In the last few decades India has advanced socioeconomically due to the rapid growth of industries and automobile sector. This in turn increases the use of fossil fuel and diesel. The atmosphere gets polluted due to the harmful substances, which comes from the burning of fuel. These pollutants can be in the form of gaseous, liquid or solid particulate. Air pollution, both indoor and outdoor, is a significant cause of health problems worldwide. In the automobile sector diesel engine exhaust is the major contributor for the air pollution amounting to about 60%. Exhaust generally contains oxides of Carbon, Nitrogen, Sulfur, Soot, Oil mist etc. Due to the heavy consumption of diesel as a fuel there is an urgent need to control diesel exhaust. Successful control of emissions from combustion engines particularly from diesel engines is yet to be achieved. The conventional techniques which are available to control emission now are either difficult to operate or does not satisfy the stringent emission standards. Among the major pollutants of diesel exhaust NOx is one of the pollutants to be taken care of as it is the major contributor for acid rain, photochemical smog etc. Further the NOx cause health problems leading to respiratory diseases, pneumonia, asthma etc. Till date, despite improvement in aftertreatment technologies, diesel engine continues to emit large amounts of NOx. The failure of conventional techniques lead to the development of non-conventional techniques such as high voltage electric discharge based plasma which has already been proved to be economical and highly efficient in Industrial Electrostatic Precipitators. Till now all the research regarding control of NOx has been done at the laboratory level using conventional DC and rotary spark gap based high voltage power supply. However, this is not a feasible option for Automobiles. The objective of this thesis is, therefore, to design and fabricate a solar powered high voltage power supply to be retrofitted into a vehicle. This leads to the development of power supply which will be of smaller size & capable of supplying high voltage to the gas treatment reactor. In the present work emphasis has been made on the design and development of a DC/HVAC power unit based on switch mode power supply approach. The thesis mainly presents the following issues:  Design & fabrication of solar powered high voltage high frequency power supply for the production of Electric Discharge Plasma.  Actual diesel exhausts treatment with the Electric Discharge Plasma.  Exhaust treatment with conventional 3 way CAT.  Exhaust treatment with cascaded plasma & catalyst/adsorbent system  Comparative analysis. The high voltage power supply gives an output of 16kV peak to peak at 12.2 kHz with a 50W power rating. This high frequency high voltage is applied to the gas treatment reactor and studies on actual diesel exhaust cleaning were carried out. It was observed that there was substantial improvement in the NOx removal under this high frequency AC application when compared to conventional 3-way catalytic converter. Studies have also been carried out at different engine loads and a comparative analysis has been made by cascading the NTP with adsorbents & catalysts and results as discussed in detail.

As a result of the changing needs of society since the early 20th century, approaches to transportation planning have been continually shifting from highway-focused to multimodal, an approach which takes multiple modes of transportation into consideration. This evolution has been reflected in federal transportation legislation and continues to have many implications for transportation agencies, especially state departments of transportation (DOTs). The objective of this thesis is to analyze what state DOTs have done in order to adapt to the shift. More specifically, the project focuses on the organizational and funding structures of state DOTs. First, an organizational structure analysis of all 50 state DOTs was carried out. This analysis looked at how state DOTs incorporate multiple modes of transportation into their organizational structure. Secondly, the results of a statewide multimodal planning survey, to which 35 states responded, were analyzed. The survey gauged to what extent the representative from a given state DOT thought that their agency was conducting multimodal transportation planning. It also analyzed state DOT modal responsibilities, funding options, and characteristics that influence multimodal transportation planning. Lastly, case studies were carried out for six state transportation agencies: Florida DOT, North Carolina DOT, Oregon DOT, Virginia's Transportation Secretariat, Maryland DOT, and Massachusetts DOT. These case studies focused on organizational structure, funding, and multimodal efforts. Findings from the three different aspects of this thesis support the notion that highway is still the dominant mode in statewide transportation planning in most state DOTs. However, this research also supports the idea that this situation is changing, though more rapidly in some states than in others. Though it is not evident that one type of organizational structure is better than another, states have used the reorganization of these structures as a method for adapting to multimodal transportation planning. Overall, state DOTs tend to incorporate multiple modes of transportation into their organizational structure through multimodal divisions, separate modal divisions, or a combination of both. In addition to the organizational structures, some states have also restructured their funding mechanisms in order to make funds more flexible across all modes of transportation so that they may be able to better accommodate multimodal transportation planning. Those state DOTs with transportation trust funds and separate modal programs have generally shown more initiative in embracing a more multimodal approach to transportation planning. Besides organizational and funding structures, leadership, organizational culture, and institutional issues have been recognized as factors that influence the extent of multimodal planning.

Traffic signs, which are extremely important for traffic safety, aims to regulate traffic by providing information about the characteristics of road and road environment for drivers. The success of traffic signs mainly rely on the easy comprehensibility of its meaning in a short time. Further more, today&rsquo / s global economies and transportation systems emphasize the need for more universial traffic signs which was the main motivation of two main treaties on traffic signs / Vienna Convetion in 1968 and European Aggreement Treaty in 1971, which are signed and followed by Turkey. For an effort to increase traffic safety, a Subcommittee of the Turkish Highway Traffic Safety (THTS) Council requested the determination of comprehensibility of critical signs with higher probability of impact on traffic safety selected by a group of experts from engineers and law enforcement agencies in a survey study. The survey questionnaire included 30 selected traffic signs (including two prohibition signs omitting oblique bar recently changed as a part of the European Union Participation Process) and 9 control group signs, a total of 39 traffic signs, and driver characteristic questions, such as gender, age, educational background, etc. to reveal insights about a) the level of comprehensibility of different groups of traffic signs and and b) driver characteristics that may affect the comprehensibility of these signs. A pilot study in the city of Ankara is conducted over a sample of 1,478 surveys. Answers for the meaning of each sign are coded using a scale of five (opposite, wrong, no comment, partially correct and correct responses). The results showed that the control group signs have very high comprehensibility as expected, while some of the critical signs were not known much, or mistaken for others, even mistaken for opposite meanings. The certain loss of comprehensibility of the traffic signs changed recently is seen in the comparative analysis of the signs before and after the change, as well as significant shift towards an opposite meaning. The significance of driver characteristics (gender, education, occupation etc.) affecting the comprehensibility of the traffic signs varies among traffic signs and characteristics. As the result of this study, (THTS) Council decided to support traffic and driver education more and mass promotion of mis- or un-comprehended signs without searching for more local solutions or versions.

The term physical accessibility has widely been used by geographers, economists and urban planners and basically reflects the relative ease of access to/from several urban/rural services by considering various travelling costs. Numerous accessibility measures, ranging from simple to sophisticated, can be found in the GIS based accessibility modeling literature. However, whether simple or sophisticated, one of the fundamental shortcomings of the current GIS-based accessibility measures is that they are generally calculated from a fixed catchment area boundary based on constant traveling costs such as Euclidian (bird-flight) distance costs or transportation network-based average speed costs (e.g. 50 km/h for main streets and 30 km/h for local streets, etc.). Although such deterministic approaches are widely used in GIS-based accessibility modeling literature, they are not realistic, especially due to highly variable speeds in road segments and uncertainty in the accuracy and reliability of the accessibility measures. Therefore, this dissertation provides a new stochastic methodology for GIS-based accessibility modeling process by using GPS-based floating car data and Monte Carlo Simulation (MCS) that could handle variations in traveling costs and consider all possible catchment area boundaries, instead of one average or maximum fixed catchment area boundary. The main contribution of the research is that / the proposed physical accessibility modeling could handle uncertainties in transportation costs, create significant improvement on accuracy and reliability of accessibility measures in terms of catchment area boundaries and support decision makers who are supposed to deal with accessibility, location/allocation and service/catchment area related issues. The proposed stochastic methodology is implemented to a case study on medical emergency service accessibility, in Eskisehir, Turkey and the results of the deterministic and stochastic accessibility models are compared. The main focus of the case study is not to evaluate a specific accessibility condition in a detailed manner but to provide a methodological discussion and comparison between the deterministic and stochastic accessibility modeling process. With the implementation to a case study, it is shown that / the results of the proposed methodology are more realistic than the conventional deterministic approaches.

This research develops a framework to estimate the effective sample size of Global Positioning System (GPS) based panel surveys in urban travel behavior studies for a variety of planning purposes. Recent advances in GPS monitoring technologies have made it possible to implement panel surveys with lengths of weeks, months or even years. The many advantageous features of GPS-based panel surveys make such surveys attractive for travel behavior studies, but the higher cost of such surveys compared to conventional one-day or two-day paper diary surveys requires scrutiny at the sample size planning stage to ensure cost-effectiveness. The sample size analysis in this dissertation focuses on three major aspects in travel behavior studies: 1) to obtain reliable means for key travel behavior variables, 2) to conduct regression analysis on key travel behavior variables against explanatory variables such as demographic characteristics and seasonal factors, and 3) to examine impacts of a policy measure on travel behavior through before-and-after studies. The sample size analyses in this dissertation are based on the GPS data collected in the multi-year Commute Atlanta study. The sample size analysis with regard to obtaining reliable means for key travel behavior variables utilizes Monte Carlo re-sampling techniques to assess the trend of means against various sample size and survey length combinations. The basis for the framework and methods of sample size estimation related to regression analysis and before-and-after studies are derived from various sample size procedures based on the generalized estimating equation (GEE) method. These sample size procedures have been proposed for longitudinal studies in biomedical research. This dissertation adapts these procedures to the design of panel surveys for urban travel behavior studies with the information made available from the Commute Atlanta study. The findings from this research indicate that the required sample sizes should be much larger than the sample sizes in existing GPS-based panel surveys. This research recommends a desired range of sample sizes based on the objectives and survey lengths of urban travel behavior studies.

Planning for transportation within northern Canadian communities presents unique challenges, but new research tools offer opportunities for testing potentially innovative solutions that might help improve mobility within these communities. In particular, problem solving has been enriched in recent years by using the spatial modeling methods offered by Geographical Information Systems (GIS). This thesis first reviews various GIS methods before applying one method – the ‘Route Utility Theory’ – to a newly-developed set of metrics for determining the cost of alternate modes of intracommunity transportation. This set of metrics is applied to a data set that represents the trips or journeys made by non-car users in Iqaluit, the capital city of Nunavut Territory. GIS data on roads, walking trails, land contours, and public and residential neighbourhoods are analyzed. The results facilitate comparisons between road options and trail options for improving the movement of people within Iqaluit. Five bus routes were then custom designed and compared using the study’s metrics. The study found that increasing bus and trail options within Iqaluit would provide more efficient options for non-car users. It is argued that the study’s metrics can be adapted for application in other northern communities, and possibly in other isolated and rural communities in different world situations. / Graduate

The negative social and economic results of traffic accidents are the most serious problems within the concept of traffic safety. Every year, unfortunately, a huge number of traffic accidents result in destructive losses. Especially, when the holiness of human life is concerned, traffic safety has an invaluable role for the traffic improvement strategies. In this manner, Turkey places one of the highest ranks regarding the growing rate and severity of traffic accidents that should be immediately taken under control. In this study, an innovative model that constructs a hybrid between the spatial and statistical analyses is developed in order to examine the importance of enhancing statistical analysis with georeferenced data and so location-based studies in traffic accident analysis. Meanwhile, the effects of road characteristic and environment are considered for exploring the integral role of roadway factor to the occurrence of accidents, and consequently for emphasizing easily applicable and controllable engineering safety measures. Because of the rare and random distribution of traffic accident data, logistic regression is used for the statistical part of the study in order to find the pairwise risk factors among the roadway and environmental parameters. After unifying these relative risk factors with the logic of Analytic Hierarchy Process, the finalized accident risk factors are attached to the digitized road characteristics map through Geographic Information Systems (GIS). The abilities of GIS in mapping, displaying and overlaying different data sets ensure to visualize high risked accident areas with their corresponding potential causal factors. The integration of statistical and spatial analyses is essential for developing appropriate and effective precautions in addition to its easily understandable, applicable and modifiable structure. Finally, the model is proven to be appropriate for both interpreting the existing traffic accident problem or potential future accidents and also developing comprehensive and reliable location-based safety studies.

Managed lane refers to the application of various operational and design strategies on highway facilities to improve system efficiency and mobility by proactively allocating traffic capacity to different lanes. One of the key elements to understand the behavior changes and underlying causalities in user responses to managed lanes is to examine the value of time (VOT) and value of reliability (VOR). The breadth of this dissertation encompasses two major dimensions of VOT and VOR estimation – distributions or variations across different users and under different circumstances; and influences of unobserved attitudinal characteristics on roadway pricing valuation. To understand travelers’ choice behavior regarding the usage of managed lanes, combined revealed preference (RP) and stated preference (SP) data were used in this study. Mixed logit modeling was applied as the state of the art methodology to capture heterogeneity in users’ choice behavior. The model revealed an average value of $10.68 per hour for VOT and $13.91 per hour for VOR, which are reasonable considering the average household income in the region, and are well within the ranges found in the literature. In terms of user heterogeneity, the mixed logit model was further enhanced by adding interaction effects of variables, which helped recognize and quantify potential sources of heterogeneity in user sensitivities to time, reliability, and cost. The findings indicated that travelers were likely to exhibit higher willingness to pay when they were female, younger (years), older (>54 years), had higher income (> 50 K), driving alone, and traveled on weekdays. Attitudinal aspects are rarely incorporated into roadway pricing analysis. The study herein presents an effort to explore the role of attitudinal factors in drivers’ propensity toward using managed lanes. Model results boded for a significant contribution of attitudinal parameters in the model, both in terms of coefficients and model performance. This study provides a robust approach to quantify user heterogeneity in VOT and VOR and capture the impacts of attitudinal attributes in pricing valuation. The results of this study contribute to a better understanding on what attributes lead to higher or lower VOT and VOR and to what extent.

Hazardous materials are substances that, if not regulated, can pose a threat to human populations and their environmental health, safety or property when transported in commerce. About 1.5 million tons of hazardous material shipments are transported by truck in the US annually, with a steady increase of approximately 5% per year. The objective of this study was to develop a routing tool for hazardous material transport in order to facilitate reduced environmental impacts and less transportation difficulties, yet would also find paths that were still compelling for the shipping carriers as a matter of trucking cost. The study started with identification of inhalation hazard impact zones and explosion protective areas around the location of hypothetical hazardous material releases, considering different parameters (i.e., chemicals characteristics, release quantities, atmospheric condition, etc.). Results showed that depending on the quantity of release, chemical, and atmospheric stability (a function of wind speed, meteorology, sky cover, time and location of accidents, etc.) the consequence of these incidents can differ. The study was extended by selection of other evaluation criteria for further investigation because health risk as an evaluation criterion would not be the only concern in selection of routes. Transportation difficulties (i.e., road blockage and congestion) were incorporated as important factor due to their indirect impact/cost on the users of transportation networks. Trucking costs were also considered as one of the primary criteria in selection of hazardous material paths; otherwise the suggested routes would have not been convincing for the shipping companies. The last but not least criterion was proximity of public places to the routes. The approach evolved from a simple framework to a complicated and efficient GIS-based tool able to investigate transportation networks of any given study area, and capable of generating best routing options for cargos. The suggested tool uses a multi-criteria-decision-making method, which considers the priorities of the decision makers in choosing the cargo routes. Comparison of the routing options based on each criterion and also the overall suitableness of the path in regards to all the criteria (using a multi-criteria-decision-making method) showed that using similar tools as the one proposed by this study can provide decision makers insights in the area of hazardous material transport. This tool shows the probable consequences of considering each path in a very easily understandable way; in the formats of maps and tables, which makes the tradeoffs of costs and risks considerably simpler, as in some cases slightly compromising on trucking cost may drastically decrease the probable health risk and/or traffic difficulties. This will not only be rewarding to the community by making cities safer places to live, but also can be beneficial to shipping companies by allowing them to advertise as environmental friendly conveyors.

An increase in the demand for the freight shipping in the United States has been predicted for the near future and Longer Combination Vehicles (LCVs), which can carry more loads in each trip, seem like a good solution for the problem. Currently, utilizing LCVs is not permitted in most states of the US and little research has been conducted on the effects of these heavy vehicles on the roads and bridges. In this research, efforts are made to study these effects by comparing the dynamic and fatigue effects of LCVs with more common trucks. Ten Steel and prestressed concrete bridges with span lengths ranging from 30’ to 140’ are designed and modeled using the grid system in MATLAB. Additionally, three more real bridges including two single span simply supported steel bridges and a three span continuous steel bridge are modeled using the same MATLAB code. The equations of motion of three LCVs as well as eight other trucks are derived and these vehicles are subjected to different road surface conditions and bumps on the roads and the designed and real bridges. By forming the bridge equations of motion using the mass, stiffness and damping matrices and considering the interaction between the truck and the bridge, the differential equations are solved using the ODE solver in MATLAB and the results of the forces in tires as well as the deflections and moments in the bridge members are obtained. The results of this study show that for most of the bridges, LCVs result in the smallest values of Dynamic Amplification Factor (DAF) whereas the Single Unit Trucks cause the highest values of DAF when traveling on the bridges. Also in most cases, the values of DAF are observed to be smaller than the 33% threshold suggested by the design code. Additionally, fatigue analysis of the bridges in this study confirms that by replacing the current truck traffic with higher capacity LCVs, in most cases, the remaining fatigue life of the bridge is only slightly decreased which means that taking advantage of these larger vehicles can be a viable option for decision makers.