Advanced Vehicle Miles Traveled Estimation Methods for Non-Federal Aid System Roadways Using GPS Vehicle Trajectory Data and Statistical Power Analysis

Author:

Nasri Arefeh1,Zhang Lei2,Fan Junchuan3,Stewart Kathleen3,Younes Hannah3,Fu Cheng3,Jessberger Steven4

Affiliation:

1. National Center for Smart Growth Research and Education, Maryland Transportation Institute, University of Maryland, College Park, MD

2. Department of Civil and Environmental Engineering, University of Maryland, College Park, MD

3. Department of Geographical Sciences, University of Maryland, College Park, MD

4. Federal Highway Administration, Office of Highway Policy Information - Travel Monitoring and Surveys, Washington, D.C.

Abstract

It is of interest to federal and state agencies to develop an advanced uniform method for estimation of vehicle miles traveled (VMT) on local roads which can be used as a guideline for agencies nationwide. The purpose of this study is to propose advanced innovative approaches for estimating VMT on local roads and analyze the feasibility of applying these methods. The paper presents a methodology and procedure for estimating local road VMT using GPS vehicle trajectory data and an all-street road network and expands these methodologies and results to determine the minimum required GPS sample size. The Federal Highway Administration and other transportation agencies may consider using these methodologies as a future guide to update VMT estimates with minimal additional cost requirements. The key finding of the research is that it is feasible to use new GPS vehicle trajectory data to estimate VMT on non-Federal Aid System roadways. The sample size of this data allows the application of this new method across the nation. The accuracy of this method was tested for the State of Maryland. Once such statewide GPS data is obtained by a given state, the methodology can be easily applied to that state as well.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Civil and Structural Engineering

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Whose Miles Are These Anyway?;Journal of the American Planning Association;2024-01-22

2. Trajectory-as-a-Sequence: A novel travel mode identification framework;Transportation Research Part C: Emerging Technologies;2023-01

3. Estimating VKT on Rural Roads for Carbon Emission Estimation;Proceedings of the 2022 12th International Conference on Environment Science and Engineering (ICESE 2022);2023

4. Travel Patterns Analysis Using Tensor-Based Model from Large-Scale License Plate Recognition Data;Journal of Advanced Transportation;2022-08-31

5. Trajectory-as-A-Sequence: A Novel Travel Mode Identification Framework;SSRN Electronic Journal;2022

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