Transportation Commons^™

Slides: Envirofit: Making The World Fit For Humanity, Jessica Alderman

2012 Energy Justice Conference and Technology Exposition (September 17-18)

Presenter: Jessica Alderman, Director, ENVIROFIT

15 slides

Slides: Multi-Dimensional Energy Poverty Index (Mepi), Morgan Bazilian

2012 Energy Justice Conference and Technology Exposition (September 17-18)

Presenter: Dr. Morgan Bazilian, Deputy Director, Joint Institute for Strategic Energy Analysis (JISEA), National Renewable Energy Laboratory (NREL)

8 slides

Agenda: 2012 Energy Justice Conference And Technology Exposition, University Of Colorado Boulder. Center For Energy & Environmental Security, University Of Colorado Boulder. Colorado European Union Center Of Excellence, University Of Colorado Boulder. Presidents Leadership Institute

2012 Energy Justice Conference and Technology Exposition (September 17-18)

Co-sponsored with the Colorado European Union Center of Excellence and the Presidents Leadership Institute at the University of Colorado Boulder.

The ability to harness energy is fundamental to economic and social development. Worldwide, almost 3 billion people have little or no access to beneficial energy resources for cooking, heating, water sanitation, illumination, transportation, or basic mechanical needs. Energy poverty exacerbates ill health and economic hardship, and reduces educational opportunities, particularly for women and children. Specifically, access to efficient and affordable energy services is a prerequisite for achieving the Millennium Development Goal (MDG) relating to poverty eradication.

In response, the UN …

Slides: Appropriate Sustainable Energy Technologies: A Light To The World, Lakshman D. Guruswamy, Jason B. Aamodt, Blake Feamster

2012 Energy Justice Conference and Technology Exposition (September 17-18)

Presenter: Jason Aamodt, Attorney; Adjunct Professor, University of Tulsa

15 slides

Slides: Meeting The Needs Of Women Through Clean Cooking Solutions, Corinne Hart

2012 Energy Justice Conference and Technology Exposition (September 17-18)

Presenter: Corinne Hart, Program Manager, Gender and Markets, Global Alliance for Clean Cookstoves

20 slides

Slides: Draft Power In Developing Country Agriculture--South Asia, Arjun Makhijani

2012 Energy Justice Conference and Technology Exposition (September 17-18)

Presenter: Dr. Arjun Makhijani, President, Institute for Energy and Environmental Research (IEER)

13 slides

Slides: Sources Of Electrical Energy For Those Who Are Remote And Poor, Frank Barnes

2012 Energy Justice Conference and Technology Exposition (September 17-18)

Presenter: Dr. Frank Barnes, Distinguished Professor, Electrical, Computer, and Energy Engineering, University of Colorado

24 slides

Slides: Impacts Of Energy Deficits In Cooking, Illumination, Water, Sanitation, And Motive Power, Paul S. Chinowsky

2012 Energy Justice Conference and Technology Exposition (September 17-18)

Presenter: Dr. Paul Chinowsky, Director, Mortenson Center in Engineering for Developing Communities; Professor, University of Colorado

25 slides

Slides: The Green Climate Fund: Challenges And Opportunities: Some Thoughts On How The Green Climate Fund Could Close The Energy Justice Gap, Martin Hiller

2012 Energy Justice Conference and Technology Exposition (September 17-18)

Presenter: Martin Hiller, Director‐General, Renewable Energy and Energy Efficiency Partnership (REEEP), Vienna, Austria

22 slides

Slides: Nokero: Power To The Powerless, Stephen Katsaros

2012 Energy Justice Conference and Technology Exposition (September 17-18)

Presenter: Stephen Katsaros, Inventor, Founder, and CEO, Nokero

13 slides

Slides: Session 3: Decision-Making And The Energy Poor, Andrew Yager

2012 Energy Justice Conference and Technology Exposition (September 17-18)

Presenter: Andrew Yager, United Nations Department of Economic and Social Affairs, Division for Sustainable Development

33 slides

Slides: Unido: Partner For Prosperity, Kandeh K. Yumkella

2012 Energy Justice Conference and Technology Exposition (September 17-18)

Presenter: Dr. Kandeh Yumkella, Chairman, UN Energy; Director General, United Nations Industrial Development Organization (UNIDO)

16 slides

Value Of Travel Time Reliability Part Ii: A Study Of Tradeoffs Between Travel Reliability, Congestion Mitigation Strategies And Emissions, Miguel A. Figliozzi, Alexander Y. Bigazzi

Civil and Environmental Engineering Faculty Publications and Presentations

Capacity, demand, and vehicle based emissions reduction strategies are compared for several pollutants employing aggregate US congestion and vehicle fleet condition data. We find that congestion mitigation does not inevitably lead to reduced emissions; the net effect of mitigation depends on the balance of induced travel demand and increased vehicle efficiency that in turn depend on the pollutant, congestion level, and fleet composition. In the long run, capacity-based congestion improvements within certain speed intervals can reasonably be expected to increase emissions of CO2e, CO, and NOx through increased vehicle travel volume. Better opportunities for emissions reductions exist for HC and …

Study On Optimal Dwell Time At Jakarta International Container Terminal, Siti Nurrochmah Badrudin

World Maritime University Dissertations

No abstract provided.

Container-Handling Operation Optimization At Koja Container Terminal, Moh Taufik Hidayat

World Maritime University Dissertations

No abstract provided.

Freight Forecasting Of Dry Bulk Market Based On The Bp Neural Network, Qianran Huang

World Maritime University Dissertations

No abstract provided.

Risk Measurement Of Coal Freight Rates Based On Value-At-Risk, Zhenxing Pu

World Maritime University Dissertations

No abstract provided.

Research On Risk Management Of Ship Financial Leasing In Cimc Financial Leasing Company, Zhangcheng Shi

World Maritime University Dissertations

No abstract provided.

The Application Of Shipping Freight Derivatives For Evading Risk In The Capesize Shipping Market, Jiayi Zheng

World Maritime University Dissertations

No abstract provided.

The Rationality Study On Capacity Allocation For Cscl’S Asia-Europe Route, Yan Zhou

World Maritime University Dissertations

No abstract provided.

Financial Feasibility Analysis Of Ship Sale-Leaseback Base On Excel Model, Xi Lin

World Maritime University Dissertations

No abstract provided.

Toward Large-Scale Agent Guidance In An Urban Taxi Service, Agussurja Lucas, Hoong Chuin Lau

Research Collection School Of Computing and Information Systems

Empty taxi cruising represents a wastage of resources in the context of urban taxi services. In this work, we seek to minimize such wastage. An analysis of a large trace of taxi operations reveals that the services’ inefficiency is caused by drivers’ greedy cruising behavior. We model the existing system as a continuous time Markov chain. To address the problem, we propose that each taxi be equipped with an intelligent agent that will guide the driver when cruising for passengers. Then, drawing from AI literature on multiagent planning, we explore two possible ways to compute such guidance. The first formulation …

Operational Guidance For Bicycle-Specific Traffic Signals In The United States, Christopher Monsere, Miguel A. Figliozzi, Sam Thompson, Kirk Paulsen

Civil and Environmental Engineering Faculty Publications and Presentations

The research consisted of two phases: 1) a synthesis of practice and 2) and analysis of cyclist performance characteristics. The synthesis of current practice reviewed the literature, current engineering design and operational guidance documents, and surveyed the jurisdictions about their current deployments of bicyclespecific signals. This report summarizes research of cyclist behavior at signalized intersections in Portland, Eugene, Corvallis, Beaverton and Clackamas County, OR. These signals had both bicycle-specific indications and vehicle-only signals. A total of 4,673cyclists were observed. For each cyclist observed arriving on red, a set of descriptive variables were collected (e.g., age, sex, helmet use, presence of …

The Patrol Scheduling Problem, Hoong Chuin Lau, Aldy Gunawan

Research Collection School Of Computing and Information Systems

This paper presents the problem of scheduling security teams to patrol a mass rapid transit rail network of a large urban city. The main objective of patrol scheduling is to deploy security teams to stations at varying time periods of the network subject to rostering as well as security-related constraints. We present a mathematical programming model for this problem. We then discuss the aspect of injecting randomness by varying the start times, the break times for each team as well as the number of visits required for each station according to their reported vulnerability. Finally, we present results for the …

A Study Of Headway Maintenance For Bus Routes: Causes And Effects Of “Bus Bunching” In Extensive And Congested Service Areas, Miguel A. Figliozzi, Wu-Chi Feng, Gerardo Lafferriere, Wei Feng

Civil and Environmental Engineering Faculty Publications and Presentations

A healthy and efficient public transit system is indispensable to reduce congestion, emissions, energy consumption, and car dependency in urban areas. The objective of this research is to 1) develop methods to evaluate and visualize bus service reliability for transit agencies in various temporal and spatial aggregation levels; 2) identify the recurrent unreliability trends of bus routes (focusing on high-frequency service periods) and understand their characteristics, causes and effects; and 3) model service times using linear regression models.

This research utilized six months of archived automatic vehicle location (AVL) and automatic passenger count (APC) data from a low-performance route (Route …

Real-Time Road Traffic Forecasting Using Regime-Switching Space-Time Models And Adaptive Lasso, Yiannis Kamarianakis, Wei Shen, Laura Wynter

Research Collection School Of Computing and Information Systems

Smart transportation technologies require real-time traffic prediction to be both fast and scalable to full urban networks. We discuss a method that is able to meet this challenge while accounting for nonlinear traffic dynamics and space-time dependencies of traffic variables. Nonlinearity is taken into account by a union of non-overlapping linear regimes characterized by a sequence of temporal thresholds. In each regime, for each measurement location, a penalized estimation scheme, namely the adaptive absolute shrinkage and selection operator (LASSO), is implemented to perform model selection and coefficient estimation simultaneously. Both the robust to outliers least absolute deviation estimates and conventional …

Rejoinder: Real-Time Road Traffic Forecasting Using Regime-Switching Space-Time Models And Adaptive Lasso, Yiannis Kamarianakis, Wei Shen, Laura Wynter

Research Collection School Of Computing and Information Systems

Kamarianakis et al. presented a promising application of multivariate time series analysis to the traffic condition forecasting problem in urban transportation networks. Interest is keen and growing in providing accurate predictions of link and route travel conditions, especially in the context of the burgeoning demand for ‘real-time’ traveler information. Forecasts underlying this information must be sufficiently accurate for the traveler information provided to be of tangible value. As the authors clearly pointed out, although the near ubiquitous availability of urban traffic condition data makes area-wide forecasts theoretically possible, scalability to area-wide networks and the required speed of forecast generation represent …

Analyzing And Quantifying The Impact Of Congestion On Ltl Industry Costs And Performance In The Portland Metropolitan Region, Miguel A. Figliozzi

Civil and Environmental Engineering Faculty Publications and Presentations

Increased congestion during peak morning and afternoon periods in urban areas is increasing logistics costs. In addition, environmental, social, and political pressures to limit the impacts associated with CO2 emissions are mounting rapidly. A key challenge for transportation agencies and businesses is to improve the efficiency of urban freight and commercial vehicle movements while ensuring environmental quality, livable communities, and economic growth. However, research and policy efforts to analyze and quantify the impacts of congestion and freight public policies on carriers operations and CO2 emissions are hindered by the complexities of vehicle routing problems with time-dependent travel times and the …

Demand Responsive Signal Control Strategy (Drsc) Incorporating Queue Length Information In Real-Time Signal Control, Rahul Rajbhara

Civil & Environmental Engineering Theses & Dissertations

Most of the existing vehicle detection systems, namely inductive loops, video cameras etc. are incapable of measuring the queue lengths at signalized intersections. However, with the advent of modern technology, newer detection methods such as probe vehicles equipped with wireless communications (Connected Vehicles), particularly under the Vehicle Infrastructure Integration [52), and radar detection currently provide this capability [53). This thesis presents a Demand Responsive Signal Control Strategy (termed as DRSC) for an isolated signalized intersection. The control strategy incorporates real-time queue length information (obtained from probe vehicles) into the signal control logic. Demand based maximum green time for each upcoming/new …

Exploratory Methods For Truck Re-Identification In A Statewide Network Based On Axle Weight And Axle Spacing Data To Enhance Freight Metrics: Phase Ii, Mecit Cetin, Christopher M. Monsere

Civil and Environmental Engineering Faculty Publications and Presentations

Vehicle re-identification methods can be used to anonymously match vehicles crossing two different locations based on vehicle attribute data. This research builds upon a previous study and investigates different methods for solving the re-identification problem and explores some of the factors that impact the accuracy of the results. To support this work, archived data from weigh-in-motion (WIM) stations in Oregon are used for developing, calibrating, and testing vehicle re-identification algorithms. In addition to the Bayesian approach developed by the researchers in the previous study, a neural network model is developed for solving the re-identification problem. The results from the testing …