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Simulation based evaluation of dynamic congestion pricing algorithms and strategies

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TypeOfResource
Text
TitleInfo (ID = T-1)
Title
Simulation based evaluation of dynamic congestion pricing algorithms and strategies
Identifier
ETD_2926
Identifier (type = hdl)
http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000056632
Language
LanguageTerm (authority = ISO639-2); (type = code)
eng
Genre (authority = marcgt)
theses
Subject (ID = SBJ-1); (authority = RUETD)
Topic
Civil and Environmental Engineering
Subject (ID = SBJ-2); (authority = ETD-LCSH)
Topic
Congestion pricing--New York (State)--New York--Evaluation
Subject (ID = SBJ-3); (authority = ETD-LCSH)
Topic
Congestion pricing--New Jersey--Evaluation
Subject (ID = SBJ-4); (authority = ETD-LCSH)
Topic
Traffic flow--New York (State)--New York--Evaluation
Subject (ID = SBJ-5); (authority = ETD-LCSH)
Topic
Traffic flow--New Jersey--Evaluation
Abstract (type = abstract)
Congestion pricing is defined as charging motorists during peak hours to encourage them to either switch their travel times or to use alternative routes. The theory behind road pricing suggests that, in order to reach social optimum conditions, a toll needs to be charged which is equal to the difference between social marginal costs and private average costs of users. In recent years, with the help of technological developments such as electronic toll collection system, pricing can be done dynamically, that is, tolls can be set in a real-time fashion according to the on-line measured traffic conditions. Dynamic pricing is only being used in High Occupancy Toll (HOT) lanes. However time-dependent pricing idea can be used in a network setting where drivers have to make route choices that are relatively more complex than the choices they make in the case of HOT lanes. This thesis proposes a simulation-based evaluation of dynamic congestion pricing on the crossings of New York City where many of the limited number of crossings to the island of Manhattan are tolled and function as parallel alternatives. One of the key aspects of this study is the estimation of realistic values of time (VOT) for different classes of users, namely, commuters and commercial vehicles. New York region-specific VOT for commercial vehicles is estimated using a logit model of stated preference data. Two different simulation studies are conducted. First simulation study is performed using the software TransModeler by considering the Manhattan network with a simple step-wise dynamic tolling algorithm and modeling the driver behavior by taking VOT into consideration. In the second simulation study, a tolling algorithm which is applicable to two tolled alternative crossings is developed. The algorithm includes real time toll rate calculation depending on travel times on crossings and models the driver behavior in response to toll rates and real-time measured travel time information on alternative routes. The algorithm is tested in traffic simulation software Paramics on a network including the two tunnels between New Jersey and New York City with a microscopic simulation of the traffic entering Manhattan.
PhysicalDescription
Form (authority = gmd)
electronic resource
Extent
xi, 141 p. : ill.
InternetMediaType
application/pdf
InternetMediaType
text/xml
Note (type = degree)
M.S.
Note (type = bibliography)
Includes bibliographical references
Note (type = statement of responsibility)
by Ender Faruk Morgul
Name (ID = NAME-1); (type = personal)
NamePart (type = family)
Morgul
NamePart (type = given)
Ender Faruk
NamePart (type = date)
1986-
Role
RoleTerm (authority = RULIB)
author
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Ender Faruk Morgul
Name (ID = NAME-2); (type = personal)
NamePart (type = family)
Ozbay
NamePart (type = given)
Kaan
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RoleTerm (authority = RULIB)
chair
Affiliation
Advisory Committee
DisplayForm
Kaan Ozbay
Name (ID = NAME-3); (type = personal)
NamePart (type = family)
Nassif
NamePart (type = given)
Hani
Role
RoleTerm (authority = RULIB)
internal member
Affiliation
Advisory Committee
DisplayForm
Hani Nassif
Name (ID = NAME-4); (type = personal)
NamePart (type = family)
Najm
NamePart (type = given)
Husam
Role
RoleTerm (authority = RULIB)
internal member
Affiliation
Advisory Committee
DisplayForm
Husam Najm
Name (ID = NAME-1); (type = corporate)
NamePart
Rutgers University
Role
RoleTerm (authority = RULIB)
degree grantor
Name (ID = NAME-2); (type = corporate)
NamePart
Graduate School - New Brunswick
Role
RoleTerm (authority = RULIB)
school
OriginInfo
DateCreated (qualifier = exact)
2010
DateOther (qualifier = exact); (type = degree)
2010-10
Place
PlaceTerm (type = code)
xx
RelatedItem (type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier (type = RULIB)
ETD
RelatedItem (type = host)
TitleInfo
Title
Graduate School - New Brunswick Electronic Theses and Dissertations
Identifier (type = local)
rucore19991600001
Location
PhysicalLocation (authority = marcorg); (displayLabel = Rutgers, The State University of New Jersey)
NjNbRU
Identifier (type = doi)
doi:10.7282/T3ZW1KM7
Genre (authority = ExL-Esploro)
ETD graduate
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Rights

RightsDeclaration (AUTHORITY = GS); (ID = rulibRdec0006)
The author owns the copyright to this work.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
RightsHolder (ID = PRH-1); (type = personal)
Name
FamilyName
Morgul
GivenName
Ender Faruk
Role
Copyright Holder
RightsEvent (ID = RE-1); (AUTHORITY = rulib)
Type
Permission or license
DateTime
2010-09-30 17:24:14
AssociatedEntity (ID = AE-1); (AUTHORITY = rulib)
Role
Copyright holder
Name
Ender Faruk Morgul
Affiliation
Rutgers University. Graduate School - New Brunswick
AssociatedObject (ID = AO-1); (AUTHORITY = rulib)
Type
License
Name
Author Agreement License
Detail
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
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Technical

ContentModel
ETD
MimeType (TYPE = file)
application/pdf
MimeType (TYPE = container)
application/x-tar
FileSize (UNIT = bytes)
3368960
Checksum (METHOD = SHA1)
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