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Sponsor: Caltrans

Assessment and Development of Commodity Flow, Logistics, and Other Relevant Goods Movement Data Sources to Facilitate Statewide Freight Modeling

Status

Complete

Project Timeline

March 17, 2008 - February 28, 2010

Principal Investigator

Stephen Ritchie

Project Team

Amelia Regan, Sarah Aly, Pruttipong Apivatanagul, Miyuan Zhao, Choong Heon Yang, Rex Chen, Ying Jun Chow, Andre (Yeow Chern) Tok, Dmitri Arkhipov, Shin-Ting (Cindy) Jeng, Jae Young Jung, Fatemeh Ranaiefar, Joseph Chow

Sponsor & Award Number

Caltrans: 74A0343

Areas of Expertise

Freight, Logistics, & Supply Chain

Team Departmental Affiliations

Civil and Environmental Engineering, Computer Science

Related Publications

research report | Feb 2010

Assessment and Development of Commodity Flow, Logistics, and Other Relevant Goods Movement Data Sources to Facilitate Statewide Freight Modeling

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published journal article | Jan 2011

Online data repository for statewide freight planning and analysis
Transportation Research Record

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Large Scale Real Options Models for Network Investment Planning & Operational Risk Hedging

Status

Complete

Project Timeline

August 1, 2008 - June 30, 2010

Principal Investigator

Amelia Regan

Project Team

James Benvenuto, Dmitri Arkhipov, Miyuan Zhao

Sponsor, Program & Award Number

Caltrans // UCTC Caltrans Match: 6296
(Subcontract to UC Berkeley)

Areas of Expertise

Freight, Logistics, & Supply Chain

Team Departmental Affiliation

Computer Science

Project Summary

This project will develop a real option model for investments made in a network as a method for addressing managerial flexibility in transportation planning. A continuous network investment deferment model is formulated with longitudinal stochastic OD flows. Each payoff is determined by the continuous network design problem. The model is a bilevel program with an upper level Bellman equation for dynamic programming and a lower level based on the continuous network design investment allocation and user-optimal route choice. Each OD demand flow evolves as an independent, discretized geometric Brownian motion. A heuristic approach based on Monte Carlo simulation and Iterative Optimization Assignment is considered, using a sampling strategy to overcome it inherent computational inefficiency. The option value is decomposed into the basic deferment option and a newly defined network option. Network exposure is expanded as an application to operational risk hedging to consider the impact of failed links on the expanded net present value. A solution for a Sioux Falls, SD network example with zero drift is compared to the stochastic demand scenarios in earlier literature as well as the standard exposure with the investment exposure.

Related Publications

Phd Dissertation | Jan 2010

Flexible management of transportation networks under uncertainty

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published journal article | May 2011

Network-based real option models
Transportation Research Part B: Methodological

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Development of an Adaptive Corridor Traffic Control Model

Status

Complete

Project Timeline

January 1, 1900 - March 31, 2010

Principal Investigator

Will Recker

Project Team

Xing Zheng, Lianyu Chu

Sponsor, Program & Award Number

Caltrans // PATH: TO 5323, TO 6323

Team Departmental Affiliation

Civil and Environmental Engineering

Related Publications

research report | Oct 2008

Development of an Adaptive Corridor Traffic Control Model

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research report | Mar 2010

Development of an Adaptive Corridor Traffic Control Model

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Incorporating Vehicular Emissions into an Efficient Mesoscopic Traffic Model: An Application to Southern Califoria

Status

Complete

Project Timeline

August 1, 2009 - July 31, 2010

Principal Investigator

Jean-Daniel Saphores

Project Team

Qi-Jian Gan, Jielin Sun, Jielin Sun, Ankoor Bhagat

Sponsor, Program & Award Number

Caltrans // UCTC Caltrans Match: 6789
(Subcontract to UC Berkeley)

Areas of Expertise

Safety, Public Health, & Mobility Justice

Team Departmental Affiliation

Civil and Environmental Engineering

Project Summary

With the increasing public understanding of the health impacts of air pollution from motor vehicle operation, policy makers need better tools for analyzing the effectiveness of regional policies designed to reduce air pollution. Indeed, the four-step process, which is the current state-of-the-practice in transportation modeling, is inadequate for this task, and micro-simulation, while promising, is very time consuming. We therefore propose to incorporate vehicular emissions into a dynamic mesoscopic traffic model to create a tool that will generate information about traffic flow, vehicle speeds, and emissions of CO2 and various criteria pollutants (PM10, NO2, and CO) on large scale networks. This tool will help evaluate the effectiveness of regional policies such as mandating a certain concentration of biofuels in gasoline or diesel, promoting hybrid electric vehicles (cars or trucks), or replacing older trucks with cleaner ones as is currently done for the San Pedro Bay Ports drayage trucks. In addition, our application to the road network linking the SPBP to the Inland Empire via downtown Los Angeles will provide new insights into various policies that could relieve the dual burdens of congestion and air pollution from communities affected by freight transportation to and from the SPBP.

An Activity-Based Assessment of the Potential Impacts of Plug-in Hybrid Electronic Vehicles (PHEV’s) on Energy: Emissions Using One-day Travel Data

Status

Complete

Project Timeline

August 1, 2009 - July 31, 2010

Principal Investigator

Will Recker

Project Team

Jee Eun (Jamie) Kang, Mahdieh Allahviranloo, Matthew Redmond, Arianna Valle, Jae Hun Kim

Sponsor, Program & Award Number

Caltrans // UCTC Caltrans Match: 6788
(Subcontract to UC Berkeley)

Areas of Expertise

Travel Behavior, Land Use, & the Built Environment Zero-Emission Vehicles & Low-Carbon Fuels

Team Departmental Affiliation

Civil and Environmental Engineering

Project Summary

With the success of Hybrid Electric Vehicles (HEVs) in the automobile market, Plug-In Hybrid Electric Vehicles (PHEVs) are emerging as the next evolution of this attractive alternative. PHEV market penetration is expected to lead to lower gasoline consumption and less emission. The main objective of this project is to assess PHEVs’ emission reduction and energy profile impacts based on simulation of vehicles used to in activity and travel patterns drawn from the 2000-2001 California Statewide Household Travel Survey. Simulations replicating reported continuous one day data will be used to generate realistic emissions and energy impact assessment of PHEV market penetration. A secondary objective is to estimate the decreased gasoline consumption and increased electricity demand in California. This will involve testing various electric pricing strategies designed to mitigate the recharging demands placed on the grid during periods of peak consumption. This assessment of emission and energy requirements of PHEVs will provide a benchmark that will assist in determining the impacts of future PHEV penetration into the automobile market. Specifically, the study will provide an upper bound on the potential demand on the existing grid, as well as categorize expected energy and emissions impacts by time of day and source. 

Related Publications

research report | Jul 2010

An activity-based assessment of the potential impacts of plug-in hybrid electric vehicles on energy and emissions using one-day travel data

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published journal article | Oct 2008

Development of an estimation procedure for an activity-based travel demand model
Computer-Aided Civil and Infrastructure Engineering

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published journal article | Jul 2008

A mathematical programming formulation of the household activity rescheduling problem
Transportation Research Part B: Methodological

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published journal article | Dec 2009

An activity-based assessment of the potential impacts of plug-in hybrid electric vehicles on energy and emissions using 1-day travel data
Transportation Research Part D: Transport and Environment

Read more
working paper | Jan 2008

Development of an estimation procedure for an activity-based travel demand model

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An Activity Based Assessment of the Potential Impacts of Plug-Electric Vehicles (PHEV’s) on Energy Emissions Using One-Day Travel Data

Status

Complete

Project Timeline

August 1, 2009 - July 31, 2010

Principal Investigator

Will Recker

Sponsor, Program & Award Number

Caltrans // UCTC Caltrans Match: 6953
(Subcontract to UC Berkeley)

Areas of Expertise

Travel Behavior, Land Use, & the Built Environment Zero-Emission Vehicles & Low-Carbon Fuels

Team Departmental Affiliation

Civil and Environmental Engineering

A Measurement-Based System for TMC Performance Evaluation

Status

Complete

Project Timeline

October 15, 2007 - September 30, 2010

Principal Investigator

Will Recker

Project Team

Craig Rindt, Jon Hutchins

Sponsor & Award Number

Caltrans: 65A0252

Areas of Expertise

Infrastructure Delivery, Operations, & Resilience Intelligent Transportation Systems, Emerging Technologies, & Big Data

Team Departmental Affiliation

Civil and Environmental Engineering

Project Summary

This project developed a web-based application that addresses the problem of identifying the value of the TMC in managing disruptions to the transportation system by quantifying the delay savings that can be attributed directly to TMC actions. Using event data from TMC activity logs and traffic state data from the PeMS database, the system identifies the time-space impact of events in the activity database using a mathematical-programming formulation to match evidence of disruption to computed time-space bounds. Given this boundary, the actual delay associated with the impacted region is calculated. To compute the savings attributable to the TMC, the activity logs are used to identify when the direct disruption by the event is removed (e.g., when an accident is cleared) and models the increased delay that would occur if this clearance was delayed. Given these calculations, the system allows TMC managers to evaluate the performance of various bundles of TMC technologies and operational policies by mapping their effects onto events in the system that can be measured using existing surveillance systems and daily activity logs. The system is deployed atop the CTMLabs service-oriented architecture and is available as a application on the CTMLabs website for use by authenticated users.

Related Publications

research report | Sep 2010

Transportation Management Center (TMC) Performance Measurement System

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research report | Jan 2008

A measurement-based system for TMC performance evaluation: Interim report and recommendations

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Socio-Economic Attributes and Impacts of Travel Reliability: A Stated Preference Approach

Status

Complete

Project Timeline

January 1, 1900 - November 1, 1995

Principal Investigator

Kenneth Small

Project Team

Robert Noland, Pia Koskenoja

Sponsor, Program

Caltrans // PATH

Team Departmental Affiliation

Economics

Related Publications

working paper | Nov 1995

Socio-Economic Attributes and Impacts of Travel Reliability: A Stated Preference Approach

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Advanced Public Transit System Planning: Phase II Operational Model for Transit Network Evaluation

Status

Complete

Project Timeline

August 1, 1995 - September 30, 1999

Principal Investigator

r-jayakrishnanR. (Jay) Jayakrishnan

Sponsor, Program

Caltrans // UCTC Caltrans Match

Team Departmental Affiliation

Civil and Environmental Engineering

Implementation and Evaluation of an Event Based ATIS

Status

Complete

Project Timeline

July 1, 1997 - June 30, 2000

Principal Investigator

r-jayakrishnanR. (Jay) Jayakrishnan

Sponsor, Program

Caltrans // ATMS Testbed

Team Departmental Affiliation

Civil and Environmental Engineering

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