Evaluation of Connected Vehicle Applications on Mahan Corridor - - PowerPoint PPT Presentation

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Evaluation of Connected Vehicle Applications on Mahan Corridor - - PowerPoint PPT Presentation

Evaluation of Connected Vehicle Applications on Mahan Corridor Phase I collaborators Florida Department of Transportation, City of Tallahassee, Control Technologies, WaveMobile, FAMU-FSU College of Engineering presented to Florida Automated


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SLIDE 1

Evaluation of Connected Vehicle Applications on Mahan Corridor – Phase I

collaborators Florida Department of Transportation, City of Tallahassee, Control Technologies, WaveMobile, FAMU-FSU College of Engineering presented to

Florida Automated Vehicles (FAV) Summit, Tampa, Florida

presented by

Ren Moses, Raj Ponnaluri, and Emmanuel Kidando FAMU-FSU College of Engineering Tuesday, November 27, 2018

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SLIDE 2

Presentation Outline

  • Introduction
  • Purpose & Scope
  • Planning
  • Procurement & Installation
  • Testing
  • Evaluation
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SLIDE 3

Introduction

  • The study corridor is

located along Mahan Drive, US 90, Tallahassee

  • The study corridor is

approximately 7.7 miles with 21 signalized intersections

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SLIDE 4

Purpose & Scope

  • Test DSRC in communicating SPaT/

MAP to OBUs

  • Evaluate SCMS
  • Integrate pedestrian applications
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SLIDE 5

Planning of the Project

  • The project is FDOT response to SPaT Challenge issued

by AASHTO, ITE, and ITS America (ITSA)1

  • The challenge was “infrastructure owners and operators

(IOO) to cooperate together to achieve deployment of DSRC infrastructure with SPaT broadcasts in at least

  • ne corridor or network (approximately 20 signalized

intersections) in each of the 50 states by January 2020”.

1Ref: https://transportationops.org/spat-challenge-infrastructure-system-model-concept-

  • perations
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SLIDE 6

Procurement

  • FDOT managed vendor selection
  • Technical proposal were reviewed and shortlisted
  • Shortlisted vendors were invited for testing
  • The bids were opened for vendor that successfully

tested their equipment

  • Final score were based on technical and financial

score

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SLIDE 7

Installation

  • Install – FDOT and vendor
  • Integrate – City, FDOT, vendor
  • Testing – City, FDOT, vendor
  • Training – Vendor
  • Evaluation – FAMU-FSU College of Engineering
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SLIDE 8

Installation - MAP Data

  • FDOT hired a consultant to

create the MAP data

  • J2735 MAP Creator Tool is

maintained by USDOT

  • MAP data includes lanes,

stop bars, signal group assignments, etc.

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SLIDE 9

Installation - MAP Data

  • MAP Creator Tool

provided by the USDOT is easy to use/create MAP data

  • There are challenges to

make them work in the field

  • Need to be properly coded
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SLIDE 10

Installation

Typical architecture of the installed system

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SLIDE 11

Installation

  • 31 RSUs were installed
  • Some intersections have

two RSUs

  • 4 OBUs have been

acquired for the study

Displaying Unit OBU RSU

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SLIDE 12

Testing & Deployment of the System

  • DSRC Multi-Channel Test Tool (MCTT) was used to

evaluate:

❖ Interoperability ❖ Amount of data sent by the RSUs ❖ Verify transmitted digital data and protocol received

from RSUs

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SLIDE 13

Operational Evaluation

The following are being evaluated:

  • SPaT/MAP broadcasting
  • Security Credentials Management System (SCMS)
  • Integration of pedestrian applications
  • Integration of CV data into ATSPM
  • CV/ATSPM performance measures dashboard
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SLIDE 14

Security Credentials Management System (SCMS)

  • Issue certificates
  • Authenticate

messages

  • Revoke and report

misbehaving certificates

Source: USDOT

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SLIDE 15

SCMS Procurement and Installation

  • FSU advertised RFQ
  • Four companies responded to the RFQ
  • Two companies were selected in the project
  • Implementation of the system is on progress
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SLIDE 16

Integration of Pedestrians Applications

Pedestrians applications to facilitate:

  • Pedestrian vehicle communication
  • Pedestrian transit communication
  • Pedestrian traffic signal communication
  • Pedestrian freight communication
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SLIDE 17

Integration of CV Data into ATSPM

  • ATSPM uses high resolution

data collected by the traffic signal controller to produce traffic performance measure charts

  • Concept developed by Purdue

Univ., FHWA, AASHTO, and software by Utah DOT

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SLIDE 18

CV/ATSPM Performance Measures Dashboard