Headway control schemes to resist bus bunching

Bus bunching occurs when two or more buses travel head to tail. It is an annoying problem in public transportation because it increases passengers' average waiting time and traveling time, wastes bus capacity, reduces the frequency of bus service and increases the pressure on bus drivers. So el...

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Bibliographic Details
Main Author: Ding, Zhihao
Other Authors: Bartholdi, John J., III
Format: Others
Language:en_US
Published: Georgia Institute of Technology 2016
Subjects:
Online Access:http://hdl.handle.net/1853/54957
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spelling ndltd-GATECH-oai-smartech.gatech.edu-1853-549572016-07-10T03:34:12ZHeadway control schemes to resist bus bunchingDing, ZhihaoBus bunchingSelf-organizing systemBus bunching occurs when two or more buses travel head to tail. It is an annoying problem in public transportation because it increases passengers' average waiting time and traveling time, wastes bus capacity, reduces the frequency of bus service and increases the pressure on bus drivers. So eliminating bus bunching is important in public transportation. Eliminating bus bunching is highly challenging due to the complexity and variability of the bus dynamics. Bus bunching results from a positive feedback mechanism of headway evolution, which is a flaw born with the bus system. In this thesis, we quantify the intensity of the tendency to bus bunching and propose a headway control modeling framework to reverse tendency. Our framework subsumes many headway control schemes to coordinate buses and so enables batch analysis. Given different headway information, our framework produces different control schemes under which headways self-equalize. The stability of the bus system under control is characterized by a single measure and it can be optimized. Besides, the bus system under control is robust against traffic conditions and the level of ridership. The framework is based on a snapshot model capturing the bus dynamics including the tendency to bunch by taking traffic conditions and the level of ridership into account. It is linear and time-invariant, which makes the bus dynamics tractable. This model considers a single control point and constant bus velocity in a deterministic manner, but it can be extended to handle many control points, inhomogeneous velocity along the route, and randomness. Using our framework, we further study two simple control schemes---Threshold control and ``Prefol". Threshold control drives headways to self-equalize the fastest but the corresponding bus system needs large slack time for robustness. "Prefol" needs small slack time but headways self-equalize slower. We hybridize them and find the hybrid control scheme balances robustness and fast headway equalization. We also show that it outperforms several state-of-the-art control schemes in tests on a simulated bus route in Chicago.Georgia Institute of TechnologyBartholdi, John J., III2016-05-27T13:12:18Z2016-05-27T13:12:18Z2016-052016-02-29May 20162016-05-27T13:12:18ZDissertationapplication/pdfhttp://hdl.handle.net/1853/54957en_US
collection NDLTD
language en_US
format Others
sources NDLTD
topic Bus bunching
Self-organizing system
spellingShingle Bus bunching
Self-organizing system
Ding, Zhihao
Headway control schemes to resist bus bunching
description Bus bunching occurs when two or more buses travel head to tail. It is an annoying problem in public transportation because it increases passengers' average waiting time and traveling time, wastes bus capacity, reduces the frequency of bus service and increases the pressure on bus drivers. So eliminating bus bunching is important in public transportation. Eliminating bus bunching is highly challenging due to the complexity and variability of the bus dynamics. Bus bunching results from a positive feedback mechanism of headway evolution, which is a flaw born with the bus system. In this thesis, we quantify the intensity of the tendency to bus bunching and propose a headway control modeling framework to reverse tendency. Our framework subsumes many headway control schemes to coordinate buses and so enables batch analysis. Given different headway information, our framework produces different control schemes under which headways self-equalize. The stability of the bus system under control is characterized by a single measure and it can be optimized. Besides, the bus system under control is robust against traffic conditions and the level of ridership. The framework is based on a snapshot model capturing the bus dynamics including the tendency to bunch by taking traffic conditions and the level of ridership into account. It is linear and time-invariant, which makes the bus dynamics tractable. This model considers a single control point and constant bus velocity in a deterministic manner, but it can be extended to handle many control points, inhomogeneous velocity along the route, and randomness. Using our framework, we further study two simple control schemes---Threshold control and ``Prefol". Threshold control drives headways to self-equalize the fastest but the corresponding bus system needs large slack time for robustness. "Prefol" needs small slack time but headways self-equalize slower. We hybridize them and find the hybrid control scheme balances robustness and fast headway equalization. We also show that it outperforms several state-of-the-art control schemes in tests on a simulated bus route in Chicago.
author2 Bartholdi, John J., III
author_facet Bartholdi, John J., III
Ding, Zhihao
author Ding, Zhihao
author_sort Ding, Zhihao
title Headway control schemes to resist bus bunching
title_short Headway control schemes to resist bus bunching
title_full Headway control schemes to resist bus bunching
title_fullStr Headway control schemes to resist bus bunching
title_full_unstemmed Headway control schemes to resist bus bunching
title_sort headway control schemes to resist bus bunching
publisher Georgia Institute of Technology
publishDate 2016
url http://hdl.handle.net/1853/54957
work_keys_str_mv AT dingzhihao headwaycontrolschemestoresistbusbunching
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