URBAN CURATING 城市策展 - FACE TRACKING 人脸追踪 - VIRTUAL REALITY 虚拟现实 - RELAX AREA 休闲区 - AUGMENTED REALITY 增强现实 - RAILWAY STATION 火车站 - URBAN CURATING 城市策展 - FACE TRACKING 人脸追踪 - VIRTUAL REALITY 虚拟现实 - RELAX AREA 休闲区 - AUGMENTED REALITY 增强现实 - RAILWAY STATION 火车站 - URBAN CURATING 城市策展 - FACE TRACKING 人脸追踪 - VIRTUAL REALITY 虚拟现实 - RELAX AREA 休闲区 - AUGMENTED REALITY 增强现实 - RAILWAY STATION 火车站 - URBAN CURATING 城市策展 - FACE TRACKING 人脸追踪 - VIRTUAL REALITY 虚拟现实 - RELAX AREA 休闲区 - AUGMENTED REALITY 增强现实 - RAILWAY STATION 火车站 -URBAN CURATING 城市策展 - FACE TRACKING 人脸追踪 - VIRTUAL REALITY 虚拟现实 - RELAX AREA 休闲区 - AUGMENTED REALITY 增强现实 - RAILWAY STATION 火车站 - URBAN CURATING 城市策展 - FACE TRACKING 人脸追踪 - VIRTUAL REALITY 虚拟现实 - RELAX AREA 休闲区 - AUGMENTED REALITY 增强现实 - RAILWAY STATION 火车站 - URBAN CURATING 城市策展 - FACE TRACKING 人脸追踪 - VIRTUAL REALITY 虚拟现实 - RELAX AREA 休闲区 - AUGMENTED REALITY 增强现实 - RAILWAY STATION 火车站 - URBAN CURATING 城市策展 - FACE TRACKING 人脸追踪 - VIRTUAL REALITY 虚拟现实 - RELAX AREA 休闲区 - AUGMENTED REALITY 增强现实 - RAILWAY STATION 火车站 - URBAN CURATING 城市策展 - FACE TRACKING 人脸追踪 - VIRTUAL REALITY 虚拟现实 - RELAX AREA 休闲区 - AUGMENTED REALITY 增强现实 - RAILWAY STATION 火车站 - URBAN CURATING 城市策展 - FACE TRACKING 人脸追踪 - VIRTUAL REALITY 虚拟现实 - RELAX AREA 休闲区 - AUGMENTED REALITY 增强现实 - RAILWAY STATION 火车站 - URBAN CURATING 城市策展 - FACE TRACKING 人脸追踪 - VIRTUAL REALITY 虚拟现实 - RELAX AREA 休闲区 - AUGMENTED REALITY 增强现实 - RAILWAY STATION 火车站 - URBAN CURATING 城市策展 - FACE TRACKING 人脸追踪 - VIRTUAL REALITY 虚拟现实 - RELAX AREA 休闲区 - AUGMENTED REALITY 增强现实 - RAILWAY STATION 火车站

Transforming the Landscape of Mobility


改变交通出行的景象 Transforming the Landscape of Mobility

MIC (Mobility in Chain) with Tiziano Cattaneo and Carmelo Ignaccolo

在过去的几十年里,我们经历了人口的指数增长,也反映在机动车总量不断增加的趋势上。根据2018年世界银行的报告,未来30年内路面行驶的车辆总量将增加一倍,在2050年达到20亿辆。如果将西方国家的人均小客车拥有量参数引用到东亚地区,我们将见证世界有史以来最大的机动车化浪潮。基于这个趋势,我们已经可以预见一个前所未有的社会层面、科学技术层面和经济层面上的变革,它将从根本上改变人们和事物的移动方式。

由于不断出现的新技术和社会经济因素,一个可以预见的系统化改变将取代现在的出行模式,并阻止已经存在的交通问题继续恶化。

更具体地说,新的愿景必须首先关注深圳大都市蔓延区和广东农村地区,这些地区大部分缺少公共交通,以微弱和分散的出行需求为特征,所以相比于其他交通工具,小汽车的使用率呈现较高比例。

该提案主要由两个部分组成:第一部分着眼于AI系统支持的无人驾驶技术的可能性。想象一下,新一代电动汽车将利用道路网络作为新型出行方式的基础,帮助我们迅速摆脱固定导向型基础设施。传统公共交通在低密度区域是效率低下的,因为低下和分散的出行需求无法满足交通服务的经济可持续性。为适应这种情况,新的交通系统应动态地适应用户需求,提高私人车辆的灵活性和覆盖范围,但要通过集体和共享的方式。得益于人工智能,可移动性作为一种服务内容,将提供优化和量身定制的交通服务,与此同时,算法将会优化服务,并预测或适应不同环境下的用户需求。

第二部分着重发展将乘客与车辆外部环境重新连接的机会,而不是像传统汽车那样隔离乘客。 通过将用户和周边环境事物接入感知设备,新一代汽车将实现用户与外界之间的联系,使乘客与其他道路使用者和周围景观融为一体。

In the last decades, the exponential growth of the population has been mirrored by a restless increase in motorized vehicles. According to the 2018 World Bank report, the number of vehicles on the roads will double in the next 30 years, reaching 2 billion units by 2050. If we extend the western per capita car ownership value to East Asian countries, we can expect the largest wave of motorization ever witnessed by the planet. For this reason, we have to imagine an unprecedented social, technological and economic shift that will fundamentally change the way people and products move.

Thanks to new technology and socio-economic components, we can imagine a systemic change that moves away from the current mobility model and can prevent the already problematic traffic condition from becoming even worse.

More specifically, the new vision will have to address, above all, the extended Shenzhen metropolitan and rural areas of the Guangdong since it is in these territories – characterized by weak and diffused demand – where most vehicle demand is expected for the lack of alternative transport options.

The proposal consists of two main components: the first one looks at the possibility of utilizing driverless technologies supported by A.I. systems, imagining a new generation of electric vehicles that will exploit the road network to become the backbone of a new mobility that will rapidly move away from fixed guided infrastructures. Traditional public transport has proven to be ineffective in low-density developments, as the low and spread demand does not support a frequent service that is also economically sustainable. To better adapt to this kind of environment, the new transport system should dynamically adapt to user demand, providing the flexibility and the coverage of a private vehicle, but by means of a collective and shared mode. Thanks to artificial intelligence, mobility as a service will provide optimized and tailored transportation services and at the same time algorithms will allow to optimize the service and eventually predicting or adapting to user needs in different contexts.

The second component looks at a new generation of vehicles as an opportunity to reconnect the passenger with the external environment rather than isolate him, as per traditional cars. By sensing both the user and the environment, the new generation of cars will enable contact between the user and the outside world, reconciling the passenger with other road users and the surrounding landscape.