The conversion of high-occupancy vehicle (HOV) lanes to high-occupancy toll (HOT) lanes is currently being implemented in metro Atlanta on a demonstration basis and is under consideration for more widespread adoption throughout the metro region. Further conversion of HOV lanes to HOT lanes is a major policy decision that depends on knowledge of the likely impacts, including the equity of the new HOT lane. Rather than estimating these impacts using modeling or surveys, this study collects revealed preference data in the form of observed vehicle license plate data and vehicle occupancy data from users of the HOV corridor. Building on a methodology created in Spring 2011, researchers created a new methodology for matching license plate data to vehicle occupancy data that required extensive post-processing of the data. The new methodology also presented an opportunity to take an in-depth look at errors in both occupancy and license plate data (in terms of data collection efforts, processing, and the vehicle registration database). Characteristics of individual vehicles were determined from vehicle registration records associated with the license plate data collected during AM and PM peak periods immediately prior to the HOV lanes conversion to HOT lanes. More than 70,000 individual vehicle license plates were collected for analysis, and over 3,500 records are matched to occupancy values. Analysis of these data have shown that government and commercial vehicle were more prevalent in the HOV lane, while hybrid and alternative fuel vehicles were much less common in either lane than expected. Vehicle occupancy data from the first four quarters of data collection were used to create the distribution of occupancy on the HOV and general purpose lane, and then the matched occupancy and license plate data were examined. A sensitivity analysis of the occupancy data established that the current use of uncertain occupancy values is acceptable and that bus and vanpool occupancy should be considered when determining the average occupancy of all vehicles on the HOV lane. Using a bootstrap analysis, vehicle values were compared to vehicle occupancy values and the results found that there is no correlation between vehicle value and vehicle occupancy. A conclusions section suggests possible impacts of the findings on policy decisions as Georgia considers expanding the HOT network. Further research using these data, and additional data that will be collected after the HOT lane opens, will include emissions modeling and a study of changes in vehicle characteristics associated with the HOT lane conversion.

In the US transportation system, environmental justice (EJ) issues are regulated by a variety of laws to ensure that all have fair treatment with respect to implementation of policies. If State Departments of Transportation adhere to all regulations properly but unconsciously, then an underlying negative impact on a community may still exist as a result of a newly implemented project. Since the implementation of High Occupancy Toll (HOT) lanes are fairly new, and since there have been numerous concerns from the public about their discriminatory nature, a decision support system is needed to identify potential EJ violations and issues when implementing a new or converted HOT lane. No prior model exists. The goal of this research is to assist state's Department of Transportation (DOT) in the early stages of the development of an HOT lane by developing a Potential Environmental Justice Violation Model that will help state agencies predict potential EJ violations before additional resources are invested into a project. By developing a model, this study identifies and classifies characteristic drivers of potential EJ violations related to communities' economic, social, or health and safety status. The Potential Environmental Justice Violation Model (PEJVM) allows state DOTs employees to define and evaluate the distribution of impacts in the relevant categories. The model provides a method for transforming complex qualitative and quantitative data about a project into a user-friendly format where the results can then be visualized using a spider radar diagram to determine the level of impact of each identified variable. The PEJVM was validated using two previous anonymous HOT case studies and demonstrated using the Interstate 85 Case Study in Atlanta, Georgia. This model offers a uniform method of identifying potential environmental justice violations when implementing a HOT lane. The model will also help inform state agencies of potential violations early in the planning stages of HOT lane projects so that the agency can solve any potential EJ issues before additional resources are invested.

published_or_final_version / Architecture / Master / Master of Architecture

Thesis (Ph.D.)--George Mason University, 2008. / Vita: p. 199. Thesis director: Roger Stough. Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Public Policy. Title from PDF t.p. (viewed Mar. 16. 2009). Includes bibliographical references (p. 182-198). Also issued in print.

Pour les voitures autonomes, la perception est une fonction principale où la sécurité est de la plus haute importance. Un système de perception construit un modèle de l'environnement de conduite en fusionnant plusieurs capteurs de perception incluant les LIDARs, les radars, les capteurs de vision, etc. La fusion basée sur les grilles d'occupation construit un modèle probabiliste de l'environnement en prenant en compte l'incertitude des capteurs. Cette thèse vise à intégrer le calcul des grilles d'occupation dans des systèmes embarqués à bas-coût et à basse-consommation. Cependant, les grilles d'occupation effectuent des calculs de probabilité intenses et difficilement calculables en temps-réel par les plateformes matérielles embarquées.Comme solution, cette thèse introduit une nouvelle méthode de fusion probabiliste appelée Grille d'Occupation Entière. Les Grilles d'Occupation Entières se reposent sur des principes mathématiques qui permettent de calculer la fusion de capteurs grâce à des simple addition de nombre entiers. L'intégration matérielle et logicielle des Grilles d'Occupation Entière est sûre et fiable. Les erreurs numériques engendrées par les calculs sont connues, majorées et paramétrées par l'utilisateur. Les Grilles d'Occupation Entière permettent de calculer en temps-réel la fusion de multiple capteurs sur un système embarqué bas-coût et à faible consommation dédié pour les applications pour l'automobile. / Perception is a primary task for an autonomous car where safety is of utmost importance. A perception system builds a model of the driving environment by fusing measurements from multiple perceptual sensors including LIDARs, radars, vision sensors, etc. The fusion based on occupancy grids builds a probabilistic environment model by taking into account sensor uncertainties. This thesis aims to integrate the computation of occupancy grids into embedded low-cost and low-power platforms. Occupancy Grids perform though intensive probability calculus that can be hardly processed in real-time on embedded hardware.As a solution, this thesis introduces the Integer Occupancy Grid framework. Integer Occupancy Grids rely on a proven mathematical foundation that enables to process probabilistic fusion through simple addition of integers. The hardware/software integration of integer occupancy grids is safe and reliable. The involved numerical errors are bounded and is parametrized by the user. Integer Occupancy Grids enable a real-time computation of multi-sensor fusion on embedded low-cost and low-power processing platforms dedicated for automotive applications.

Rares, discrets, fascinants et sanguinaires sont autant d'adjectifs utilisés en Europe pour qualifier les grands carnivores qui arpentent nos forêts. La dégradation de leur habitat et la raréfaction de leurs proies, associées au folklore qui les entoure, ont engendré de nombreux conflits avec l'Homme et les ont menés à disparaître de la plupart de leurs aires historiques de répartition. Depuis, ces espèces ont le statut d'espèces protégées dans la plupart des pays européens. Ce statut est notamment garanti pour la plupart par la Directive Habitat et la convention de Berne. Ces textes législatifs ont permis d'instaurer un contexte favorable pour un retour progressif de ces espèces au sein de nos écosystèmes. Afin de remplir les exigences instaurées par ces différents textes législatifs, il était nécessaire d'améliorer les connaissances scientifiques sur l'écologie de ces espèces et la dynamique de leurs populations. Les pays européens ont ainsi déployé des efforts considérables afin de contribuer à une connaissance globale et à une gestion durable des grands carnivores. Ces efforts ne sont clairement pas homogènes entre l'ours, le loup et le lynx. Le premier enjeu de cette thèse était donc d'évaluer les facteurs pouvant expliquer l'hétérogénéité d'investissement dans la conservation de ces espèces en Europe. Ce chapitre repose à la fois sur des critères écologiques des populations locales et sur des critères économiques des pays considérés. Le premier résultat fort de cette étude montre que l'ours et le lynx auraient un même profil et bénéficieraient du même intérêt pour les scientifiques européens, le loup différant de ces deux espèces. Le second résultat probant révèle que les travaux de recherche seraient davantage orientés vers les populations à forts effectifs plutôt que vers les petites populations. L'investissement scientifique dans ce premier chapitre est en partie quantifié par l'effort investi dans le suivi des populations, qui reste un véritable défi pour les grands carnivores. En effet, le comportement discret de ces espèces, leur faible densité et leur besoin de grands espaces sont autant de contraintes pour leur suivi qui requiert alors d'importants moyens humains et financiers. Le suivi des effectifs du lynx boréal (Lynx lynx), en France, est un exemple révélateur de ces contraintes. Il reposait jusqu'à récemment sur la collecte d'indices de présence indirects. Motivés par la mise en place d'un protocole de suivi non-invasif mais coûteux par piégeage photographique dans le massif jurassien français, nous avons évalué dans un deuxième chapitre une nouvelle méthode d'estimation des effectifs de cette population qui permet d'inclure l'information spatiale dans l'analyse. Cette méthode a permis de fournir la première estimation fiable des effectifs de lynx en France. Cette estimation est fournie néanmoins avec une précision toute relative au vu du peu de données collectées lors de ce suivi. L'écart entre le budget nécessaire pour obtenir un recensement de la population et le budget disponible pour le suivi de l'espèce étant considérable, il a fallu dans un troisième chapitre développer un nouvel outil pour optimiser l'utilisation des données disponibles. La combinaison des données de présence-absence et des données de piégeage photographique a permis d'améliorer considérablement les estimations d'effectifs qui sont, dans le Jura français, plutôt en hausse ces dernières années. La situation n'est pas aussi favorable pour l'espèce dans la région des Vosges. Cette population, issue d'une réintroduction, semble décliner de manière drastique depuis les 5 dernières années. Dans un quatrième chapitre, nous avons donc étudié l'efficacité de deux stratégies de conservation visant d'une part à favoriser la connectivité entre les populations vosgienne et jurassienne et d'autre part à réintroduire des individus dans la forêt Palatine allemande, située en continuité du massif vosgien. / Rare, discrete, fascinating and bloodthirsty are all adjectives used in Europe to describe the large carnivores that roam our forests. Degradation of their habitat and depletion of their prey, combined with these wild and "bloodthirsty" aspects, have led to numerous conflicts with humans and led them to disappear from most of their historical range. Since then, most of them have a protected status in most European countries. This status is guaranteed for most of these countries by the Habitats Directive and the Berne Convention. These laws created a favorable context for a gradual return of these species in our ecosystems. To fulfill the requirements established by these laws, it was necessary to improve scientific knowledge of the ecology of these species and to develop methodological tools to understand the dynamics of their populations. European countries then made considerable efforts to contribute to global knowledge and sustainable management of large carnivores. These efforts, in the case of the bear, wolf and lynx, are clearly not homogenous within Europe. The first challenge of this thesis was to evaluate the factors that might explain the heterogeneity of investment in the conservation of large carnivores in Europe. This chapter is based both on ecological criteria of local species and economic criteria of the countries of interest. The first strong result of this study revealed that the bear and lynx have the same profile and receive the same interest from European scientists, wolf differing from the two other species. The second convincing result revealed that the research would be more oriented towards abundant populations rather than small populations as previously assumed by the scientific community. The scientific investment in this first chapter is partly quantified by the amount of effort invested in monitoring populations. It turns out to be a real challenge for large carnivores. The secretive behavior of these species, their low density and their need for large spaces are all constraints to monitoring requiring substantial human and financial resources. Eurasian lynx (Lynx lynx) monitoring in France is a typical example of these constraints. Until now, monitoring was based on the collection of indirect presence signs. Recently, a non-invasive but expensive camera-trapping protocol has been settled in the French Jura Mountains. We then evaluated in a second chapter a new method for estimating the size of this population. This method has provided the first reliable estimate of the abundance of lynx in France. This estimate, however, came with a relative precision given the limited quantity of data collected during this session. The gap between the needs for a census of the population and the budget available for the monitoring of the species is huge so we had to develop a new modeling tool to achieve our goal. In the third chapter, the objective was to improve these estimates, optimizing the use of the available data. The combination of presence-absence data and camera trapping data has greatly improved the French Jura population estimates that go rising in recent years. The situation is not as favorable for the species on the Vosges part. This population, after reintroduction, appears to be declining drastically over the last 5 years. In a fourth chapter, we therefore investigated the effectiveness of two conservation strategies: the first one was to instate some connectivity between the Vosges and Jura populations and the second one to reintroduce individuals in the German Palatinate Forest, situated in continuity with the Vosges.

The aim of this project was to develop a holistic approach to building-performance assessment without limiting it to energy use (usually expressed in kWh/m2/year), but rather include more parameters that represent the following aspects: Economic, environmental, and quality of service provided to the occupant/client. If it can be shown that buildings can be operated not only in an energy-efficient way, but also in a way that takes into consideration the needs of the occupants, a case could be built that a higher quality of indoor environment does not necessarily mean a higher economic impact. It is also important to show that having access to high-quality building-performance data leads to high-quality analysis and visualisation, and consequently to a chance to detect faults and improve building operation. To answer these questions, a large office building in Stockholm, Sweden was used as a case study. The building was equipped with energy meters and 1,700 sensor points, uniformly distributed over the occupied areas, that measured room temperature, duct temperature, occupancy presence/absence and supply airflow, in addition to other states. The data was processed using RStudio, and various types of visualisation plots were used, including carpet plots, masked scatter plots, bar plots, line graphs, and boxplots. The data pointed to some interesting results. First, just knowing the energy use is not sufficient for understanding the quality of the service provided to the occupants. Second, performing a thorough analysis of room unit data can detect faults. Third, using carpet plots for energy-data visualisation is effective for energy-use pattern recognition. Finally, visualising the building performance parameters in a parallel coordinate plot is a more informative representation of integrated building performance compared to the energy performance certificates typically used today. / <p>QC 20160916</p>

No description available.

The High Occupancy Vehicle (HOV) lanes on Atlanta, Georgia’s radial I-85 had long been providing sub-optimal throughput in the peak traffic hours, as the two-person occupancy requirement allowed the lanes to become heavily congested. The Georgia Department of Transportation converted 15.5 miles of HOV 2+ lanes to High Occupancy Toll (HOT) lanes, one in each direction on I-85. The lanes use dynamic value pricing to set toll levels based on the volume and average speed of traffic in the lanes. The goal of this research was to investigate the responses to toll lane pricing and the factors that appear to inform lane choice decisions, as well as examining values of travel time savings and toll price elasticity for users of the Express Lanes. This study of the metropolitan Atlanta I-85 Express Lanes operates at the microscopic level to examine the impact of demographic characteristics, congestion levels, and pricing on users’ decisions to use or not use the I-85 Express Lanes. The dissertation examined the value of travel time savings distributions across income segments. The differences in these distributions among lower, medium, and higher income households were marginal at best. The results did not indicate that higher income households had the highest value of travel time savings results, as may have been expected. The modeling work performed here provided a number of insights into toll lane use. The determinants of lane choice decision-making in the morning peak had notable differences from the determinants of the afternoon peak. The initial analysis involved models which were estimated across three different income segments to examine differences in decision making between low, medium, and higher income households. The results indicated that the parameters were largely consistent across the three segments. Further segmenting the households showed that lane choice determinants varied more within the ‘Higher’ income segment than across the original three-segment structure. In particular, the five-segment models illustrated lower elasticities with regard to corridor segment counts and toll levels for the highest-income households in the sample, as well as higher household income level elasticities for afternoon trips by that same cohort. The research was among the first in the available literature to use revealed preference lane use data for both the toll lane users and the unpriced general purpose lane users. The use of household level marketing data, rather than census or survey data, was another unique characteristic of this research. The analysis of value of travel time savings with a demographic component that looks at household income has not yet been seen in the literature; similarly, the findings regarding differing behavior among very high income households appear to be unseen in the existing literature. The results from this analysis, such as willingness-to-pay values for different population segments, will be useful inputs to the decisions surrounding future HOT implementations in the Atlanta region. The use of new data sources, the evaluation of those types of data sources, and the application of methods that have previously been unused in this field make up the primary contributions of this dissertation.

The focus of this study was to investigate an alternative and more cost effective solution for occupancy sensing in commercial office buildings. The intended purpose of this solution is to aid in efficient energy management. The main requirements were that the proposed solution made use of existing infrastructure only, and provided a means to focus on occupant location. This research was undertaken due to current solutions making use of custom occupancy sensors that are relatively costly and troublesome to implement. These solutions focus mainly on monitoring environmental changes, and not the physical locations of the occupants themselves. Furthermore, current occupancy sensing solutions are unable to provide proximity and timing information that indicate how far an occupant is located from a specific area, or how long the occupant resided there. The research question was answered by conducting a proof of concept study with data simulated in the OMNeT++ environment in conjunction with the MiXiM framework for wireless networks. The proposed solution investigated the fidelity of existing WiFi infrastructure for occupancy sensing, this entailed the creation of a Virtual Occupancy Sensor (VOS) that implemented RSS-based localisation for an occupant’s WiFi devices. Localisation was implemented with three different location estimation techniques; these were trilateration, constrained nearest neighbour RF mapping and unconstrained nearest neighbour RF mapping. The obtained positioning data was interpreted by a developed intelligent agent that was able to transform this regular position data into relevant occupancy information. This information included a distance from office measurement and an occupancy result that can be interpreted by existing energy management systems. The accuracy and operational behaviour of the developed VOS were tested with various scenarios. Sensitivity analysis and extreme condition testing were also conducted. Results showed that the constrained nearest neighbour RF mapping approach is the most accurate, and is best suited for occupancy determination. The created VOS system can function correctly with various tested sensitivities and device loads. Furthermore results indicated that the VOS is very accurate in determining room level occupancy although the accuracy of the position coordinate estimations fluctuated considerably. The operational behaviour of the VOS could be validated for all investigated scenarios. It was determined that the developed VOS can be deemed fit for its intended purpose, and is able to give indication to occupant proximity and movement timing. The conducted research confirmed the fidelity of WiFi infrastructure for occupancy sensing, and that the developed VOS can be considered a viable and cost effective alternative to current occupancy sensing solutions. / MIng (Computer and Electronic Engineering), North-West University, Potchefstroom Campus, 2014