Towards Social Intelligence in Smart Mobility Systems: Technologies, Methods, and Applications

智能移动系统中的社交智能：技术、方法和应用

• 批准号: RGPIN-2020-04492
• 负责人: Farooq, Bilal
• 金额: $ 4.52万
• 依托单位: Ryerson University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2021
• 资助国家: 加拿大
• 起止时间: 2021-01-01 至 2022-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=739990
• 关键词: Towards; Social; Intelligence; Smart; Mobility

In the past few years, great strides have been made in transforming transportation systems from a physical to a highly intelligent cyberphysical systems. A combination of intelligent software and hardware has brought high levels of connectivity and automation to transportation systems. These developments have the potential to address key existing issues e.g. congestion, safety, on-demand service, and first/last mile problems, as well as introducing new mobility services that will transform our mobility experience and patterns. We already see various examples, including a) the robotaxi service offered by Waymo in Arizona and California b) on-demand bus ride-hailing service provided by Pantonium in Belleville or c) dynamic, user-oriented routing offered by Waze. The focus so far has been on the technologies and services development and immediate physical safety aspects. However, essential issues like human-technology interactions, acceptance level, sustainability, cybersecurity, and privacy preservation remain open. This has resulted in various recent missteps e.g. in July 2019, in Vienna an autonomous shuttle driving at 12km/h struck a pedestrian. As a result, the full trial was suspended. Despite the high quality of living promised by Sidewalk labs Quayside project in Toronto, there is a significant level of negative sentiment about their connected and automated neighbourhood. To address these challenges, there is a strong need to make smart mobility technologies and services socially intelligent and trustable i.e. equip them with the understanding of how to react to different social situations when interacting with humans and effectively modify their interactions based on the context and individual behaviour. The aim of this program is to develop deep social intelligence in smart mobility technologies e.g. automated vehicle (AV), delivery robots, and drones as well as services e.g. shared on-demand mobility, where the connectivity and automation are at core. In this context four dimensions will be explored: (1) detailed experiments using realistic virtual immersive reality environment for capturing human behaviour (2) enhancing social intelligence in automation using the observed behaviour (3) evaluating social intelligence in smart mobility technologies and (4) privacy and cybersecurity by design in smart mobility technologies and services. This research program will train 2 PhD, 3 MASc, and 5 undergraduate students, who will be able to join the industry and academia with cutting edge skill sets. Strong emphasis will be given to the principles of equity, diversity, and inclusion. The program will help Canada better prepare for the connectivity and automation, become a leader in the adoption of smart mobility, and create high tech economic activity.

在过去的几年里，交通系统从物理系统向高度智能的网络物理系统的转变取得了巨大进步。智能软件和硬件的结合为交通系统带来了高水平的连接性和自动化。这些发展有可能解决现有的关键问题，例如拥堵、安全、按需服务和第一英里/最后一英里问题，以及引入将改变我们的出行体验和模式的新出行服务。我们已经看到了各种例子，包括a）Waymo在亚利桑那州和加利福尼亚州提供的机器人出租车服务b）Pantonia在贝尔维尔提供的按需巴士乘车服务或c）Waze提供的动态的、面向用户的路线。迄今为止的重点是技术和服务开发以及直接的人身安全方面。然而，人机交互、接受程度、可持续性、网络安全和隐私保护等基本问题仍然悬而未决。这导致了最近的各种失误，例如2019 年 7 月，在维也纳，一辆以 12 公里/小时的速度行驶的自动驾驶班车撞到了一名行人。结果，整个审判被暂停。尽管多伦多 Sidewalk Labs Quayside 项目承诺提供高质量的生活，但人们对其互联和自动化的社区仍存在相当程度的负面情绪。 为了应对这些挑战，迫切需要使智能移动技术和服务具有社会智能性和可信赖性，即让它们了解在与人类互动时如何对不同的社会情境做出反应，并根据环境和个人有效地修改他们的互动行为。该计划的目的是开发智能移动技术中的深层社交智能，例如自动车辆 (AV)、送货机器人、无人机以及服务，例如：共享的按需移动性，其中连接性和自动化是核心。在这种情况下，将探讨四个维度：（1）使用逼真的虚拟沉浸式现实环境捕获人类行为的详细实验（2）使用观察到的行为增强自动化中的社交智能（3）评估智能移动技术中的社交智能以及（4）智能移动技术和服务中设计的隐私和网络安全。该研究项目将培养 2 名博士生、3 名硕士生和 5 名本科生，他们将能够以尖端技能加入行业和学术界。将重点强调公平、多样性和包容性的原则。该计划将帮助加拿大更好地为互联和自动化做好准备，成为采用智能移动的领导者，并创造高科技经济活动。