Passively generated big data for micro-mobility: State-of-the-art and future research directions
Author:
Publisher
Elsevier BV
Subject
General Environmental Science,Transportation,Civil and Structural Engineering
Reference177 articles.
1. Abdellaoui Alaoui, E.A. and Koumetio Tekouabou, S.C. 2021. Intelligent management of bike sharing in smart cities using machine learning and Internet of Things. Sustainable Cities and Society 67(November 2020), p. 102702. Available at: Doi: 10.1016/j.scs.2020.102702.
2. Abduljabbar, R.L. et al. 2021. The role of micro-mobility in shaping sustainable cities: A systematic literature review. Transportation Research Part D: Transport and Environment 92(February). Available at: Doi: 10.1016/j.trd.2021.102734.
3. Anda, C. et al. 2017. Transport modelling in the age of big data. International Journal of Urban Sciences 21, pp. 19–42. Available at: Doi: 10.1080/12265934.2017.1281150.
4. Modeling bike availability in a bike-sharing system using machine learning;Ashqar,2017
5. Vehicle sharing systems : A review and a holistic management framework;Ataç;EURO Journal on Transportation and Logistics,2021
Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. A hybrid Machine learning and statistical modeling approach for analyzing the crash severity of mobility scooter users considering temporal instability;Accident Analysis & Prevention;2024-10
2. Kategoria bezpieczeństwa mikro-mobilności w zrównoważonych miastach;Olsztyn Economic Journal;2024-06-30
3. Data-driven Energy Consumption Modelling for Electric Micromobility using an Open Dataset;2024 IEEE Transportation Electrification Conference and Expo (ITEC);2024-06-19
4. A Multiscale Framework for Capturing Oscillation Dynamics of Autonomous Vehicles in Data-Driven Car-Following Models;IEEE Transactions on Intelligent Transportation Systems;2024
5. Revolutionizing Mobility: Big Data Applications in Transport Planning;WSEAS TRANSACTIONS ON ENVIRONMENT AND DEVELOPMENT;2023-12-31
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3