 **。最初的几次试验导致街道混乱,大道受阻,这反过来又导致 ** 对使用和停车位要求的压制。居民和企业都不满意。视障人士和盲人尤其受到 ** 慈善机构呼吁终止微移动计划 ** 的影响(卫报2022年4月27日)。供应商和地方当局仍在努力激励和管理停车场。我们知道我们可以做得更好。Captur和Unitary希望通过为供应商、客户和地方当局提供 ** 支持AI的技术来使微移动为每个人服务,以减少街道的混乱。通过构建 ** 安全验证算法 **,根据用户骑行后拍摄的图像自动检查车辆停放的环境,我们将有助于提高停车合规性,** 使街道更安全,并有助于减少摩擦。最终,这将大大有助于微移动的吸收,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: