Relevant bibliographies by topics / Analysis of gait

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Analysis of gait'

Author: Grafiati
Published: 4 June 2021
Last updated: 3 February 2022

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Journal articles on the topic "Analysis of gait"

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Kim, Youngho, and Jinbok Yi. "Gait Analysis in Normal and Hemiplegic Patients Using Accelerometers(Gait & Motion Analysis)." Proceedings of the Asian Pacific Conference on Biomechanics : emerging science and technology in biomechanics 2004.1 (2004): 113–14. http://dx.doi.org/10.1299/jsmeapbio.2004.1.113.

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Law, YC, AFT Mak, WN Wong, and M. Zhang. "THE VARIATION OF DYNAMIC FOOT PRESSURE WITH GAIT PARAMETER.(Gait & Motion Analysis)." Proceedings of the Asian Pacific Conference on Biomechanics : emerging science and technology in biomechanics 2004.1 (2004): 115–16. http://dx.doi.org/10.1299/jsmeapbio.2004.1.115.

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Perry, Jacquelin, Slac k, and Jon R. Davids. "Gait Analysis." Journal of Pediatric Orthopaedics 12, no. 6 (November 1992): 815. http://dx.doi.org/10.1097/01241398-199211000-00023.

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Seidel, Geoffrey K. "Gait Analysis." American Journal of Physical Medicine & Rehabilitation 72, no. 6 (December 1993): 408. http://dx.doi.org/10.1097/00002060-199312000-00016.

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Paul, J. P. "Gait analysis." Annals of the Rheumatic Diseases 48, no. 3 (March 1, 1989): 179–81. http://dx.doi.org/10.1136/ard.48.3.179.

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DeLuca, Peter A. "Gait analysis." Current Opinion in Orthopaedics 4, no. 6 (December 1993): 101–4. http://dx.doi.org/10.1097/00001433-199312000-00018.

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GAGE, JAMES R., PETER A. DELUCA, and THOMAS S. RENSHAW. "Gait Analysis." Journal of Bone & Joint Surgery 77, no. 10 (October 1995): 1607–23. http://dx.doi.org/10.2106/00004623-199510000-00017.

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Hatze, Herbert. "Gait Analysis." Journal of Motor Behavior 19, no. 2 (June 1987): 280–87. http://dx.doi.org/10.1080/00222895.1987.10735413.

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GAGE, JAMES R. "Gait Analysis." Clinical Orthopaedics and Related Research &NA;, no. 288 (March 1993): 126???134. http://dx.doi.org/10.1097/00003086-199303000-00016.

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Eriksson, Ejnar. "Gait analysis." Knee Surgery, Sports Traumatology, Arthroscopy 10, no. 4 (June 19, 2002): 203. http://dx.doi.org/10.1007/s00167-002-0299-6.

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Dissertations / Theses on the topic "Analysis of gait"

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Corr, Sandra A. "Avian gait analysis." Thesis, University of Glasgow, 1999. http://theses.gla.ac.uk/6629/.

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Two methods were used in this research. The pedobarograph is a relatively novel method of gait analysis for animals which enables footfall patterns to be recorded, enabling spatial parameters (step length, width and angle) and plantar pressure patterns to be described and measured. A Kistler force plate was then used to measure the three-dimensional ground reaction forces (GRF's) produced during walking. Speed and cadence can be calculated using either system. Gait patterns are described for normal birds, and for different strains of broilers, raised on different feeding regimes. All the gait parameters were very variable, both between birds, and within the same bird, even when bodyweight and speed were controlled for. Despite the high variability, however, significant differences were identified in many of the gait parameters between the different groups. The vertical and craniocaudal GRF's of Brown Leghorns showed similar characteristics to those produced in human walking. The peak vertical forces were of a similar order of magnitude in the birds as in humans (125-150 % bodyweight), and the peak craniocaudal forces, and the rate of change of force, were closely tied to speed. All the GRF's in the birds increased significantly with increasing speed, except for braking rate (which was more variable) and stance time (which decreased significantly). The mediolateral forces were much greater in the birds than have been reported for other species, however, with peaks of 10-22% bodyweight. Analysis of plantar pressures showed that the pressure were concentrated on the digital pads, with the lowest pressure on the metatarsal pad (131 kNm-2), and highest pressure on the medial toe (up to 218 kNm-2).Combined gait analysis and morphometric studies of ad libitum-fed selected broilers identified many ways in which their gait deviated from that of relaxed broilers and Brown Leghorns, in ways which would serve to increase stability and decrease stresses on the skeleton.
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Ma, Weizen. "Instrumentation of Gait Analysis." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-28759.

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This master’s thesis project “Instrumentation of Gait Analysis” was carried out at and funded by Integrum AB, Gothenburg, Sweden. Force analysis is critical during rehabilitation process of amputation patients, since overloading might place the bone-implant interface at risk; while underloading might extend unnecessarily the already long rehabilitation program [1]. Highly developed sensor and data acquisition technology provides an easy and reliable way to do force analysis. This thesis introduces the problem and provides background material regarding Orthotics and Prosthetics, including osseointegration. The existing gait analysis techniques and sensor technology will be described. Based upon the criteria that are introduced, a suitable sensor and integration platform was selected to implement a new gait analysis system. Several trials of different gait states are proposed using the prototype to do gait analysis, the results are presented and analyzed. The success of this prototype has lead to plans to design an Osseointegrated Prostheses for the Rehabilitation of Amputees(OPRA) product
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Lee, Lily 1971. "Gait analysis for classification." Thesis, Massachusetts Institute of Technology, 2002. http://hdl.handle.net/1721.1/8116.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2002.
Includes bibliographical references (p. 121-124).
This thesis describes a representation of gait appearance for the purpose of person identification and classification. This gait representation is based on simple localized image features such as moments extracted from orthogonal view video silhouettes of human walking motion. A suite of time-integration methods, spanning a range of coarseness of time aggregation and modeling of feature distributions, are applied to these image features to create a suite of gait sequence representations. Despite their simplicity, the resulting feature vectors contain enough information to perform well on human identification and gender classification tasks. We demonstrate the accuracy of recognition on gait video sequences collected over different days and times, and under varying lighting environments. Each of the integration methods are investigated for their advantages and disadvantages. An improved gait representation is built based on our experiences with the initial set of gait representations. In addition, we show gender classification results using our gait appearance features, the effect of our heuristic feature selection method, and the significance of individual features.
by Lily Lee.
Ph.D.
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Hong, Jie. "Human gait identification and analysis." Thesis, Brunel University, 2012. http://bura.brunel.ac.uk/handle/2438/7115.

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Human gait identification has become an active area of research due to increased security requirements. Human gait identification is a potential new tool for identifying individuals beyond traditional methods. The emergence of motion capture techniques provided a chance of high accuracy in identification because completely recorded gait information can be recorded compared with security cameras. The aim of this research was to build a practical method of gait identification and investigate the individual characteristics of gait. For this purpose, a gait identification approach was proposed, identification results were compared by different methods, and several studies about the individual characteristics of gait were performed. This research included the following: (1) a novel, effective set of gait features were proposed; (2) gait signatures were extracted by three different methods: statistical method, principal component analysis, and Fourier expansion method; (3) gait identification results were compared by these different methods; (4) two indicators were proposed to evaluate gait features for identification; (5) novel and clear definitions of gait phases and gait cycle were proposed; (6) gait features were investigated by gait phases; (7) principal component analysis and the fixing root method were used to elucidate which features were used to represent gait and why; (8) gait similarity was investigated; (9) gait attractiveness was investigated. This research proposed an efficient framework for identifying individuals from gait via a novel feature set based on 3D motion capture data. A novel evaluating method of gait signatures for identification was proposed. Three different gait signature extraction methods were applied and compared. The average identification rate was over 93%, with the best result close to 100%. This research also proposed a novel dividing method of gait phases, and the different appearances of gait features in eight gait phases were investigated. This research identified the similarities and asymmetric appearances between left body movement and right body movement in gait based on the proposed gait phase dividing method. This research also initiated an analysing method for gait features extraction by the fixing root method. A prediction model of gait attractiveness was built with reasonable accuracy by principal component analysis and linear regression of natural logarithm of parameters. A systematic relationship was observed between the motions of individual markers and the attractiveness ratings. The lower legs and feet were extracted as features of attractiveness by the fixing root method. As an extension of gait research, human seated motion was also investigated.
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Kepenekci, Burcu. "Human Activity Recognition By Gait Analysis." Phd thesis, METU, 2011. http://etd.lib.metu.edu.tr/upload/12613089/index.pdf.

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This thesis analyzes the human action recognition problem. Human actions are modeled as a time evolving temporal texture. Gabor filters, which are proved to be a robust 2D texture representation tool by detecting spatial points with high variation, is extended to 3D domain to capture motion texture features. A well known filtering algorithm and a recent unsupervised clustering algorithm, the Genetic Chromodynamics, are combined to select salient spatio-temporal features of the temporal texture and to segment the activity sequence into temporal texture primitives. Each activity sequence is represented as a composition of temporal texture primitives with its salient spatio-temporal features, which are also the symbols of our codebook. To overcome temporal variation between different performances of the same action, a Profile Hidden Markov Model is applied with Viterbi Path Counting (ensemble training). Not only parameters and structure but also codebook is learned during training.
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Deluzio, Kevin John. "Modelling and analysis of gait waveforms." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp05/nq22455.pdf.

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Hayfron-Acquah, James Ben. "Automatic gait recognition by symmetry analysis." Thesis, University of Southampton, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.274080.

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Wiik, Anatole Vilhelm. "Gait analysis using an instrumented treadmill." Thesis, Imperial College London, 2016. http://hdl.handle.net/10044/1/42542.

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Background: Gait analysis is used to measure objectively the ability to walk before and after hip and knee joint replacement. Most gait literature to date has measured patients walking at slow speeds, which may have unintentionally characterized successful lower limb operations as the same regardless of its operation type. The aim of this thesis was to use an instrumented treadmill to (1) test the upper limits of gait performance of patients awaiting and after lower limb arthroplasty and (2) describe and compare different joint procedures to healthy controls. Method: Gait analysis was carried out using an instrumented treadmill. Study participants walked at their preferred walking and top walking speed on the treadmill. Their vertical ground reaction force and spatiotemporal data was captured for both limbs by tandem force plates beneath the treadmill's belt. Results: The results suggest that at preferred walking speed on the flat, all subjects' gait characteristics were similar irrespective of joint state. The differences between patient groups became more apparent at top walking speed. Weight acceptance, step length and stride length were the most useful variables assessing these differences. Unicompartmental knee replacement and hip resurfacing had closer to normal gait patterns when compared to total knee replacement and conventional total hip replacement respectively. Predictably patients with knee osteoarthritis had asymmetrical gait patterns, impulse was found to be the best variable distinguishing patients with knee osteoarthritis from healthy controls. The downhill walking assessment established that patients with unicompartmental knee replacements had a more normal gait pattern than total knee replacement patients. Conclusion: The gait results suggest that an instrumented treadmill is a useful metric to describe patient gait patterns. Testing performance at higher walking speeds allowed differences to be detected, which were undetectable at slower speeds. Anatomically conserving procedures such as unicompartmental knee replacement and hip resurfacing appear to have convincing functional advantages compared to less conserving joint replacement procedures.
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Boston, Robert Trevor. "Techniques for orientation independent gait analysis." Thesis, University of Southampton, 2008. https://eprints.soton.ac.uk/64476/.

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Gait recognition algorithms are being increasingly widely researched, however a common assumption is that the subject will be presented side on to the camera. In practice it may not be possible to capture data from this view, so a useful gait recognition algorithm will have to provide a measure of orientation independence. Three gait recognition algorithms are examined and found to perform poorly with nonnormal orientation. The complex detail used for recognition can not be translated between orientations in a holistic silhouette manner. It is shown that orientation independent features can be extracted using a human model. The algorithm is developed and tested on live captured data and found to perform better across orientations than silhouette based approaches. The performance recorded at a single orientation is lower than that of other approaches, however only the motion of the subject is currently used for recognition. More accurate motion estimation will increase performance as will the inclusion of other model based features.
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Spencer, Nicholas M. "Pose invariant gait analysis and reconstruction." Thesis, University of Southampton, 2005. https://eprints.soton.ac.uk/261776/.

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One of the unique advantages of human gait is that it can be perceived from a distance. A varied range of research has been undertaken within the field of gait recognition. However, in almost all circumstances subjects have been constrained to walk fronto-parallel to the camera with a single walking speed. In this thesis we show that gait has sufficient properties that allows us to exploit the structure of articulated leg motion within single view sequences, in order to remove the unknown subject pose and reconstruct the underlying gait signature, with no prior knowledge of the camera calibration. Articulated leg motion is approximately planar, since almost all of the perceived motion is contained within a single limb swing plane. The variation of motion out of this plane is subtle and negligible in comparison to this major plane of motion. Subsequently, we can model human motion by employing a cardboard person assumption. A subject's body and leg segments may be represented by repeating spatio-temporal motion patterns within a set of bilaterally symmetric limb planes. The static features of gait are defined as quantities that remain invariant over the full range of walking motions. In total, we have identified nine static features of articulated leg motion, corresponding to the fronto-parallel view of gait, that remain invariant to the differences in the mode of subject motion. These features are hypothetically unique to each individual, thus can be used as suitable parameters for biometric identification. We develop a stratified approach to linear trajectory gait reconstruction that uses the rigid bone lengths of planar articulated leg motion in order to reconstruct the fronto-parallel view of gait. Furthermore, subject motion commonly occurs within a fixed ground plane and is imaged by a static camera. In general, people tend to walk in straight lines with constant velocity. Imaged gait can then be split piecewise into natural segments of linear motion. If two or more sufficiently different imaged trajectories are available then the calibration of the camera can be determined. Subsequently, the total pattern of gait motion can be globally parameterised for all subjects within an image sequence. We present the details of a sparse method that computes the maximum likelihood estimate of this set of parameters, then conclude with a reconstruction error analysis corresponding to an example image sequence of subject motion.
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Books on the topic "Analysis of gait"

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Vaughan, C. L. Gait analysis laboratory. Champaign, IL: Human Kinetics Publishers, 1992.

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Gait analysis: An introduction. Oxford: Butterworth-Heinemann, 1991.

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Gait analysis: An introduction. 4th ed. Edinburgh: Butterworth-Heinemann, 2007.

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Gait analysis: An introduction. 2nd ed. Oxford: Butterworth-Heinemann, 1996.

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Gait analysis: Normal and pathological function. Thorofare, NJ: SLACK, 1992.

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M, Burnfield Judith, ed. Gait analysis: Normal and pathological function. 2nd ed. Thorofare, NJ: SLACK, 2010.

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Bruckner, Jan. Gait workbook: A practical guide to clinical gait analysis. Thorofare, NJ: SLACK, Inc., 1998.

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Bruckner, Jan. The Gait workbook: A practical guide to clinical gait analysis. Thorofare, NJ: SLACK, 1998.

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Bruckner, Jan. The gait workbook: A practical guide to clinical gait analysis. Thorofare, NJ: SLACK Inc., 1998.

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M, Brown Curtis. Dog locomotion and gait analysis. Wheat Ridge, Colo., U.S.A. (4401 Zephyr St., Wheat Ridge 80033-3299): Hoflin Pub., 1986.

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Book chapters on the topic "Analysis of gait"

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Theologis, Tim N. "Gait Analysis." In Children's Orthopaedics and Fractures, 67–74. London: Springer London, 2009. http://dx.doi.org/10.1007/978-1-84882-611-3_6.

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Dwyer, Maureen K. "Gait Analysis." In Hip Joint Restoration, 115–22. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4614-0694-5_10.

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Theologis, Tim N. "Gait Analysis." In Children's Neuromuscular Disorders, 1–8. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-552-1_1.

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Suryadevara, Nagender. "Gait Analysis." In Beginning Machine Learning in the Browser, 135–62. Berkeley, CA: Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-6843-8_5.

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WHITTLE, M. "Normal gait." In Gait Analysis, 47–100. Elsevier, 1998. http://dx.doi.org/10.1016/b978-075068883-3.50007-6.

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Whittle, Michael W. "Pathological Gait." In Gait Analysis, 91–129. Elsevier, 1991. http://dx.doi.org/10.1016/b978-0-7506-0045-3.50008-2.

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Whittle, Michael W. "Normal Gait." In Gait Analysis, 48–90. Elsevier, 1991. http://dx.doi.org/10.1016/b978-0-7506-0045-3.50007-0.

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"Copyright." In Gait Analysis, iv. Elsevier, 2007. http://dx.doi.org/10.1016/b978-075068883-3.50001-5.

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"Dedication." In Gait Analysis, ii. Elsevier, 2007. http://dx.doi.org/10.1016/b978-075068883-3.50002-7.

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"Acknowledgments." In Gait Analysis, vii. Elsevier, 2007. http://dx.doi.org/10.1016/b978-075068883-3.50003-9.

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Conference papers on the topic "Analysis of gait"

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Pehlivan, Nezihe, Can Tunca, Gulustu Salur, and Cem Ersoy. "Gait analysis using kinect: Towards in-home gait analysis." In 2017 25th Signal Processing and Communications Applications Conference (SIU). IEEE, 2017. http://dx.doi.org/10.1109/siu.2017.7960561.

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Nixon, M. S. "Automatic gait recognition." In IEE Colloquium on Motion Analysis and Tracking. IEE, 1999. http://dx.doi.org/10.1049/ic:19990573.

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Bae, Joonbum, Kyoungchul Kong, Nancy Byl, and Masayoshi Tomizuka. "A mobile gait monitoring system for gait analysis." In the Community (ICORR). IEEE, 2009. http://dx.doi.org/10.1109/icorr.2009.5209621.

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Erdem, N. Seyma, Cem Ersoy, and Can Tunca. "Gait Analysis Using Smartwatches." In 2019 IEEE 30th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC Workshops). IEEE, 2019. http://dx.doi.org/10.1109/pimrcw.2019.8880821.

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Izadi, M., M. J. Mahjoob, and M. Soheilypour. "Walking Gait of a Single-Tetrahedral Robot: Design, Modeling and Implementation." In ASME 2010 10th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2010. http://dx.doi.org/10.1115/esda2010-24434.

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A Tetrahedral Walker (TET Walker) is a robot made to extend space exploration into inaccessible regions. The motion of the tetrahedron is due to the changes in the struts length. This work presents the implementation and walking gait design of a tetrahedron walker robot. A model for walking gait of the robot is developed. A comparison is then made between different computer simulations of the gaits. A navigation algorithm for walking gait of this type of robots is also developed and discussed.
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Samudin, N., W. N. Mohd Isa, T. H. Maul, and W. K. Lai. "Analysis of Gait Features between Loaded and Normal Gait." In Internet-Based Systems (SITIS 2009). IEEE, 2009. http://dx.doi.org/10.1109/sitis.2009.37.

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Sun, Baiqing, Xiaogang Liu, Xuetang Wu, and Haiyang Wang. "Human gait modeling and gait analysis based on Kinect." In 2014 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2014. http://dx.doi.org/10.1109/icra.2014.6907315.

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Zdragkas, George I., and John N. Avaritsiotis. "Gait analysis and automatic gait event identification using accelerometers." In 2008 8th IEEE International Conference on Bioinformatics and BioEngineering (BIBE). IEEE, 2008. http://dx.doi.org/10.1109/bibe.2008.4696843.

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Nandy, Anup, Akanksha Pathak, Pavan Chakraborty, and G. C. Nandi. "Gait identification using component based gait energy image analysis." In 2014 International Conference on Signal Propagation and Computer Technology (ICSPCT). IEEE, 2014. http://dx.doi.org/10.1109/icspct.2014.6885005.

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Wakolbinger, S., J. A. Birchbauer, and S. Küberl. "Gait analysis on the move: the infinite gait walkway." In IET International Conference on Technologies for Active and Assisted Living (TechAAL). Institution of Engineering and Technology, 2015. http://dx.doi.org/10.1049/ic.2015.0135.

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Reports on the topic "Analysis of gait"

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Vaughan, Phillip, Golnar Nabizadeh, Laura Findlay, Heather Doran, Niamh Nic Daeid, and Mark Brown. Understanding Forensic Gait Analysis #1. Edited by Chris Murray. University of Dundee, February 2020. http://dx.doi.org/10.20933/100001152.

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Evans, III, Farquhar Boyd M., Nycz Ethan, Ericson Andrzej, Pusch Nance, Wilken Martin, and Jason. Mobile Gait Analysis System for Lower Limb Amputee High-Level Activity Rehabilitation. Fort Belvoir, VA: Defense Technical Information Center, September 2013. http://dx.doi.org/10.21236/ada599527.

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Mohling, Caroline M., Anna K. Johnson, Kenneth J. Stalder, Caitlyn Abell, Locke A. Karriker, Johann F. Coetzee, and Suzanne T. Millman. Gait Analysis as an Objective Tool to Measure Hoof Lameness Phases in Multiparous Sows. Ames (Iowa): Iowa State University, January 2014. http://dx.doi.org/10.31274/ans_air-180814-1194.

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Schafermeyer, Erich. An IR and RF Based System for Functional Gait Analysis in a Multi-Resident Smart-Home. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.5386.

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Frimenko, Rebecca, Cassie Whitehead, and Dustin Bruening. Do Men and Women Walk Differently? A Review and Meta-Analysis of Sex Difference in Non-Pathological Gait Kinematics. Fort Belvoir, VA: Defense Technical Information Center, January 2014. http://dx.doi.org/10.21236/ada597428.

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Alshahrani, Mastour Saeed, Kumar Gular, Jayashanker Tedla, Kangaraj Rengaramanujam, Venkata Nagaraj Kakaraparthi, Snehil Dixit, and Ravi Shankar Reddy. Effect of Lower Limb Constrained Induced Movement Therapy on Gait, Balance, and Cardiovascular parameters-A systematic review and Meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, July 2021. http://dx.doi.org/10.37766/inplasy2021.7.0008.

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Yang, Xinwei, Huan Tu, and Xiali Xue. The improvement of the Lower Limb exoskeletons on the gait of patients with spinal cord injury: A protocol for systematic review and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, August 2021. http://dx.doi.org/10.37766/inplasy2021.8.0095.

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Review question / Objective: The purpose of this systematic review and meta-analysis was to determine the efficacy of lower extremity exoskeletons in improving gait function in patients with spinal cord injury, compared with placebo or other treatments. Condition being studied: Spinal Cord Injury (SCI) is a severely disabling disease. In the process of SCI rehabilitation treatment, improving patients' walking ability, improving their self-care ability, and enhancing patients' self-esteem is an important aspect of their return to society, which can also reduce the cost of patients, so the rehabilitation of lower limbs is very important. The lower extremity exoskeleton robot is a bionic robot designed according to the principles of robotics, mechanism, bionics, control theory, communication technology, and information processing technology, which can be worn on the lower extremity of the human body and complete specific tasks under the user's control. The purpose of this study was to evaluate the effect of the lower extremity exoskeleton on the improvement of gait function in patients with spinal cord injury.
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Iyer, Ananth V., Steven R. Dunlop, Olga Senicheva, Dutt J. Thakkar, Ruier Yan, Karthikeyan Subramanian, Suraj Vasu, Gokul Siddharthan, Juily Vasandani, and Srijan Saurabh. Improve and Gain Efficiency in Winter Operations. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317312.

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This report analyzes the current service level of winter operations in Indiana and explores opportunities to optimize performance. We analyze data regarding winter operations managed by INDOT and provide specific quantified estimates of opportunities to improve efficiency while also managing costs. For our exploration, we use data provided by INDOT sources, qualitative insights from interviews with INDOT personnel, literature survey data and benchmarking information, salt and supplier data analysis, and simulation. As part of our research, we developed a simulation model to visually represent the impact of alternate management of trucks for snow removal and a dashboard to understand the impact. Our analysis suggests the following: (1) opportunities exist to coordinate salt delivery by suppliers and combine local city salt purchases with INDOT’s purchases to save costs, (2) adjusting routes will reduce deadhead, (3) understanding truck maintenance and truck locations improves performance, and (4) incorporating critical locations into snow route planning will meet service thresholds. These insights provide implementable recommendation initiatives to improve winter operations performance. The simulation tool developed in this project simulates various weather events to draw insights and determine appropriate resource allocations and opportunities for improving operational efficiency. The report thus provides a quantifiable approach to winter operations that can improve the overall service level and efficiency of the process.
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9

Hotz, V. Joseph, Guido Imbens, and Jacob Klerman. The Long-Term Gains from GAIN: A Re-Analysis of the Impacts of the California GAIN Program. Cambridge, MA: National Bureau of Economic Research, November 2000. http://dx.doi.org/10.3386/w8007.

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10

Gluckstern, R. L., Hiromi Okamoto, and S. Krinsky. An analysis of the saturation of a high gain FEL. Office of Scientific and Technical Information (OSTI), December 1992. http://dx.doi.org/10.2172/6713378.

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