Patterns in Chicago traffic

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.

Name thesis:degree_name

M.S.

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Industrial Engineering

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2018

Author dc:creator

• Ketkar, Akshay Hemant

Contributors dc:contributor

• Sowers, Richard B.

• Patterns
• Chicago taxi data

Statement dc:rights

• Copyright 2017 Akshay Hemant Ketkar

Language dc:language

en

Handle dc:identifier

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

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/99368