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Sponsor: PTA

Modeling Freight Corridor Movements Using a Mass Balance Approach

Status

Complete

Project Timeline

January 1, 2017 - June 30, 2017

Principal Investigator

Stephen Ritchie

Project Team

Yue (Ethan) Sun

Sponsor & Award Number

PTA:2016-17: 2017-37
(Also see the UC ITS page)

Areas of Expertise

Freight, Logistics, & Supply Chain

Team Departmental Affiliation

Civil and Environmental Engineering

Project Summary

With the expansion of population and economic activity in the country, freight transportation has grown significantly over the last two decades and has become one of the key economic drivers and environmental concerns in California.  In California, the freight system is responsible for one-third of the State’s economic product and jobs, with freight-dependent industries accounting for over $740 billion in gross domestic product and over 5 million jobs in 2014. Thus, improving the efficiency of California’s freight transport system is vital to our State economy and understanding this system is the first key step to identify the actions necessary to make this system sustainable in the future. 

Proposal:  As part of this project, ARB staff is interested to better understand freight mass movement across the major freight corridors in the state. With the truck body classification capability of the state’s new Truck Activity Monitoring System (TAMS), researchers have shown that they can identify different types of trucks and trailers (e.g., 40-ft container chassis vs. 53-ft box type trailer) that are utilized within the freight system. This system is even capable of identifying where in the freight supply chain these trucks are operating. For example, a 40-ft container chassis is mostly used to transport freight from ship to truck and then to rail.  So it can be considered as a freight mass transported from port to rail-yards/distribution centers, whereas, a box-type trailer might be used for delivery to a freight consignee. If this system can be integrated with data from Weigh in Motion (WIM) sensors located throughout the State, and commodity flow information from the Federal Freight Analysis Framework (FAF), one could potentially measure the freight mass flux in/out of origin/destination zones. Such a system would enable 1) tracking freight mass movement (both spatial and temporal) across the state; 2) connecting truck classifications to economic and commodity information; and 3) better model freight transportation and thus emissions in California.   

Expected Impact and Benefits: The results from this study can help to develop strategies to reduce emissions from California’s trucks for use in the State Implementation Plan, Scoping Plan, Short Lived Climate Pollutant Plan, and Sustainable Freight Action Plan. The information from this study can also be used to calibrate and validate the California statewide freight-forecasting model (CSFFM) and can help inform freight models under development by metropolitan planning organizations (MPOs). Further, this can improve the heavy-duty vehicle inventory in the ARB’s EMFAC motor vehicle emissions model and to predict the effectiveness of various emissions control programs.

Related Publications

Phd Dissertation | Jan 2018

Commodity Based Freight Demand Modeling Framework using Structural Regression Model

Read more

Reducing Degradation of High-Occupancy Vehicle Lanes

Status

Complete

Project Timeline

October 1, 2016 - October 1, 2017

Principal Investigator

R. (Jay) Jayakrishnan

Project Team

Riju Lavanya, Marjan Mosslemi, Monica Ramirez-Ibarra, Bumsub Park, Lu Xu, Navjyoth Sarma

Sponsor & Award Number

PTA:2016-17: 2017-47
(Also see the UC ITS page)

Areas of Expertise

Infrastructure Delivery, Operations, & Resilience

Team Departmental Affiliation

Civil and Environmental Engineering

Project Summary

Problem Statement: In California, many High-Occupancy Vehicle (HOV) lanes meet the federal standard of degradation, which is met if the average traffic speed during the morning or evening weekday peak commute hour is less than 45 miles per hour (mph) for more than 10 percent of the time over a consecutive 180-day period.   In California, HOV lanes are an effective tool to both promote carpooling and transit, and incentive the purchase of zero-emission vehicles by allowing single occupant drivers of ZEVs access to HOV lanes.  Degradation of HOV lanes reduces travel time reliability of the lanes, which then reduces the incentive for carpooling, transit and ZEV purchase.  In the long-term increasing degradation could result in the need to eliminate ZEV green and white sticker programs as a strategy to address the degradation.    
Proposal: Researchers will explore best practices to address HOV lane degradation to strengthen the incentives these lanes provide for carpooling, transit and ZEV purchase.  Strategies explored, should include, but not necessarily be limited to:
– Lane striping, or other infrastructure approaches that decrease unauthorized HOV lane use, and maintain or improve safety.
– Innovative enforcement approaches to decrease unauthorized use, including new technologies.
– Traditional enforcement approaches such as increase law enforcement.
  
Expected Impact and Benefits: This research should inform Caltrans and regions on best strategies to implement to reduce degradation of HOV lanes and help further state policy goals related to greenhouse gas reduction and a more efficient transportation system. 

Related Publications

research report | Nov 2019

Reducing Degradation in High-Occupancy Lanes

Read more

Improving Highway Performance Monitoring Using Advanced Detector Technologies

Status

Complete

Project Timeline

July 1, 2017 - June 30, 2017

Principal Investigator

Stephen Ritchie

Project Team

Andre (Yeow Chern) Tok, Yiqiao Li

Sponsor & Award Number

PTA:2016-17: 2017-24
(Also see the UC ITS page)

Areas of Expertise

Intelligent Transportation Systems, Emerging Technologies, & Big Data

Team Departmental Affiliation

Civil and Environmental Engineering

Project Summary

The California Department of Transportation (Caltrans) along with other State Departments of Transportation (DOTs) are required to submit axle-based classification count reports to the Federal Highway Administration (FHWA) under the Highway Performance Measurement System (HPMS) program.  The data are an input to the federal government’s allocation of funds to the states to effectively maintain pavement quality in high priority corridors.  However, safety concerns and high costs are associated with existing methods of data collection.  For example, setting up road tubes and other temporary data collection devices frequently exposes DOT personnel to safety hazards due to their close proximity to the traveled lanes of high speed corridors.  In addition, permanent detection systems such as existing piezo-based vehicle classifiers are expensive to install and are associated with high maintenance costs due to their frequent failures.
The statewide Truck Activity Monitoring System (TAMS) developed by UC Irvine currently provides continuous truck counts by vocation at 70 major truck corridors in California, and will be expanded to over 90 locations by the end of 2016.  The system is based on relatively inexpensive updating of hardware in roadside cabinets at existing traffic detection sites that equip existing permanent loop sensors with inductive signature technology.  Although the current classification models in TAMS are focused on truck vocations, initial investigations have shown that there is excellent potential to successfully develop truck classification models that are capable of classifying vehicles according to the axle-based FHWA HPMS scheme using only inductive loop signature data.  In this proposed study, we will partner with advisors from the Caltrans Traffic Census Program (TCP) to develop HPMS-based classification models, and design a streamlined solution within TAMS to process the data for HPMS reporting requirements. Existing data as well new data sources collected at WIM sites will be used to develop and validate the models, while TCP advisors will provide reporting guidelines to ensure that the developed system meets stakeholder needs.  We will also investigate establishing a test detection site using only solar power to study the feasibility of implementing this solution at off-grid sites to further extend the applications of this research.

Related Publications

published journal article | Mar 2022

Deep Ensemble Neural Network Approach for Federal Highway Administration Axle-Based Vehicle Classification Using Advanced Single Inductive Loops
Transportation Research Record

Read more
conference paper | Jan 2021

A Deep Ensemble Neural Network Approach for FHWA Axle-based Vehicle Classification using Advanced Single Inductive Loops
100th Annual Meeting of the Transportation Research Board (TRB)

Read more

Transit Investment Impacts on Land Use Beyond the Half-Mile Mark

Status

Complete

Project Timeline

January 1, 2017 - December 31, 2017

Principal Investigator

Jae Hong Kim

Project Team

Doug Houston, Naila Sharmeen, Wan-Tzu (Ashley) Lo, Jaewoo Cho

Sponsor & Award Number

PTA:2016-17: 2017-05
(Also see the UC ITS page)

Areas of Expertise

Public Transit, Shared Mobility, & Active Transportation Travel Behavior, Land Use, & the Built Environment

Team Departmental Affiliation

Urban Planning and Public Policy

Project Summary

Problem Statement: While transit-oriented development (TOD) and other transit-centered initiatives have emerged in recent years as core strategies for attaining the vision of the SB 375, little is known about how our investment in a public transit system can actually modify urban land use patterns, and under what circumstances the (favorable) effects occur, and to what (spatiotemporal) extent.  Prior research, although valuable, tends to assume transit lines/stations as a homogeneous facility/amenity without explicit consideration of their history, service quality, and other attributes that could generate a significant difference in land use outcomes.  Furthermore, little scholarly attention has been paid to the expansion (or quality improvements) of a transit system that can (re)shape land use patterns consistently over time.  In practice, half-mile circles have been used widely in delineating transit corridor areas.  What can be achieved beyond the half-mile walking distance radius boundaries has remained unanswered.
Proposal: Building on a recently completed project, “Infill Dynamics in Rail Transit Corridors: Challenges and Prospects for Integrating Transportation and Land Use Planning”, this project will assess the impacts of light rail transit expansion on broader vicinity areas in Southern California.  The project aims to better understand the mechanisms between transit characteristics and land (re)development dynamics and the potential land use change which could be associated with Southern California’s regional transportation and sustainability plan which calls for increased density in high-quality transit areas.  
Specifically, this research will solidify an understanding of the detailed mechanisms driving urban land use change near transit investments and will extend the ability to translate results from models into policy recommendations by:
1. Analyzing the potential impacts of light rail investments on areas beyond the traditional half-mile station radius and associated evolution of land use patterns and property markets in transit corridors;
2. Examining the influence of policy context variables on land use dynamics in transit corridors, including the influence of planning tools intended to promote near-transit development;
3. Conducting comparative case studies on the planning and development context of major developments in transit corridors to extend quantitative model findings with qualitative insights into the role of planning institutions and developers on near-transit development.
Expected Impact and Benefits: The proposed project will greatly advance the understanding of urban land use change dynamics under the influence of transit system development/expansion.  As noted above, little is known about (potential) changes that can take place beyond the half-mile circles.  Results will shed light on the effectiveness of transit investment in creating a more sustainable urban/metropolitan spatial structure and therefore inform local, regional, and state agencies.  In addition, by analyzing the influence of policy and context variables, this research will provide insight into how local actions and institutional structures can play a significant role in shaping land use and transportation dynamics of urban areas.  The research’s emphasis on broader transit vicinities will also help planners think beyond the traditional half-mile circles and refine their strategies for directing growth into high-quality transit areas.  This will eventually contribute to a more complete realization of urban development that is environmentally and socio-economically sustainable.

Related Publications

policy brief | May 2019

Transit Investments are Having an Impact on Land Use Beyond the Half-Mile Mark

Read more
research report | Jun 2017

Transit Investment Impacts on Land Use Beyond the Half-Mile Mark

Read more

Policy and Literature Review on the Effect Millennials Have on Vehicle Miles Traveled, Greenhouse Gas Emissions, and the Built Environment

Status

Complete

Project Timeline

January 1, 2017 - December 31, 2017

Principal Investigator

Doug Houston

Project Team

Michelle Zuniga

Sponsor & Award Number

PTA:2016-17: 2017-25
(Also see the UC ITS page)

Areas of Expertise

Travel Behavior, Land Use, & the Built Environment

Team Departmental Affiliation

Urban Planning and Public Policy

Project Summary

The driving habits of US millennials (roughly defined as persons born between 1980-2000, with a current estimated population of 75 million) has been identified as having a dampening effect on automobile ownership and passenger vehicle miles travelled (VMT).  There is little available information or research to enable a quantification of this effect, and its potential magnitude in future decades.  Metropolitan Planning Organizations (MPO) need more information to be able to model or otherwise estimate the impact of this effect on regional VMT and greenhouse gas (GHG) emissions, for purposes of their Sustainable Communities Strategies (SCS) under SB 375.
This research will investigate the magnitude of potential GHG and VMT benefits from millennial driving behavior and develop data and information that MPOs can use to estimate the regional GHG and VMT benefits of this demographic shift for purposes of meeting SB 375 targets. The research will involve 4 tasks:  
1. A review of existing research and available data sources on the effects of millennial driving behavior on VMT; 
2. A discussion of the possible causes of millennial driving behavior and how the built environment may affect this behavior;
3. An estimate of the magnitude of the effect of millennial driving behavior on VMT and GHG emissions; 
4. An identification of the kinds of regional policy interventions or SCS strategies that would be effective in encouraging a continuation of this behavior even as millennials age.

Related Publications

research report | Jun 2017

Policy and Literature Review on the Effect Millennials Have on Vehicle Miles Traveled, Greenhouse Gas Emissions, and the Built Environment

Read more

Transition Pathways to a More Sustainable Heavy-Duty Vehicle Sector

Status

Complete

Project Timeline

January 1, 2017 - December 31, 2017

Principal Investigator

Stephen Ritchie

Project Team

Karina Hermawan, Craig Rindt

Sponsor & Award Number

PTA:2016-17: 2017-45
(Also see the UC ITS page)

Areas of Expertise

Freight, Logistics, & Supply Chain Zero-Emission Vehicles & Low-Carbon Fuels

Team Departmental Affiliation

Civil and Environmental Engineering

Project Summary

The State of California has made a commitment to transitioning to cleaner and more advanced alternative-fuel-based technologies in order to mitigate the negative impact of transportation-related emissions. Each of these technologies addresses one or more pollutant externalities ranging from volatile organic- compounds, sulfur dioxide, nitrogen oxides and others. The State’s policy-making with respect to transportation fuels will benefit from a more detailed understanding of the relative strengths and weaknesses of each technology for addressing negative externalities as well as the different challenges and barriers each faces in California’s unique market.
In order to compare the potential benefits and tradeoffs of each solution this research is developing new metrics to quantify these costs. This includes finding and analyzing the available data sources and developing new survey designs to facilitate the development of more powerful metrics. Additionally, this study is assessing whether and by how much the strategies compromise economic growth via cost and benefit analysis.
A literature review of the different potential solutions is underway, and has thus far identified types of costs to consider, the supply chains of fuels and technologies (biomass and biogas, power-to-gas and vehicle-to-grid) and penetration/adoption rates of alternative fuel vehicles.
Remaining work on this project includes comparing the different solutions, categorizing them by type of technologies, intended externalities, and by stakeholders involved.

Related Publications

presentation | Nov 2022

Kent Distinguished Lecture, University of Illinois Transportation Center, Nov 2022: "Data, modeling and emerging technologies on the road to sustainable freight transportation."

Read more
presentation | Apr 2021

Invited Expert Testimony in 2021 on the California ”Heavy Duty Vehicle Sector” to the Joint Informational Hearing of the California Senate Committee on Transportation and Senate Budget Subcommittee 2 on Resources, Environmental Protection, and Energy, on The California Energy Commission’s Clean Transportation Program and California’s Zero Emissions Vehicle Deployment Strategy

Read more

Real Options Models for Better Investment Decisions in Road Infrastructure under Demand Uncertainty

Status

Complete

Project Timeline

January 1, 2017 - December 31, 2017

Principal Investigator

Jean-Daniel Saphores

Sponsor & Award Number

PTA:2016-17: 2017-02
(Also see the UC ITS page)

Areas of Expertise

Transportation Economics, Funding, & Finance

Team Departmental Affiliation

Civil and Environmental Engineering

Project Summary

Problem Statement: The 2013 American Society of Civil Engineers (ASCE) infrastructure report card gave roads nationwide a “D”, and California roads a “C-”. Billions of dollars are needed to take care of deferred maintenance and billions more are necessary to improve the state of our road transportation infrastructure. Because the public is reluctant to increase tax revenues for transportation, it is important to revisit Public-Private Partnerships (PPP) for attracting capital and engineering expertise from the private sector. However, the impact of uncertainty on the structuring and management of major road infrastructure projects is still not well understood.
Proposal: This research will create a real-options framework for analyzing public-private partnerships to fund or renovate roads.  This framework will include demand uncertainty, endogenous tolls, and endogenous road capacity. It will also account for the lag between the beginning of a project and its completion. The competition between new and existing roads will be modelled explicitly, and traffic congestion will be accounted for using a BPR function.
It is well known that applying a standard cost-benefit analysis (which is static and deterministic) to uncertain projects can be misleading because it ignores both uncertainty and irreversibility. This study will derive analytical and numerical results for the optimal timing and capacity of a highway project between two cities under three arrangements: 1) public funding, operation and maintenance; 2) private funding, operation, and maintenance; and 3) a Build- Operate-Transfer (BOT) framework. 
The framework will be applied to California case studies.
Expected Impact and Benefits: This project is relevant to Caltrans, Metropolitan Planning Organizations, regional transportation planning agencies, local governments, and private firms interested in financing toll roads. It may also help inform a new version of AB 680, which allowed up to four private highway franchises in CA. Expected main findings of this research include: 1) A better understanding of the impact of demand uncertainty on the decision to invest in surface transportation projects; 2) Simple criteria for the viability of private and public-private partnerships; and 3) A review of experiences with BOT road projects.

Related Publications

Phd Dissertation | Mar 2017

Real Options Models for Better Investment Decisions in Road Infrastructure under Demand Uncertainty

Read more

Evaluation of the Air Quality and Greenhouse Gas Benefits of an Advanced Low‐NOx Compressed Natural Gas (CNG) Engine in Medium and Heavy‐Duty Vehicles in California

Status

Complete

Project Timeline

January 1, 2017 - December 31, 2017

Principal Investigator

Scott Samuelsen

Sponsor & Award Number

PTA:2016-17: 2017-35
(Also see the UC ITS page)

Areas of Expertise

Zero-Emission Vehicles & Low-Carbon Fuels

Team Departmental Affiliation

Mechanical and Aerospace Engineering

Project Summary

Problem Statement: The recent commercialization of advanced CNG engines for medium-duty vehicles (MDV) and heavy-duty vehicles (HDV) that can dramatically reduce emissions of NOx relative to baseline technologies has garnered significant interest due to the potential for air quality benefits. 
Furthermore, the co‐utilization of renewable natural gas (RNG) from pathways including biomass/biogas and power‐to‐gas can achieve deep reductions in greenhouse gas (GHG) emissions relative to both diesel and clean natural gas (CNG). However, the regional air quality and GHG impacts of large‐scale deployment are currently unclear and require quantification, including both primary and secondary pollutants including ground-level ozone and PM2.5. More information is needed regarding the RNG production pathways that provide the greatest GHG reductions and regional air quality improvements.
Proposal:  The goal of the proposed research is to assess the emissions and air quality impacts of transitions to advanced low‐NOx CNG engines in MDV and HDV applications in California with a particular emphasis on renewable natural gas (RNG) as a fueling pathway. Objectives include: 
1. Developing a set of future scenarios for deployment of advanced low‐NOx CNG engines in various vehicle classes comprising the MDV and HDV sectors in California
2. Leveraging prior research of biogas and biomass resources in California to develop scenarios of potential infrastructure and resource pathways to support RNG vehicle fueling
3. Leveraging prior research of wind and solar resources in California to develop scenarios of potential infrastructure and resource pathways to support power‐to‐gas RNG vehicle fueling
4. Quantifying changes in lifecycle GHG emissions from baseline for scenarios and compare and contrast to identify strategies that maximize reductions from California’s RNG resources
5. Applying quantified emission changes via an emissions processing model (SMOKE), and producing spatially and temporally resolved emission fields
6. Conducting simulations of atmospheric chemistry and transport via a photochemical AQ model (CMAQ) to quantify and spatially resolve impacts on primary and secondary pollutants including ozone and PM2.5
7.
Expected Impact and Benefits: This research will directly contribute to the goals for CARB’s Mobile Source Strategy including meeting California and Federal Clean Air Act standards, reducing health risk, and meeting GHG reduction goals (AB 32 and SB 375) by providing insight into the development and implementation of strategies to reduce emissions from medium‐ and heavy‐duty vehicles. Additionally, results will support CARB’s efforts to support disadvantaged communities (SB 535 and SB 350).  Results from this work will build a scientific foundation supporting the development of effective emission mitigation strategies supporting numerous State efforts, including the Sustainable Freight Action Plan, Scoping Plan measures, and to the Short‐Lived Climate Pollutant Strategy. This research also leverages significant investment by the Department of Energy and the California Energy Commission in modeling tools developed by the Advanced Power and Energy Program that enable these air quality and GHG analyses.

Related Publications

policy brief | May 2017

Advanced Low-NOx Compressed Natural Gas Engines in Medium- and Heavy-Duty Vehicles Are Poised to Deliver Air Quality Benefits and Advance California’s Climate Goals

Read more
research report | Jun 2017

Evaluation of the Air Quality and Greenhouse Gas Benefits of an Advanced Low‐NOx Compressed Natural Gas (CNG) Engine in Medium and Heavy‐Duty Vehicles in California

Read more

A Literature Review: Improving How Active Transportation Demand is Modeled and Evaluated

Status

Complete

Project Timeline

January 1, 2017 - December 31, 2017

Principal Investigator

Jean-Daniel Saphores

Project Team

Daniel Chuong, Pierre Auza

Sponsor & Award Number

PTA:2016-17: 2017-21
(Also see the UC ITS page)

Areas of Expertise

Public Transit, Shared Mobility, & Active Transportation

Team Departmental Affiliation

Civil and Environmental Engineering

Project Summary

Problem Statement: In an effort to cost effectively understand and plan for active transportation investments, OCTA has partnered with ITS-Irvine to develop, apply, and evaluate an approach to modeling active transportation. Local transportation agencies have typically relied on traditional travel demand forecasting models that focus on highway and roadway improvements to optimize vehicular traffic. These models and are not optimized for evaluating newer active transportation strategies aimed at addressing current State of California policies such as reducing vehicle miles traveled and greenhouse gases emissions. Such strategies include: changes in the composition and mix of land uses, new sidewalks, roadway speed reductions, increased number of bus stops, greater intersection density (crosswalk frequency), and new bicycle lanes. Traditional travel demand forecasting models need to be modified to better address new active transportation strategies. 
Proposal:  ITS-Irvine researchers have been invited by OCTA to develop, apply, and evaluate an approach to modeling active transportation. The developed active transportation model will support efforts to understand the travel behavior impacts of active transportation improvements. The active transportation model will help OCTA prepare strategies to meet State of California requirements to reduce household vehicle travel and greenhouse gases emissions as part of SB 743. 
ITS-Irvine researchers will start by examining OCTAM (OCTA’s own regional travel demand model) to evaluate its potential for modification or incorporation into a new active transportation model. Depending on their findings, the ITS-Irvine researchers will either modify OCTAM or develop an alternative approach beyond the traditional travel demand model. After the active transportation model is developed, the ITS-Irvine researchers will apply the model to multiple case studies and future projects to evaluate active transportation improvements.
Expected Impact and Benefits: The proposed research will directly support the State of California’s efforts to reduce household vehicle travel and greenhouse gases emissions (pursuant to AB 32, SB 375, and SB 743) as well as reduce criteria pollutants and their negative health effects (California and Federal Clean Air Acts). The results of this work will be used to compare the travel benefits of future active transportation projects, and may also be helpful to the State in the administration of the Active Transportation Program.

Related Publications

research report | Jul 2017

A Literature Review: Improving How Active Transportation Demand is Modeled and Evaluated

Read more

New Methods for Monitoring Spatial Truck Travel Patterns in California Using Existing Detector Infrastructure

Status

Complete

Project Timeline

January 1, 2017 - December 31, 2017

Principal Investigator

Stephen Ritchie

Project Team

Andre (Yeow Chern) Tok

Sponsor & Award Number

PTA:2016-17: 2017-43
(Also see the UC ITS page)

Areas of Expertise

Freight, Logistics, & Supply Chain Intelligent Transportation Systems, Emerging Technologies, & Big Data

Team Departmental Affiliation

Civil and Environmental Engineering

Project Summary

Problem Statement: Recently UC Irvine developed and implemented a new methodology to collect high resolution truck activity data traveling on the California freeway system that will be implemented at over 90 strategic truck corridors in California under the sponsorship of California Air Resources Board (ARB) and California Department of Transportation (Caltrans). The developed model uses the existing traffic detector infrastructure and can accurately predict up to 63 body classes. However, most of the current implemented sites monitored only the slow truck-traveled lanes, even though many two-axle medium and light duty trucks are allowed to travel on inner lanes. Hence, not all light and medium duty truck activity is being captured at these locations.

Proposal: Work underway on the project includes performing an inventory of the lane coverage at implemented sites, identifying optimal locations for proving full advanced detector coverage across all lanes, installing and configuring detectors at selected sites, and investigating the model and system enhancements.

At the conclusion of the project, detailed vehicle classification data across all lanes will be available at strategic highway corridors in California. These new data will be used to improve inventory development and air quality modeling, which are the basis for critical planning efforts such as the State Implementation Plan (Federal Clean Air Act), Scoping Plan (AB-32), Sustainable Freight Action Plan (Executive Order B-32-15), and California Transportation Plan (SB-391). This will also help us better understand how and where trucks travel in California. Furthermore, the data will help us track progress on performance of Sustainable Communities Strategies under SB 375, and can be used by MPOs for transportation demand model calibration and validation.
  
Expected Impact and Benefits: The purpose of this project is to enhance and expand the current data collection capability by improving the existing models and expanding coverage of this advanced classification system across all lanes at key cordons. This study will identify strategic locations where cards could be installed to collect the truck body classification data that is beneficial for ARB, Caltrans, Metropolitan Planning Organizations (MPOs), and other state agencies. This research involves the following tasks: (1) identifying potential locations for installing the cards; (2) deploying the cards and other required accessories; (3) and system enhancement.

Related Publications

policy brief | Oct 2019

New Tool from UC Irvine Could Save the State Millions while Providing Better Data on Truck Activity in California

Read more

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