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Title: VIBRATIONAL CONTROL OF AN EXOTHERMIC CSTR - PRODUCTIVITY IMPROVEMENT BY MULTIPLE INPUT OSCILLATIONS
Creator: Shu, X. S., Rigopoulos, K., Cinar, A.
Date: 1989-02
Publisher: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Description: A. Cinar et al. (1987) have shown that vibrational control of an exothermic continuous stirred tank reactor (CSTR) by vibrating the total flow...
Show moreA. Cinar et al. (1987) have shown that vibrational control of an exothermic continuous stirred tank reactor (CSTR) by vibrating the total flow rate modifies its behavior and leads to stabilized operation in its unstable steady-state region. Here, the effect of multiple vibrating inputs and the contribution of their phase shift are investigated. Theoretical and experimental results indicate productivity improvement and amplitude reduction in reactor temperature swings by vibrating both input flow rate and input concentrations.
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Title: Automated control of high temperature short time pasteurization
Creator: Negiz, A., Cinar, A., Schlesser, J. E., Ramanauskas, P., Armstrong, D. J., Stroup, W.
Date: 1996-12
Publisher: ELSEVIER SCI LTD
Description: Cascade and multivariable control of a high temperature shot? time (HTST) pasteurization system were tested and compared with the performance...
Show moreCascade and multivariable control of a high temperature shot? time (HTST) pasteurization system were tested and compared with the performance of single-loop feedback control. Multivariable control was implemented on the basis of computations of product temperatures that yield equivalent lethality at a residence time of 15 s at 161 degrees F in the holding tube. Both cascade and multivariable controllers reduced product temperature fluctuations and overshoot compared to single-loop feedback control. Multivariable control was based on on-line computation of equivalent total lethality and it permitted operation at variable flow rates or at the most desirable temperatures for product quality and functionality. Copyright (C) 1996 Elsevier Science Ltd.
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Title: Some experiments on heat transmission
Creator: Ruef, J. E.
Date: 2009, 1912
Publisher: Armour Institute of Technology
Description: http://www.archive.org/details/someexperimentso00ruef
Thesis (B.S.)--Armour Institute of Technology

Title: The synchronous motor
Creator: Sleezer, Frank W., Williams, Wallace, Kelkenney, Artemas A.
Date: 2009, 1907
Publisher: Armour Institute of Technology
Description: http://www.archive.org/details/synchronousmotor00slee
Thesis (B.S.)--Armour Institute of Technology; Bibliography: leaves 35-37

Title: Hostile Spaces and Hostel Spaces: Re-Visioning Highway Infrastructure
Creator: Smith, Kevin
Date: 2010-07-30

Title: Polarised Drell-Yan physics at COMPASS, Proceedings of the XLIII International Symposium on Multiparticle Dynamics
Creator: Franco, Celso
Date: 2013-09-15, 2013-09-15
Publisher: IIT Press
Description: The COMPASS experiment at CERN is one of the leading experiments studying the spin structure of the nucleon. Until now, the Parton...
Show moreThe COMPASS experiment at CERN is one of the leading experiments studying the spin structure of the nucleon. Until now, the Parton Distribution Functions (PDFs) and the Transverse Momentum Dependent Parton Distribution Functions (TMD PDFs) of protons and deuterons have been studied in Semi-Inclusive Deep Inelastic Scattering (SIDIS) measurements. The polarised Drell-Yan (DY) process is a complementary way to access the TMD PDFs, as it allows us to measure convolutions of only PDFs without involving fragmentation functions (FFs). COMPASS aims to perform the first ever polarised DY experiment in the world, which is foreseen to start in late 2014. By detecting dimuons from DY events we will be able to extract azimuthal spin asymmetries, each containing a convolution of two TMD PDFs, one from a negative pion beam with a momentum of 190 GeV/c and the other one from a transversely polarised proton target (NH₃). After their disentangling we can access four of the eight TMD PDFs needed to describe the nucleon structure at leading twist, like the Sivers and the Boer-Mulders functions. The opportunity to study, in the same experiment, the TMD PDFs from both SIDIS and DY processes is unique at COMPASS. Therefore, we are in privileged conditions to confirm or to deny the expected sign change in Sivers and Boer-Mulders functions when accessed via DY or SIDIS processes. An overview of the preparation and future measurements of the polarised DY experiment will be provided.
Sponsorship: IIT College of Science, High Energy Physics Division of Argonne National Laboratory
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Title: POLYMER ELECTROLYTE MEMBRANES FOR ELECTROCHEMICAL ENERGY CONVERSION AND STORAGE SYSTEMS: FUEL CELLS AND REDOX FLOW BATTERIES
Creator: Yun, Sukhwan
Date: 2014, 2014-12
Description: Direct methanol fuel cells (DMFCs) and redox flow batteries (RFBs) are well-known electrochemical energy conversion/storage systems that...
Show moreDirect methanol fuel cells (DMFCs) and redox flow batteries (RFBs) are well-known electrochemical energy conversion/storage systems that utilize redox reactions to convert or store electricity. Ion exchange membranes (IEMs) are used in DMFCs and RFBs as electrolyte separators. The critical requirements for IEMs in these applications are high ionic conductivity, low electrolyte permeability, high stability, and low cost. Silsesquioxane (SQO)-based sulfonated poly(etheretherketone) composite membranes were synthesized. Morphological changes in the composite membranes resulting from the introduction of SQO were studied using small-angle x-ray scattering. A sharp decrease in proton conductivity with SQO loading (> 20 wt%) was attributed to morphological changes in the membrane, including agglomeration and inhomogeneous dispersion of SQO particles within the ionic domains. Anion exchange membranes (AEMs) based on quaternized cardo-poly(etherketone) (QPEK-C) were prepared and evaluated for all-vanadium RFB (VRFB) applications. The QPEK-C AEMs with different degrees of functionalization (0.9–1.6) exhibited sulfate ion conductivities ranging between 5.6 and 15.2 mS cm-1 at 30 oC. The AEM had a lower VO2+ permeability (2.8×10-8 cm2 s-), compared to that of Nafion® 212 (2.9±0.2 ×10-7 cm2 s-1), which was attributed to the Donnan exclusion effect. The mechanical strength of QPEK-C AEM degraded by 35% after exposure to a 1.5 M VO2+ solution for 1500 hours due to the oxidation of aromatic rings. A single-cell VRFB employing the AEM separator yielded current and energy efficiencies (at 30 mA cm-2) of 97-99% and 80-82 %, respectively. Enhanced sulfate ion conductivity (8.4 ± 0.2 mS cm-1) and decreased VO2+ permeability (0.53×10-9 cm2 s-1) were achieved by incorporating 20 wt% of n-(trimethoxysilylpropyl)-n,n,n-trimethylammonium additives into QPEK-C, (the pristine QPEK-C AEM yielded corresponding values of 4.5 ± 0.5 mS cm-1 and 1.09×10-9 cm2 s-1). About 99% coulombic efficiency was achieved with the VRFBs employing the composite AEM. However, a rapid reduction of the ionic conductivity down to the value of the pristine membrane was observed when the composite AEM was immersed in 1.5 M VO2+ solution for 3 days. Vanadium-cerium RFBs (V-Ce RFBs) evaluated with QPEK-C AEM separators yielded identical energy efficiency (84%) to corresponding RFBs evaluated with Nafion® 212. However, after over 20 charge-discharge cycles, the V-Ce RFB with the AEM separator yielded unchanged efficiency and capacity, while a 50% loss of capacity was observed with the Nafion® separator. This suggested that QPEK-C AEMs are promising candidates for RFB separators when different cations are used in the two electrolyte solutions, in that they act as efficient barriers that preclude the intermixing of the cations due to the Donnan exclusion effect.
Ph.D. in Chemical Engineering, December 2014
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Title: Test and report of a modern ice plant
Creator: Heim, Karl, Fitch, Joseph E, Jones, Charles H, Hirschfeld, George
Date: 2009, 1909
Publisher: Armour Institute of Technology
Description: http://www.archive.org/details/testreportofmode00heim
Thesis (B.S.)--Armour Institute of Technology

Title: THERMAL STABILITY OF FOOD ALLERGENS AND NONALLERGENIC PROTEINS: A COMPARATIVE STUDY
Creator: Wu, Yan
Date: 2015, 2015-07
Description: Thermal stability has been proposed as a criterion to assess the allergenic potential of genetically modified foods, but there is a lack of...
Show moreThermal stability has been proposed as a criterion to assess the allergenic potential of genetically modified foods, but there is a lack of information on the relative thermal stability of food allergens vs. nonallergenic proteins. This study compared the thermal stability of several paired food allergens and nonallergenic proteins by measuring the changes in their solubility, antigenicity and thermodynamic properties after thermal treatment using BCA total protein assay, inhibition ELISA assay, Differential Scanning Calorimetry and Far-UV Circular Dichroism Spectroscopy. The selected protein pairs included bovine α-lactalbumin (allergen) vs. human α-lactalbumin (nonallergen), peanut lectin (allergen) vs. concanavalin A (nonallergen), soybean trypsin inhibitor (allergen) vs. lima bean trypsin inhibitor (nonallergen). With respect to protein solubility, a greater thermal stability was observed for: (1) bovine α-lactalbumin (bovine ALA) when it was autoclaved in water compared with human α-lactalbumin (human ALA) (2) peanut lectin when it was boiled or autoclaved in water compared with concanavalin A (ConA) and (3) soybean trypsin inhibitor (STI) when it was boiled in water or PBS, or autoclaved in water compared with lima bean trypsin inhibitor (LTI). Regarding TM values determined by DSC: (1) bovine ALA was more thermally stable than human ALA under both dry-heat treatment and moist-heat treatment (2) ConA was more thermally stable than peanut lectin during moist-heat treatment, while a greater thermal stability was observed for peanut lectin when the protein was under dry-heat treatment (3) LTI was more thermally stable than STI during heating in water or under dry-heat treatment, while a greater thermal stability was observed for STI when the protein was heated in PBS. Based on CD analyses, (1) bovine ALA was more thermally stable than human ALA (2) peanut lectin was more thermally stable than ConA (3) STI and LTI showed similar thermal stability. With respect to antigenicity, a greater thermal stability was observed for: (1) human ALA when it was autoclaved in water compared with bovine ALA (2) ConA when it was boiled or autoclaved in water, or under dry-heat treatment at 176℃ compared with peanut lectin (3) STI when it was autoclaved in PBS compared with LTI. In summary, allergens tended to be more thermally stable than nonallergenic proteins with respect to solubility, but there was no consistent trend in the relative thermal stability of these protein pairs regarding the antigenicity or the TM values. No correlation between thermal stability of the proteins and their allergenic potential was observed.ConA (3) STI and LTI showed similar thermal stability. With respect to antigenicity, a greater thermal stability was observed for: (1) human ALA when it was autoclaved in water compared with bovine ALA (2) ConA when it was boiled or autoclaved in water, or under dry-heat treatment at 176℃ compared with peanut lectin (3) STI when it was autoclaved in PBS compared with LTI. In summary, allergens tended to be more thermally stable than nonallergenic proteins with respect to solubility, but there was no consistent trend in the relative thermal stability of these protein pairs regarding the antigenicity or the TM values. No correlation between thermal stability of the proteins and their allergenic potential was observed.
M.S. in Food Safety and Technology, July 2015
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Title: DEVELOPMENT OF AN EMBEDDED CONTROLLER FOR TWO QUADRANT OPERATION OF BLDC MOTORS IN AUTOMOTIVE APPLICATIONS
Creator: Liu, Yizhe
Date: 2011-07-06, 2011-07
Description: Due to growing concerns over the availability of non-renewable petroleum products and the increasing emphasis on protecting our environment...
Show moreDue to growing concerns over the availability of non-renewable petroleum products and the increasing emphasis on protecting our environment from green house gas emissions, plug-in hybrid electric vehicle and hybrid electric vehicles have been gaining increasing popularity over recent years. This has led to the design of advanced drive systems using different electric motors such as BLDC, PMSM, IM and SRM. An electric motor/generator requires controller that not only has a strong I/O control function, but also high speed signal processing ability for realizing real time control. Therefore, a DSP (Digital Signal Processors), which integrates flexible multiple PWM signal generator, high speed high precision ADC and encoder interface for motor speed and position feedback, is considered as one of the strongest controllers for electric motor control. Owing to a growing emphasis on identification, interference, and communication of security services of drive train in intelligent PHEVs and HEVs, a DSP can also be used to identify and isolate security issues in the integrity of the drive train in PHEVs and EVs. This thesis has two main contributions: a) it focuses on the development of an embedded controller using TMS320LF2812 DSP to realize two quadrant control of the BLDC; and b) it develops an automotive test bench to identify and investigate some potential security issues using the embedded controller’s eCAN communication function.
M.S. in Electrical Engineering, May 2011
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Title: FORCED PERIODIC OPERATION OF TUBULAR REACTORS
Creator: Ozgulsen, F., Cinar, A.
Date: 1994-10
Publisher: PERGAMON-ELSEVIER SCIENCE LTD
Description: Forced periodic operation of tubular reactors can increase conversion and yield if proper operating conditions and forcing policies are...
Show moreForced periodic operation of tubular reactors can increase conversion and yield if proper operating conditions and forcing policies are selected. A numerical approach is proposed for computing the effects of periodic input forcing by a shooting algorithm. Such computational tools permit the assessment of the benefits of forced periodic operation of a specific reactor system and the identification of the ranges of operating conditions where forced periodic operation is beneficial. This information provides valuable insight for planning detailed experimental studies. Determining the influential input variables and bracketing the ranges of the operating conditions for improving reactor performance will reduce significantly the experiments needed for selecting the most favorable reactor operation policies. The application of the numerical algorithm is illustrated by assessing the benefits of forced periodic operation to a CO oxidation reactor model. The results reveal substantial improvement in performance with slow cycling in feed concentration.
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Title: STATISTICAL METHODS FOR LARGE-SCALE TRANSPORTATION NETWORK TRAFFIC VOLUME FORECASTING
Creator: Meng, Xiao
Date: 2012-11-27, 2012-12
Description: Forecasting is the procedure of making declarations about future events whose actual outcomes have not yet been observed. A lot of decisions...
Show moreForecasting is the procedure of making declarations about future events whose actual outcomes have not yet been observed. A lot of decisions are made based on predictions of future unknown events. Knowing the essence of forecasting, it is not hard to interpret what traffic volume forecasting is. Traffic volume forecasting is the process of estimating the number of vehicles that will be on a planned highway in the future. It plays important roles in different aspects of transportation and related field, such as highway level of service analysis, measure of effectiveness, highway improvement and expansion, geometric design and air quality analysis, etc. A good forecast is needed for decision making in future land use and transportation planning. City and county planners can provide useful information about land use planning and projected developments. County engineers may provide information about future county projects that may cause detours and changes in traffic patterns along a trunk highway. Highway designers need forecasted traffic volumes to ensure proper geometric designs. Since short term forecasting has been a hot topic on research, many statistical methods have been used, such as the mean, historical moving average, exponential smoothing, and autoregressive integrated moving average. Among them, Box Jenkins method (Autoregressive Integrated Moving Average) has been found as the best model on forecasting of time series data with seasonality and trend.
M.S. in Civil Engineering, December 2012
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Title: DYNAMIC SIMULATION AND LOAD MODELING FOR VOLTAGE RECOVERY STUDIES WITH THREE-PHASE AND SINGLE-PHASE INDUCTION MOTORS
Creator: Zhang, Jingpei
Date: 2017, 2017-05
Description: Transient stability topics have been popular in modern power systems and time domain simulation provides an efficient evaluation for...
Show moreTransient stability topics have been popular in modern power systems and time domain simulation provides an efficient evaluation for correlative studies. So far, we have been working on developing advanced time-domain simulator TS3ph, which implements simulation on electromechanical level but with three-phase completed network model to enable unbalanced modeling and simulation. In this paper, modeling and development work of TS3ph are being introduced. Positive-sequence equivalent and three-phase based models, including static var compensator, governor and three-phase induction motor models, are built and validated to evaluate their dynamic behaviors in transient state. Moreover, research work on single phase induction motor model development, including important motor behaviors such as motor stalling, is also introduced in this paper for voltage collapse and recovery study. This is indeed the first time to apply such model on electromechanical simulator as well.
M.S. in Electrical Engineering, May 2017
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Title: TEMPERATURE PROFILES THROUGH THE SHELL IN EGGS HEATED BY INFRARED ENERGY
Creator: Guo, Jingxin
Date: 2012-07-30, 2012-07
Description: Infrared heating is an effective method for surface pasteurization of shell eggs. As the external temperature reaches the inactivation...
Show moreInfrared heating is an effective method for surface pasteurization of shell eggs. As the external temperature reaches the inactivation temperature, internal temperatures could become great enough to denature albumen. However, the internal temperature of albumen at the shell cannot be measured directly. The purpose of this study is to use experimental data to understand the response of the albumen temperature at the shell to infrared radiation impinging at its outer surface. Fresh eggs were obtained from a local producer and refrigerated until needed. They were prepared for each experiment by overnight equilibration with ambient conditions. Each egg was placed on a metal stage over which an infrared lamp was positioned. The stage allowed a K-type thermocouple to be inserted through a small hole in the shell opposite of the shell area facing the lamp. The thermocouple was pushed into the egg such that the tip was against the inner surface of the shell just underneath the exposed area. The external temperature of this area was measured by an infrared pyrometer. Variables for these experiments were temperature of the IR lamp (277°C, 329°C, 391°C and 452°C), distance between shell egg and IR lamp (3.13 cm – 15.83 cm), and treatment time. All experiments share the same initial lag around 30s, suggested that the initial lag did not vary with changing of lamp-egg distances and lamp temperatures. After the initial lag, internal and external temperatures were found to increase at the same rate regardless of experimental parameters, indicating and equilibrium between the infrared energy impinging on the surface and its dissipation in the interior of the egg. The difference of temperature distributes between 10°C to 20°C. However, lowering lamp temperatures or increasing distances did not change this difference significantly. Moreover, the temperature gap sustains the same temperature after initial lag. The results showed that the internal temperature could be inferred via measuring external temperature. This is valuable in processing to maximize external surface temperature while protecting heat sensitive albumen. Future work will involve modeling the heating phenomenon to determine if knowing only the lamp temperature and distance is sufficient for predicting internal temperature.
M.S. in Food Processing Engineering, July 2012
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Title: Measurement of anisotropic radial flow rapidity, Proceedings of the XLIII International Symposium on Multiparticle Dynamics
Creator: Wu, Yuafang, Li, Lin, Li, Na
Date: 2013-09-15, 2013-09-15
Publisher: IIT Press
Description: Using the sample of Au + Au collisions at 200 GeV generated by the AMPT with string melting model, the anisotropic amplitudes of azimuthal...
Show moreUsing the sample of Au + Au collisions at 200 GeV generated by the AMPT with string melting model, the anisotropic amplitudes of azimuthal distributions of total transverse momentum, mean radial (transverse) momentum, and multiplicity are first presented and compared. It shows that the azimuthal distribution of mean radial momentum well characterizes the radial expansion. So a measurement of the azimuthal distribution of mean transverse (radial) rapidity of final state particles is suggested. We further show that the isotropic part of the suggested distribution is the combination of isotropic radial expansion and thermal motion. The anisotropic amplitude characterizes the anisotropic radial flow, and coincides with the parameter of anisotropic radial flow rapidity extracted from a generalized blast-wave parametrization.
Sponsorship: IIT College of Science, High Energy Physics Division of Argonne National Laboratory
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Title: Learning Company, Literacy Center, Johannesburg, South Africa
Creator: Gray, Aisling
Date: 2010-07-29

Title: BICYCLE CRASH ANALYSIS IN CHICAGO
Creator: Van Nortwick, Taylor Wade
Date: 2013, 2013-07
Description: The United States is making big plans for improvements in bicycle infrastructure. To best understand if the improvements will be successful in...
Show moreThe United States is making big plans for improvements in bicycle infrastructure. To best understand if the improvements will be successful in creating a safe network, a study was done to determine contributing factors in bicycle crashes. Bicycle and motor vehicle crash data from around Chicago between 2005 and 2011 was analyzed for significant factors in infrastructure, cyclist and motorist attributes. Temperature was used as a predictor of bicycle traffic due to the seasonality of bicycling in Chicago. It was found that more bicycles and vehicles result in higher crash rates. It was also found that on -street parallel parking, signalized, skewed and multiple legged intersections lead to higher crash rates.
M.S. in Civil Engineering, July 2013
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Title: MULTI-DIMENSIONAL BATCH SCHEDULING FRAMEWORK FOR HIGH-END SUPERCOMPUTERS
Creator: Zhou, Zhou
Date: 2016, 2016-05
Description: In the field of high performance computing (HPC), batch scheduling plays a critical role. They determine when and how to process the various...
Show moreIn the field of high performance computing (HPC), batch scheduling plays a critical role. They determine when and how to process the various jobs waiting for service. Conventional batch schedulers allocate user jobs solely based on their CPU footprints. However, for a given user job, it requires many different resources during its execution, such as power, network, I/O bandwidth, etc. Today’s job schedulers rarely take into account these resource requirements which sometimes turn out to be the Achilles’ heel of system-wide performance. In this research, we propose a multi-dimensional batch scheduling framework for high-end supercomputers. Our research aims to treat these common but often ignored resources (e.g., power, network, bandwidth) as schedulable resource and further transform each scheduling into a multi-objective optimization process. Our main contributions consist of a set of scheduling models and policies, aiming at addressing the issues in batch scheduling for large-scale production supercomputers. We evaluate our design by means of trace-based simulations using real workload and performance traces from production systems. Experimental results show our methods can effectively improve batch scheduling regarding user satisfaction, system performance and operating cost.
Ph.D. in Computer Science, May 2016
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$Diffractive cross sections implemented in PYTHIA8-MBR VS LHC results$

Title: Diffractive cross sections implemented in PYTHIA8-MBR VS LHC results, Proceedings of the XLIII International Symposium on Multiparticle Dynamics
Creator: Goulianos, Konstantin
Date: 2013-09-15, 2013-09-15
Publisher: IIT Press
Description: Diffractive cross sections implemented in the pythia8-mbr Monte Carlo simulation are reviewed and compared to results obtained at the Large...
Show moreDiffractive cross sections implemented in the pythia8-mbr Monte Carlo simulation are reviewed and compared to results obtained at the Large Hadron Collider.
Sponsorship: IIT College of Science, High Energy Physics Division of Argonne National Laboratory
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Title: OPTIMAL SIGNAL TIMING DESIGN FOR URBAN STREET NETWORKS UNDER USER EQUILIBRIUM BASED TRAFFIC CONDITIONS
Creator: Liu, Yi
Date: 2015, 2015-05
Description: In the ever-growing travel demand, traffic congestion on freeways and expressways recurs more frequently at a higher number of locations and...
Show moreIn the ever-growing travel demand, traffic congestion on freeways and expressways recurs more frequently at a higher number of locations and for longer durations with added severity. This becomes especially true in large metropolitan areas. Particular to the urban areas, excessive crowdedness caused by inefficient traffic control also results in urban street networks operating in near or over-saturated conditions, leading to unpleasant travel experience due to long delays at intersections. As a consequence, the recurrent traffic congestion on roadway segments and vehicle delays at intersections inevitably compromise energy efficiency, traffic mobility improvement, safety enhancement, and environmental impacts mitigation. All too often, neither restraining travel demand nor expanding system capacity is desirable and practical. Conversely, effectively utilizing the capacity of the existing transportation system has been increasingly thought of as the solution to congestion relief. With respect to the urban street networks, developing effective means for urban intersection signal optimization becomes essential to reduce intersection delays. Conventional signal timing optimization methods use historical traffic data and assume that traffic flows will remains unchanged after the implementation of new signal timing plans. Traffic flows are assumed to be constant, but in fact, when signal timing plans change, travel times for some travel routes will alter, which requires drivers in the network to adjust their choice of travel routes to arrive at the destinations, and result in redistribution of traffic in the network. Therefore, the effects of interactions between signal timing plans and traffic flows need to be explicitly taken into consideration. This study introduces a new methodology that jointly considers signal timing optimization and traffic assignment in an overall analytical framework that contains model formulations under assumptions consistent with real world situations. Such a framework is well suited for applications in real world cases. Specifically, the overall optimization framework is formulated as a bilevel optimization problem. In the proposed basic model, at the upper level, a traffic signal timing optimization problem for urban network is introduced to minimize system total travel time by optimizing signal green splits. At the lower level, a static user equilibrium problem is formulated for networkwide traffic assignment. In the vehicle delay estimation, the time-dependent stochastic delay model in the 2010 Highway Capacity Manual (HCM 2010) is employed and formulated as Variational Inequality constraints, what allow the state-of-the-art MPEC solver, GAMS/NLPEC, to solve the problem for a local optimal effectively and efficiently. The bi-level optimization model is first tested using a small network (the test network) and a computational experiment using a subarea network in the Chicago central district is conducted to assess the practicality of the model formulation in real world applications. In order to import more reality to the basic model and also consider the potential system benefit that comes from different signal phasing design, an enhanced model is developed based on the basic model by employing integer and binary variables. Formulating the problem with binary variables allows for the selection of proper phasing design. Heuristic solution methods are proposed and tested using the test network.
Ph.D. in Civil Engineering, May 2015
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