BusViz: Big Data for Bus Fleets

Author:

Anwar Afian1,Odoni Amedeo2,Toh Nelson3

Affiliation:

1. Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, 32 Vassar Street, No. 32-376, Cambridge, MA 02139

2. Operations Research Center, Building E40-149, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139

3. Future Cities Laboratory, Department of Architecture, ETH Zurich, 8092 Zurich, Switzerland

Abstract

Transit agencies in major cities make hundreds of decisions every day on how to best allocate scarce resources. How adequate and reliable is service on a given bus route? When should capacity be added to a popular route? How should a bus route serve a neighborhood? Transit planners make decisions by using whatever information is available. This information includes ground surveys, public feedback, and a large element of experience and intuition. This paper presents BusViz, a web-based application that helps bus service operators and transit regulators to make better decisions by using large streams of field data to monitor and visualize the performance of bus fleets. The paper describes the system architecture and user interface of the application and illustrates how the Singapore Land Transport Authority is using it to iterate and evaluate ideas with data-driven rigor and to share quality of service statistics with various stakeholders.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Civil and Structural Engineering

Cited by 11 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. G2Viz: an online tool for visualizing and analyzing a public transit system from GTFS data;Public Transport;2024-05-08

2. Advent of Big Data in Urban Transportation for Smart Cities;Convergence of Big Data Technologies and Computational Intelligent Techniques;2022-09-16

3. Mobisuite: A User-Friendly Tool to Exploit E-Ticketing Data and Support Public Transport Planning;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2022

4. Role of Urban Big Data in Travel Behavior Research;Transportation Research Record: Journal of the Transportation Research Board;2020-12-07

5. The visual analytics of big, open public transport data – a framework and pipeline for monitoring system performance in Greater Sydney;Big Earth Data;2020-07-08

同舟云学术

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