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Title: Navigation Application Programming Interface Route Fuel Saving Opportunity Assessment on Large-Scale Real-World Travel Data for Conventional Vehicles and Hybrid Electric Vehicles

Abstract

The green-routing strategy instructing a vehicle to select a fuel-efficient route benefits the current transportation system with fuel-saving opportunities. This paper introduces a navigation application programming interface (API), route fuel-saving evaluation framework for estimating fuel advantages of alternative API routes based on large-scale, real-world travel data for conventional vehicles (CVs) and hybrid electric vehicles (HEVs). Navigation APIs, such as Google Directions API, integrate traffic conditions and provide feasible alternative routes for origin-destination pairs. This paper develops two link-based fuel-consumption models stratified by link-level speed, road grade, and functional class (local/non-local), one for CVs and the other for HEVs. The link-based fuel-consumption models are built by assigning travel from many global positioning system driving traces to the links in TomTom MultiNet and road grade data from the U.S. Geological Survey elevation data set. Fuel consumption on a link is computed by the proposed model. This paper envisions two kinds of applications: (1) identifying alternate routes that save fuel, and (2) quantifying the potential fuel savings for large amounts of travel. An experiment based on a large-scale California Household Travel Survey global positioning system trajectory data set is conducted. The fuel consumption and savings of CVs and HEVs are investigated. At themore » same time, the trade-off between fuel saving and travel time due to choosing different routes is also examined for both powertrains.« less

Authors:
 [1];  [1];  [1]
  1. National Renewable Energy Lab. (NREL), Golden, CO (United States)
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Vehicle Technologies Office (EE-3V)
OSTI Identifier:
1478730
Report Number(s):
NREL/JA-5400-70480
Journal ID: ISSN 0361-1981
Grant/Contract Number:  
AC36-08GO28308
Resource Type:
Accepted Manuscript
Journal Name:
Transportation Research Record
Additional Journal Information:
Journal Volume: 2672; Journal Issue: 25; Journal ID: ISSN 0361-1981
Publisher:
National Academy of Sciences, Engineering and Medicine
Country of Publication:
United States
Language:
English
Subject:
33 ADVANCED PROPULSION SYSTEMS; data analysis; evaluation and assessment; fuel consumption; global positioning system; hybrid vehicles; intelligent transportation systems; navigation

Citation Formats

Zhu, Lei, Holden, Jacob R., and Gonder, Jeffrey D. Navigation Application Programming Interface Route Fuel Saving Opportunity Assessment on Large-Scale Real-World Travel Data for Conventional Vehicles and Hybrid Electric Vehicles. United States: N. p., 2018. Web. doi:10.1177/0361198118797805.
Zhu, Lei, Holden, Jacob R., & Gonder, Jeffrey D. Navigation Application Programming Interface Route Fuel Saving Opportunity Assessment on Large-Scale Real-World Travel Data for Conventional Vehicles and Hybrid Electric Vehicles. United States. doi:10.1177/0361198118797805.
Zhu, Lei, Holden, Jacob R., and Gonder, Jeffrey D. Wed . "Navigation Application Programming Interface Route Fuel Saving Opportunity Assessment on Large-Scale Real-World Travel Data for Conventional Vehicles and Hybrid Electric Vehicles". United States. doi:10.1177/0361198118797805. https://www.osti.gov/servlets/purl/1478730.
@article{osti_1478730,
title = {Navigation Application Programming Interface Route Fuel Saving Opportunity Assessment on Large-Scale Real-World Travel Data for Conventional Vehicles and Hybrid Electric Vehicles},
author = {Zhu, Lei and Holden, Jacob R. and Gonder, Jeffrey D.},
abstractNote = {The green-routing strategy instructing a vehicle to select a fuel-efficient route benefits the current transportation system with fuel-saving opportunities. This paper introduces a navigation application programming interface (API), route fuel-saving evaluation framework for estimating fuel advantages of alternative API routes based on large-scale, real-world travel data for conventional vehicles (CVs) and hybrid electric vehicles (HEVs). Navigation APIs, such as Google Directions API, integrate traffic conditions and provide feasible alternative routes for origin-destination pairs. This paper develops two link-based fuel-consumption models stratified by link-level speed, road grade, and functional class (local/non-local), one for CVs and the other for HEVs. The link-based fuel-consumption models are built by assigning travel from many global positioning system driving traces to the links in TomTom MultiNet and road grade data from the U.S. Geological Survey elevation data set. Fuel consumption on a link is computed by the proposed model. This paper envisions two kinds of applications: (1) identifying alternate routes that save fuel, and (2) quantifying the potential fuel savings for large amounts of travel. An experiment based on a large-scale California Household Travel Survey global positioning system trajectory data set is conducted. The fuel consumption and savings of CVs and HEVs are investigated. At the same time, the trade-off between fuel saving and travel time due to choosing different routes is also examined for both powertrains.},
doi = {10.1177/0361198118797805},
journal = {Transportation Research Record},
number = 25,
volume = 2672,
place = {United States},
year = {2018},
month = {10}
}

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Works referenced in this record:

Trajectory Segmentation Map-Matching Approach for Large-Scale, High-Resolution GPS Data
journal, January 2017

  • Zhu, Lei; Holden, Jacob R.; Gonder, Jeffrey D.
  • Transportation Research Record: Journal of the Transportation Research Board, Vol. 2645, Issue 1
  • DOI: 10.3141/2645-08

Transportation Routing Map Abstraction Approach: Algorithm and Numerical Analysis
journal, January 2015

  • Zhu, Lei; Chiu, Yi-Chang
  • Transportation Research Record: Journal of the Transportation Research Board, Vol. 2528, Issue 1
  • DOI: 10.3141/2528-09

Emissions Analysis of Southern California Metrolink Commuter Rail
journal, January 1996

  • Barth, Matthew J.; Younglove, Theodore; Tadi, Ramakrishna R.
  • Transportation Research Record: Journal of the Transportation Research Board, Vol. 1520, Issue 1
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