Navigation API Route Fuel Saving Opportunity Assessment on Large-Scale Real-World Travel Data for Conventional Vehicles and Hybrid Electric Vehicles: Preprint

Research output: Contribution to conferencePaper

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 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). The navigation APIs, such 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 a large number of GPS driving traces to the links in TomTom MultiNet as the underlying road network layer and road grade data from a U.S. Geological Survey elevation data set. Fuel consumption on a link is calculated by the proposed fuel consumption 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 GPS 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 time saving for choosing different routes is also examined for both powertrains.
Original languageAmerican English
Number of pages19
StatePublished - 2017
EventTransportation Research Board (TRB) 97th Annual Meeting - Washington, D.C.
Duration: 7 Jan 201811 Jan 2018

Conference

ConferenceTransportation Research Board (TRB) 97th Annual Meeting
CityWashington, D.C.
Period7/01/1811/01/18

NREL Publication Number

  • NREL/CP-5400-70473

Keywords

  • fuel savings
  • fuel-saving assessment
  • GPS travel data
  • hybrid electric vehicles
  • navigation API

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