EAGER: Autonomy-enabled Shared Vehicles for Mobility on Demand and Urban Logistics
EAGER:用于按需出行和城市物流的自主共享车辆
基本信息
- 批准号:1523401
- 负责人:
- 金额:$ 22.5万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2015
- 资助国家:美国
- 起止时间:2015-05-01 至 2016-10-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Three emerging technologies provide unique opportunities for denser cities throughout the developed world: vehicle sharing, electric vehicles, and autonomous systems. Bringing these technologies close together can help enable joint mobility-on-demand and urban-logistics services. This project focuses on the co-development of design and algorithms to enable new concepts that will serve this purpose. The Persuasive Electric Vehicle (PEV) is a tricycle navigating in the bike lanes. The PEV can autonomously drive itself to its next customer; it can also deliver packages to its customers who order goods online. On the algorithmic front, the project will investigate (i) provably-safe algorithms for autonomous navigation in bike lanes, and (ii) algorithms for high-performance routing and rebalancing for joint mobility on demand and urban logistics. On the design front, the project will investigate (i) the vehicle-level designs that can best embrace the relevant CPS technologies, and (ii) the system-level designs and urban planning practices that can help enable the PEV concept. The PIs will collaborate with the City of Boston and participate in the Global City Teams Challenge, where they will demonstrate the PEV concept and its potential impact on future smart cities.
三种新兴技术为发达国家人口密集的城市提供了独特的机会:汽车共享、电动汽车和自动驾驶系统。将这些技术紧密结合在一起可以帮助实现按需联合移动和城市物流服务。该项目的重点是设计和算法的共同开发,以实现新的概念,将服务于这一目的。有说服力的电动车(PEV)是一种在自行车道上行驶的三轮车。PEV可以自动驾驶到下一个客户;它还可以将包裹交付给在线订购商品的客户。在算法方面,该项目将研究(i)自行车道自主导航的可证明安全的算法,以及(ii)按需联合移动和城市物流的高性能路由和再平衡算法。在设计方面,该项目将调查(i)最能体现相关CPS技术的车辆级设计,以及(ii)有助于实现PEV概念的系统级设计和城市规划实践。PI将与波士顿市合作,参加全球城市团队挑战赛,展示PEV概念及其对未来智慧城市的潜在影响。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Sertac Karaman其他文献
Sertac Karaman的其他文献
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{{ truncateString('Sertac Karaman', 18)}}的其他基金
RTML: Large: Co-design of Hardware and Algorithms for Energy-efficient Robot Learning
RTML:大型:节能机器人学习的硬件和算法协同设计
- 批准号:
1937501 - 财政年份:2019
- 资助金额:
$ 22.5万 - 项目类别:
Standard Grant
CPS: Medium: LEAR-CPS: Low-Energy computing for Autonomous mobile Robotic CPS via Co-Design of Algorithms and Integrated Circuits
CPS:中:LEAR-CPS:通过算法和集成电路的协同设计实现自主移动机器人 CPS 的低能耗计算
- 批准号:
1837212 - 财政年份:2018
- 资助金额:
$ 22.5万 - 项目类别:
Standard Grant
CPS: Synergy: Collaborative Research: Design and Control of High-performance Provably-safe Autonomy-enabled Dynamic Transportation Networks
CPS:协同:协作研究:高性能、可证明安全、支持自主的动态运输网络的设计和控制
- 批准号:
1544413 - 财政年份:2015
- 资助金额:
$ 22.5万 - 项目类别:
Standard Grant
CAREER: Practical Algorithms and Fundamental Limits for Complex Cyber-Physical Systems
职业:复杂网络物理系统的实用算法和基本限制
- 批准号:
1350685 - 财政年份:2014
- 资助金额:
$ 22.5万 - 项目类别:
Continuing Grant
EAGER: Compact Roadmaps for Planning Under Uncertainty
EAGER:不确定性下规划的紧凑路线图
- 批准号:
1452019 - 财政年份:2014
- 资助金额:
$ 22.5万 - 项目类别:
Standard Grant
NSF Early Career Workshop on Exploring New Frontiers in Cyber-Physical Systems
NSF 探索网络物理系统新领域的早期职业研讨会
- 批准号:
1445299 - 财政年份:2014
- 资助金额:
$ 22.5万 - 项目类别:
Standard Grant
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