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Updated: 41 min 29 sec ago

IDM-04 Asphalt Pavement Maintenance and Rehabilitation, Dec 7

Thu, 2017-12-07 22:36
Asphalt pavement is a major component of our transportation system. Transportation agencies at the city and county level can maximize the value of their huge investment in streets and roads by using proper pavement maintenance strategies. This course provides a solid working knowledge of the most common pavement maintenance and preservation practices. Basic principles, best field practices and safety issues are covered. This course is based on Day 3 of the IDM-03 Asphalt Pavement Materials, Design, Construction & Maintenance and is offered as a low-cost alternative to the three-day course IDM-03.

TS-03 Roadside Safety and Guardrail Systems, Dec 5

Tue, 2017-12-05 22:43
This one-day course offers students an opportunity to learn how to design more "forgiving" roadways-those that minimize hazardous installations and reduce potential for death, injury, and property damage associated with crashes. Instruction focuses on best practices in the design and evaluation of common roadside structures such as guardrails, concrete barriers, signs, light pole supports, and work-zone devices. This course is based on the AASHTO Roadside Design Guide, Caltrans Standard Plans, and the National Cooperative Highway Research Program (NCHRP) Report 350: Recommended Procedures for the Safety Performance Evaluation of Roadside Features. Video presentations illustrate various safety devices and impact attenuators, to help students understand the dynamics of roadside crashes.

TS-04 Improving Safety at Intersections, thru Dec 1

Fri, 2017-12-01 23:39
About 65 percent of all crashes in urban areas and 40 percent of those in rural areas occur at or near intersections or driveways. Safety improvements at these locations have always been a priority and pose a challenge for most transportation agencies in California. Because crashes are typically complex events, a great diversity of mitigation measures have been tried with varying degrees of success, including the modern round-about. This workshop offers a range of guidelines, solutions, and strategies for reducing conflicts and crashes at intersection locations. Safety improvements appropriate for both urban and rural areas are explored.

Transportation Futures: Integrating transportation, land use, and environmental planning for sustainable urban development, Dec 1

Fri, 2017-12-01 23:39
Concerns about global warming, economic disparity, social exclusion, and threatened shortages of water and energy have emerged on policy agendas throughout the world, and the need for aggressive intervention along all fronts has become increasingly apparent. In this presentation, Elizabeth Deakin will discuss policies and practices linking transportation, land use, and environmental planning with the objective of achieving sustainable development - a healthy environment, a thriving economy, and a more equitable and inclusive society. She will examine how regional and local planning practices are changing to reflect new demographic and economic trends and environmental and social challenges, and review and assess best practices and emerging scenarios on how to improve the performance of cities’ and regions’ transport systems, ranging from investments in transit and nonmotorized travel modes, to mixed use and higher density urban development, to radically transformed vehicles and transportation systems enabled by emerging technological innovations.



Elizabeth Deakin is Professor Emerita of City and Regional Planning and Urban Design at the University of California, Berkeley, where she taught and carried out research on transportation, land use and environmental planning for three decades. She served as the Director of the UC Transportation Center from 1999-2009 and as Co-Director of the Global Metropolitan Studies Center from 2004-2009. She has written nearly 300 journal articles, book chapters, papers and research reports during her academic career. She is co-author of the handbook, Residential Street Design and Traffic Control (with Wolf Homburger, Peter Bosselman, Daniel Smith and Bert Beukers), published in English and Italian, and co-editor of the 2017 edited volume, High Speed Rail and Sustainability (with Blas Perez Henriquez). She has advised numerous city, state, and national governments on transportation, urban development, and environmental issues and has served as an appointed official for state and local government. Deakin holds SB and SM degrees from the Massachusetts Institute of Technology and a JD from Boston College Law School. In 2010 she was awarded an Honorary PhD from the Royal Institute of Technology in Stockholm (KTH) for her contributions to research in the fields of transportation and the environment. She also was awarded an honorary professorship at Shandong University in the PRC in recognition of her contributions to sustainable development planning for Chinese cities. Currently, she is conducting research, advising students, and editing Access magazine at UC.

TS-04 Improving Safety at Intersections, thru Dec 1

Thu, 2017-11-30 23:37
About 65 percent of all crashes in urban areas and 40 percent of those in rural areas occur at or near intersections or driveways. Safety improvements at these locations have always been a priority and pose a challenge for most transportation agencies in California. Because crashes are typically complex events, a great diversity of mitigation measures have been tried with varying degrees of success, including the modern round-about. This workshop offers a range of guidelines, solutions, and strategies for reducing conflicts and crashes at intersection locations. Safety improvements appropriate for both urban and rural areas are explored.

GraphXD Seminar, Nov 30

Thu, 2017-11-30 23:37
Learning models from data has a significant impact on many disciplines, including computer vision, medical imaging, social networks, neuroscience and signal processing. In the network inference problem, one may model the relationships between the network components through an underlying inverse covariance matrix. Learning this graphical model is often challenged by the fact that only a small number of samples are available. Despite the popularity of graphical lasso for solving this problem, there is not much known about the properties of this statistical method as an optimization algorithm. In this talk, we will develop new notions of sign-consistent matrices and inverse-consistent matrices to obtain key properties of graphical lasso. In particular, we will prove that although the complexity of solving graphical lasso is high, the sparsity pattern of its solution has a simple formula if a sparse graphical model is sought. Besides graphical lasso, there are several techniques for learning graphical models. We will design an optimization-based mathematical framework to study the performance of various techniques. We will illustrate our results in different case studies.

TS-04 Improving Safety at Intersections, Nov 29-Dec 1

Wed, 2017-11-29 22:39
About 65 percent of all crashes in urban areas and 40 percent of those in rural areas occur at or near intersections or driveways. Safety improvements at these locations have always been a priority and pose a challenge for most transportation agencies in California. Because crashes are typically complex events, a great diversity of mitigation measures have been tried with varying degrees of success, including the modern round-about. This workshop offers a range of guidelines, solutions, and strategies for reducing conflicts and crashes at intersection locations. Safety improvements appropriate for both urban and rural areas are explored.

How Ride-Sharing Technology is Impacting Transportation in Africa: The case of Uber in Nairobi, Nov 17

Fri, 2017-11-17 23:34
As ride-sharing technology companies enter the African Continent to tap into its market of one billion people, African cities are adopting and responding to the technology in different ways. Looking at Kenya, a country that prides itself as the tech hub of Africa, there has been wide-spread adoption of Uber — but not without significant opposition from certain transportation stakeholders. What are the factors that have influenced this adoption of ride-sharing technology as a mode of transportation in Nairobi, and how has government responded to opposition to the disrupter in the transport industry? In addition, are there factors that are influencing Uber’s impact on the workforce in Kenya as compared to the US?


Biography
Kagure Wamunyu is a Sustainable Urban Development PhD student at Oxford University doing her research on the impact of ride-sharing technology on transportation in Africa. Kagure has worked in the ride-sharing industry where she joined Uber in 2015 as the operations and logistics manager for Nairobi and rose to Country Manager for Uber in Kenya, a position she held before leaving the company in July 2017.

Kagure also currently works as the Senior Director for Strategy for East Africa for Bridge International Schools, a social impact organization that seeks to provide access to education to the low income in Africa and Asia. She also previously worked as a research assistant at the Institute of transportation Research and Education and North Carolina State University.

Kagure is a Berkeley MCP alumna (class of 2015) and holds a BSC in Civil Engineering from NC State and a BA in Mathematics from Meredith College.

Precarity and Dependence in the "Sharing" Economy, Nov 16

Thu, 2017-11-16 23:40
The sharing economy debuted to grand claims about its ability to change the world for the good--it would encourage social connection, use assets more efficiently, and be better for the environment. For earners on platforms, it promised flexibility, freedom and the ability to become a "micro-entrepreneur." Ten years in, the reality is far more complex. In this talk, Schor discusses her interview-based research with workers on six platforms, and argues that contrary to the expectations of both boosters and critics, outcomes are highly diverse, and depend to a large extent on workers' non-platform economic situations. The discussion will be moderated by Annette Bernhardt from the UC Berkeley Labor Center and Professor Ruth Collier from the UC Berkeley Political Science Department, and will be followed by a reception.

Please register to secure your spot.

Juliet Schor is a sociologist at Boston College. Her work focuses on consumer society, sustainable consumption, new economies, and overwork. A former Guggenheim Fellow, she has served as a consultant to the United Nations.

Ruth Berins Collier teaches political science at UC Berkeley. Her research, across Latin America, Africa, and Europe, has focused on popular participation, political regime change, and labor politics.

Annette Bernhardt directs the Low-Wage Work Program at IRLE’s Labor Center. She focuses on domestic outsourcing, the gig economy, and the impact of new technologies on low-wage work.

Mobility Innovators Forum 2017, Nov 14

Tue, 2017-11-14 22:38
Leaders in the mobility industry will convene to discuss the opportunities and challenges that lie ahead. Panels and talks will cover new forms of mobility, new mobility business models and the infrastructure supporting the mobility ecosystem.

Individuals with a UC Berkeley affiliation can RSVP for free using the promo code GoBears.

Transportation Mixer, Nov 8

Wed, 2017-11-08 22:42
On Nov. 8 at 5 pm, there will be a Transportation Mixer in the 4th floor ITS Library for transportation faculty & staff, students, and professionals. Please come socialize with our undergraduate, masters, and PhD students, past graduates, and other ITS faculty and staff. Cal ITE, a transportation student group, will be funding the event and there will be food and beverages provided!

Optimal Coordination of Connected and Autonomous Cars in Smart Cities, Nov 3

Fri, 2017-11-03 22:39
Connectivity and autonomy of cars and roadside infrastructure is expected to transform urban transportation. For instance, cooperation between intelligent cars and intersection control units can harmonize traffic flow, increase energy efficiency, and enhance safety and passenger comfort.

This talk takes a closer look at some of these potentials. In one experimental case study, we demonstrate that coordination of movement of human-driven connected cars with traffic signals reduces idling and fuel consumption. In this case study we successfully “crowd-source” traffic signal timings from statistical patterns in motion of connected vehicles in the city of San Francisco. We also discuss the communication protocols and backend computing architecture that we have in place for collecting and processing vehicular data in near real-time and relaying the processed information to subscribing vehicles.

Benefits are expected to be higher with autonomous cars where absence of a human driver promises more predictability and precise control. In the second part of this talk, we formulate a novel intersection control concept for autonomous cars in smart cities that does not rely on conventional traffic signals. Arrivals of autonomous cars at the intersection are optimally scheduled to reduce delay. The benefits are shown in simulated scenarios and also in a vehicle-in-the-loop experiment.

Biographical Sketch:
Ardalan Vahidi is a Professor of Mechanical Engineering at Clemson University, South Carolina. He received his Ph.D. in mechanical engineering from the University of Michigan, Ann Arbor, in 2005, M.Sc. in transportation safety from George Washington University, Washington, DC, in 2002, and B.S. and M.Sc. in civil engineering from Sharif University, Tehran in 1996 and 1998, respectively. In 2012–2013 he was a Visiting Scholar at the University of California, Berkeley. He has also held scientific visiting positions at BMW Technology Office in California, and at IFP Energies Nouvelles, in France. His research is at the intersection of energy, vehicular systems, and automatic control. His recent publications span topics in alternative vehicle powertrains, intelligent transportation systems, and connected and autonomous vehicle technologies.

TE-53 VMT Metrics Application and Analysis for SB 743 Compliance, Nov 2

Thu, 2017-11-02 21:38
OPR has selected vehicle-miles-of-travel (VMT) as the preferred metric to comply with Senate Bill 743 (SB 743). The recommended changes to the CEQA Guidelines include a Technical Advisory that provides recommendations about VMT screening, methodology, and thresholds. These recommendations require fundamental changes in current transportation impact analysis practices and have implications for transportation planning as part of general plans and regional transportation plans. This course will explain the technical details of how to address these changes and include detailed step-by-step flow-chart explanations of how to analyze land use projects, transportation projects, land use plans (e.g., general plans), and regional transportation plans under SB 743.

Topics Include
Role of VMT in environmental impact analysis versus transportation planning
VMT estimation and forecasting methods
-Data and models
-Project versus cumulative analysis
-Differences in methods for energy, air quality, GHG, and transportation impacts
-Induced Travel
Role of the ARB's Mobile Source Strategy in establishing substantial evidence for significance thresholds
Role of RTPs and general plans in setting significance thresholds
Mitigation sources, strategies, and limitations

What You Will Learn
Students will obtain a rich set of information to help them navigate SB 743 compliance.
How to estimate and forecast VMT using a variety of methods and what limitations apply.
How to relate VMT reduction goals across technical topic areas including energy, air quality, greenhouse gases, and transportation.
What forms of VMT are most useful in measuring transportation impacts.
What decisions are required to select appropriate thresholds and what constitutes substantial evidence to support these decisions.

Who Should Attend
This course is intended for planners, engineers, policy analysts, and CEQA practitioners, among others, in private or public practice who want to understand the technical details associated with SB 743 implementation and the fundamental changes in current transportation impact analysis practices.

The Search for a Sustainable Source of Federal and State Transportation Revenue: Gas taxes or mileage fees?, Oct 27

Fri, 2017-10-27 22:32
For almost a century, gas taxes have generated substantial revenues for building and operating the transportation system, but these user fees are unlikely to keep serving that function as well in the future. This talk will examine the relative benefits of raising the gas tax versus adopting a new "mileage fee." After presenting a policy evaluation framework specific to transportation revenue sources, Professor Agrawal will present a quick sketch analysis of gas taxes and mileage fees. Then, the talk will delve deeper into the questions of political feasibility and public opinion, presenting findings from her original public opinion research on gas taxes and mileage fees, including the results of eight annual national surveys and an NCHRP synthesis study.


Bio: Asha Weinstein Agrawal is Director of MTI’s National Transportation Finance Center at San José State University, and Professor of Urban and Regional Planning (also at SJSU). Her research agenda is guided by a commitment to the principles of sustainability and equity: what planning and policy tools can communities adopt to encourage environmentally-friendly travel and improve accessibility for people struggling with poverty or other disadvantages? She has explored this question most deeply through two substantive areas, transportation finance policy and the travel behavior of pedestrians, cyclists, and transit riders. She also works in the area of urban history and is currently Chair of the Transportation Research Board’s Committee on Transportation History. Dr. Agrawal earned a B.A. from Harvard University in Folklore and Mythology, an M.Sc. from the London School of Economics and Political Science in Urban and Regional Planning, and a Ph.D. from the University of California, Berkeley, in City and Regional Planning. More information about her work, including publications, is at
www.sjsu.edu/urbanplanning/facstaff/AshaWeinsteinAgrawal/

FlexPass: Incentives for reducing employee parking, Oct 20

Fri, 2017-10-20 22:33
Most employers offer free or underpriced parking to employees even as they feel the pressure to reduce the number of employees driving alone to work. The FlexPass study is a parking incentive program that avoids employee discontent. We conducted a two-phase study during the year of 2015 and 2016, the FlexPass and FlexPass-Plus study.

The FlexPass study explores a new kind of employee parking permit, the FlexPass, that incentivizes employees to reduce parking. Most employees of the University of California, Berkeley buy a monthly parking permit with pre-tax dollars. The FlexPass is the same, but then refunds this money to the employee in proportion to the number of working days not parked each month. The causal power of this new parking commodity is revealed by a randomized controlled trial. The trial has built a smartphone app that collects longitudinal daily parking usage and location data from each employee. We find that the FlexPass treatment reduced employee parking demand by a barely significant effect of 4.2%. The reductions have required refunds of $27 per employee over a 3 month period. We find that unbundling a monthly employee parking permit reduces parking by making employees mindful of daily parking usage.

The question then arises: what will be the treatment effect if incentives are provided at higher level, and what is the optimal rebate value to achieve certain operation goals? To understand the value of parking and explore various incentive levels, we designed the FlexPass-Plus study. In the FlexPass-Plus study, subjects enter their willingness to accept (WTA) to forgo parking through daily second price auctions. The FlexPass-Plus study proved a direct measurement of the population-level demand curve. From the longitudinal auction data, Individual-level WTA curves are built up. Performance-based incentive schemes are then designed.

Bio:
Born and raised in Nanjing, China, Dounan Tang earned his bachelor's degree in civil engineering from Southeast University in his hometown. He came to UC Berkeley to pursue his Ph.D. degree in Transportation Engineering. He is also enrolled in the M.A. program in the Department of Economics at Berkeley. Dounan’s research interests include conducting field experiments to measure and change travel behavior, particularly to reduce employee parking by monetary incentives.

GraphXD Seminar, Oct 19

Thu, 2017-10-19 21:30
Many important properties of an undirected graph manifest themselves spectrally in the eigenvalues or quadratic forms of matrices related to the graph. For instance, the connectivity structure, electrical properties, and random walk behavior of a graph are determined by its Laplacian matrix. A spectral sparsifier of a graph G is a sparse graph H on the same set of vertices such that the Laplacians of H and G are close, so that H captures the spectral behavior of G while being much cheaper to store and perform computations on. We survey a line of work showing that spectral sparsifiers with constant degree exist for every graph and can be computed efficiently.

Designing Automated Vehicles to Avoid Collisions (and Make Good Decisions When They Can’t), Oct 13

Fri, 2017-10-13 22:33
Automated vehicles provide an unparalleled opportunity to reduce the approximately 35,000 fatalities that occur each year on US roads. With the ability to sense 360 degrees around the vehicle, avoid distraction, and react within milliseconds, automated vehicles possess some inherent advantages over human drivers when it comes to avoiding collisions. To realize this potential, however, the cars must be explicitly designed to make full use of these advantages when designing and executing maneuvers.

For inspiration, we have been studying race car drivers, who are able to routinely handle cars safely at the very limits of their handling capabilities. By working with expert drivers and measuring their performance on the track, we have developed automated vehicles capable of lapping a track in less time than a champion amateur driver and drifting through courses with a precision exceeding human capability. More importantly, these interactions with the best human drivers have helped us to reframe the control challenges associated with racing in a way that opens up new possibilities for safety on the road.

Even with driving capability at the level of the best human drivers, not all collisions are avoidable, due to laws of physics and the somewhat unpredictable actions of human road-users. Automated vehicles must be explicitly designed for these cases as well, requiring engineers to consider not only technical feasibility but also ethical frameworks for decision-making. The talk will conclude with a look at possible approaches to handling dilemma situations and why the popular “Trolley Car Problem” creates unnecessary fear and complication by asking the wrong question.

Chris Gerdes is a Professor of Mechanical Engineering and, by courtesy, of Aeronautics and Astronautics at Stanford University. His laboratory studies how cars move, how humans drive cars, and how to design future cars that work cooperatively with the driver or drive themselves. When not teaching on campus, he can often be found at the racetrack with students, instrumenting historic race cars or trying out their latest prototypes for the future. Vehicles in the lab include X1, an entirely student-built test vehicle; Shelley, an automated Audi TT-S that can lap a racetrack as quickly as an expert driver; and MARTY, an electrified DeLorean capable of controlled drifts. Chris and his team have been recognized with a number of awards including the Presidential Early Career Award for Scientists and Engineers, the Ralph Teetor award from SAE International and the Rudolf Kalman Award from the American Society of Mechanical Engineers.
From February 2016 to January 2017, Chris served as the first Chief Innovation Officer at the United States Department of Transportation. In this role, he worked with Secretary Anthony Foxx to foster the culture of innovation across the department and find ways to support transportation innovation taking place both inside and outside of government. He was part of the team that developed the Federal Automated Vehicles Policy and represented the Department on the National Science and Technology Committee Subcommittee on Machine Learning and Artificial Intelligence. He continues to serve U.S. DOT as Vice Chair of the Federal Advisory Committee on Automation in Transportation.
Chris is a co-founder of truck platooning company Peloton Technology and served as Peloton’s Principal Scientist before joining U.S. DOT.

Dynamic clustering, congestion propagation and perimeter control in large-scale urban networks, Oct 12

Thu, 2017-10-12 22:31
Abstract: Traffic is a strongly time-variant process and it needs to be studied in the spatiotemporal dimension. Investigating the clustering problem over time help us reveal the hidden information during the process of congestion formation and dissolution. The primary motivation of the research presented in this seminar is to study the spatiotemporal relation of congested links in large networks, observing congestion propagation from a macroscopic perspective, and finally identifying critical congestion regimes to aid the design of peripheral control strategies and improve mobility. This is not a straightforward task as transport networks despite spatial correlations in congestion are in principle heterogeneous due to road hierarchy and spatial distribution of demand. Thus, it is not always possible to treat congestion as a continuum in space. An example is directional flows towards a city center in the morning peak. The dynamic clustering framework will be capable of replicating how clusters expand or shrink in the process of congestion formation and dissolution. Moreover, it will be able to find new pockets of congestion and merge clusters with similar traffic conditions. In this framework, we will be able to chase where congestion originates and how traffic management systems affect its formation and the time it finishes. In the 1st part of the presentation we formulate the problem of partitioning networks to a desired number of regions as mixed integer linear optimization. Connectivity of clusters is explicitly enforced by imposing some constraints and the homogeneity of clusters is maximized in the objective function. In the 2nd part of the presentation, different perimeter control strategies are developed based on principles of control theory. The validation of the clustering methodologies and the perimeter control schemes are conducted in various and complex city structures scenarios using data from field experiments and micro-simulations.

Bio:
Prof. Nikolas Geroliminis is an Associate Professor at EPFL and the head of the Urban Transport Systems Laboratory (LUTS). Before joining EPFL he was an Assistant Professor on the faculty of the Department of Civil Engineering at the University of Minnesota. He has a diploma in Civil Engineering from the National Technical University of Athens (NTUA) and an MSc and Ph.D. in civil engineering from University of California, Berkeley. He also serves as an Associate Editor in Transportation Research part C, Transportation Science and IEEE Transactions on ITS and in the editorial board of Transportation Research, part B. His research interests focus primarily on urban transportation systems, traffic flow theory and control, on-demand transport and shared mobility, Optimization and Large Scale Networks. He is a recipient of the ERC Starting Grant “METAFERW: Modeling and controlling traffic congestion and propagation in large-scale urban multimodal networks”

TE-29 California Traffic Engineering License Exam Review, thru Oct 11

Wed, 2017-10-11 21:38
This twelve-session live-online training course is intended to help transportation engineers prepare for the California Traffic Engineer exam to become a professional Traffic Engineer in California. The course includes a set of sample problems for each session with fully developed solutions to give examinees more opportunity to hone in their test-taking skills. The twelve sessions are designed to cover the topics identified on the TRAFFIC ENGINEER EXAMINATION CONTENT OUTLINE on the California Board for Professional Engineers, Land Surveyors, and Geologists website. It provides strategies and techniques needed to manage time and solve exam questions under pressure, and apply required manuals, handbooks and references, such as California Manual of Uniform Traffic Control Devices (CA MUTCD 2014), Highway Capacity Manual (HCM), Caltrans Traffic Manual, ITE Trip Generation Handbook and ITE Parking Generation Handbook to solve traffic engineering problems.
Throughout the course, practice exam problems and solutions covering all three main areas of traffic engineering-planning, operations, and design-are used. The course is taught by a team of expert practicing traffic engineers. We will be using our an online learning management system (LMS). The LMS allows ongoing online communication with the expert instructors throughout the training. Students will be given problem sets to work on in between online training sessions, which can be submitted online via the LMS.

Berkeley China Summit 2017, Oct 8

Sun, 2017-10-08 22:35
Organized and sponsored by official UC Berkeley alumni and students organizations, endorsed and supported by UC Berkeley administration, the only authentic Berkeley China Summit 伯克利中美峰会 (“BCS”) is a full-day on-campus conference, aimed to connect China’s businesses and investors with the technology, engineering, and business innovation expertise on UC Berkeley campus and across the Bay Area.

The 2017 BCS theme “Technologies & Innovations that Build the Future” focuses on the state-of-art technologies and innovations that will define and build the future of human beings, and for which US, especially Berkeley, and China will be the main players and beneficiaries. Topics covered: Artificial Intelligence, Self-driving Car, Fin-tech, and Quantum Computing.