Patterns in Chicago traffic

Ketkar, Akshay Hemant

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https://hdl.handle.net/2142/99368 Copy

Description

Title

Patterns in Chicago traffic

Author(s)

Ketkar, Akshay Hemant

Issue Date

2017-12-06

Director of Research (if dissertation) or Advisor (if thesis)

Sowers, Richard B.

Department of Study

Industrial&Enterprise Sys Eng

Discipline

Industrial Engineering

Degree Granting Institution

University of Illinois at Urbana-Champaign

Degree Name

M.S.

Degree Level

Thesis

Date of Ingest

2018-03-13T15:48:55Z

Keyword(s)

• Patterns
• Chicago taxi data

Abstract

This thesis analyzes the taxi data released by the City of Chicago as announced on November 16, 2016 on [1]. The main objective of this thesis is to infer traffic trends in the city of Chicago through Time Series Analysis of taxi trips by observing the trends and general statistics of the hourly and daily variations in taxi trips in terms of mean trip counts and mean speeds. We also observe the hourly and daily taxi trip trends with respect to Chicago airports: O’Hare and Midway, in terms of the overall mean times to airports and mean times from major community areas, mean trip trends to and from airports, and pickup and drop-off statistics for major community areas. We also aim to study the impact of certain events on the traffic trends in the period of the dataset such as Christmas, Thanksgiving, New Year’s Day and the Historic Snow Storm that occurred in the region from January 31, 2015 to February 2, 2015 [33]. In the end, we also introduce the Taxisim library [36], which contains algorithms for traffic estimation. This is introduced as a prototype method and is to be treated as a future assignment.

Graduation Semester

2017-12

Type of Resource

text

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http://hdl.handle.net/2142/99368

Copyright and License Information

Copyright 2017 Akshay Hemant Ketkar

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