SCC-IRG Track 2: Making Micromobility Smarter and Safer (M2S2)

SCC-IRG 第 2 轨：让微交通变得更智能、更安全 (M2S2)

• 批准号: 1951890
• 负责人: Clinton Andrews
• 金额: $ 150万
• 依托单位: Rutgers University New Brunswick
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-10-01 至 2024-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1951890&HistoricalAwards=false
• 关键词: SCC; IRG; Track; Making; Micromobility

Urban transportation is experiencing rapid changes with the introduction of new micro-mobility options. These include shared e-scooters, sit-down scooters, e-bikes, and a range of other options. Within this mix of new modes, pedestrians face substantial and growing risks on American streets where road designs cater to drivers and automobiles dominate numerically. Over 6,000 pedestrians died on U.S. streets in 2018, an 14% increase over 2015 and a 27% increase over 2014. Human behavior, road design, environmental conditions, and technology each influence the prevalence of crashes and improving traffic safety for all users likely requires improvements along several of these dimensions. The rarity of pedestrian fatalities and those injuries associated with e-scooters makes disentangling the causal factors difficult. Hence, this project focuses on “near misses” between vehicles and pedestrians, e-scooters, e-bikes, and bicycles. The objectives of this project are to (a) use new methods to gather better data on what determines pedestrian and micro-mobility risk, (b) create tools that deliver more integrated solutions in collaboration with industry micro-mobility partner Bird, and (c) test the tools in the service of the needs of the real communities of New Brunswick and Highland Park, NJ. These tools will explicitly integrate both the social and technology solutions to improve safety. Project tasks include: (a) create an enhanced near miss detection capability using multiple visual sensors and advanced computer vision techniques; (b) perform behavioral experiments using both traditional tools (signage, temporary road reconfigurations) and smart-city tools (sensor-equipped and networked mobile actors and intersections); (c) conduct technological experiments integrated into a prototype mobile-phone-based app for pedestrians, e-scooters, e-bikes, and drivers; and (d) convene a community deliberation process that informs development of a local smart transportation plan. The intellectual merit of this proposed project resides, first, in the development of a test bed equipped to evaluate social, technological, and integrated risk-reduction strategies for vulnerable road users. One component is the refinement of computer vision algorithms to much more accurately detect pedestrians, e-scooters, e-bikes, vehicles; measure trajectories (direction, velocity); measure near misses (deceleration, proximity, avoidance behavior); and distinguish key user attributes (clothing brightness, gender, race, size). A related contribution is to use digital models of the built environment to improve the performance of the computer vision algorithms and allow spatially explicit tracking of different entities. The second major contribution is to acknowledge the sequencing and layering of social and technological strategies as part of an integrated risk reduction portfolio. Vulnerable elderly, children, and under-represented minority pedestrians and cyclists will benefit because they are currently at disproportionate risk. The project will involve undergraduate and graduate students in the research activities through multidisciplinary capstone design classes, the summer Rutgers' Aresty Undergraduate Research Program, and the summer RISE (Research in Science and Engineering) program which introduces outstanding minority students to graduate-level research through summer jobs with research groups.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

随着新的微型交通选项的引入，城市交通正在经历快速变化。其中包括共享电动滑板车、坐式滑板车、电动自行车和一系列其他选择。在这种新模式的组合中，行人在美国街道上面临着巨大且不断增加的风险，因为道路设计迎合了驾驶员，而汽车在数量上占主导地位。 2018 年，美国街道上有超过 6,000 名行人死亡，比 2015 年增加了 14%，比 2014 年增加了 27%。人类行为、道路设计、环境条件和技术都会影响碰撞事故的发生率，提高所有用户的交通安全可能需要在其中几个方面进行改进。由于行人死亡和与电动滑板车相关的伤害很少见，因此很难理清因果关系。因此，该项目重点关注车辆与行人、电动滑板车、电动自行车和自行车之间的“未遂事件”。该项目的目标是 (a) 使用新方法收集有关行人和微移动风险决定因素的更好数据，(b) 与行业微移动合作伙伴 Bird 合作创建可提供更集成解决方案的工具，以及 (c) 测试这些工具，以满足新泽西州新不伦瑞克和高地公园的实际社区需求。这些工具将明确整合社会和技术解决方案以提高安全性。 项目任务包括： (a) 使用多个视觉传感器和先进的计算机视觉技术创建增强的近距离检测能力； (b) 使用传统工具（标牌、临时道路重新配置）和智慧城市工具（配备传感器和联网的移动参与者和交叉路口）进行行为实验； (c) 为行人、电动滑板车、电动自行车和驾驶员进行集成到基于手机的原型应用程序中的技术实验； (d) 召开社区审议程序，为当地智能交通计划的制定提供信息。该拟议项目的智力价值首先在于开发一个测试平台，用于评估弱势道路使用者的社会、技术和综合风险降低策略。其中之一是改进计算机视觉算法，以更准确地检测行人、电动滑板车、电动自行车、车辆；测量轨迹（方向、速度）；测量未遂事件（减速、接近、回避行为）；并区分关键用户属性（服装亮度、性别、种族、尺寸）。一个相关的贡献是使用建筑环境的数字模型来提高计算机视觉算法的性能并允许对不同实体进行空间明确的跟踪。第二个主要贡献是承认社会和技术战略的排序和分层是综合风险降低组合的一部分。弱势老年人、儿童以及代表性不足的少数族裔行人和骑自行车者将受益，因为他们目前面临着不成比例的风险。该项目将通过多学科顶点设计课程、夏季罗格斯大学 Aresty 本科生研究计划和夏季 RISE（科学与工程研究）计划让本科生和研究生参与研究活动，该计划通过与研究小组的暑期工作向优秀少数族裔学生介绍研究生水平的研究。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响力进行评估，被认为值得支持。 审查标准。

项目成果

Data-Driven Fairness-Aware Vehicle Displacement for Large-Scale Electric Taxi Fleets

• DOI: 10.1109/icde51399.2021.00108
• 发表时间: 2021-04
• 期刊: 2021 IEEE 37th International Conference on Data Engineering (ICDE)
• 作者: Guang Wang;Shuxin Zhong;Shuai Wang;Fei Miao;Zheng Dong;Desheng Zhang

Joint Rebalancing and Charging for Shared Electric Micromobility Vehicles with Human-system Interaction

具有人系统交互的共享电动微移动车辆的联合再平衡和充电

• DOI: 10.1145/3576841.3589613
• 发表时间: 2023
• 期刊: ACM/IEEE 14th International Conference on Cyber-Physical Systems
• 作者: Tan, Heng;Yuan, Yukun;Zhong, Shuxin;Yang, Yu
• 通讯作者: Yang, Yu

MoCha: Large-Scale Driving Pattern Characterization for Usage-based Insurance

MoCha：基于使用的保险的大规模驾驶模式表征

• DOI: 10.1145/3447548.3467114
• 发表时间: 2021
• 期刊: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining
• 作者: Fang, Zhihan;Yang, Guang;Zhang, Dian;Xie, Xiaoyang;Wang, Guang;Yang, Yu;Zhang, Fan;Zhang, Desheng
• 通讯作者: Zhang, Desheng

Record: Joint Real-Time Repositioning and Charging for Electric Carsharing with Dynamic Deadlines

• DOI: 10.1145/3447548.3467112
• 发表时间: 2021-08
• 期刊: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining
• 作者: Guang Wang;Zhou Qin;Shuai Wang;Huijun Sun;Zheng Dong;Desheng Zhang

Scootin’ in the rain: Does weather affect micromobility?

雨中滑板车：天气会影响微移动性吗？

• DOI: 10.1016/j.tra.2021.05.003
• 发表时间: 2021
• 期刊: Transportation Research Part A: Policy and Practice
• 作者: Noland, Robert B.