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measuring travel time reliability in the City of Calgary By - - PowerPoint PPT Presentation

Finding an appropriate methodology for measuring travel time reliability in the City of Calgary By S.Tahmasseby and E. Kok- Transportation Planning 02/05/2016 1 Finding an appropriate methodology for measuring travel time reliability in the


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Finding an appropriate methodology for measuring travel time reliability in the City of Calgary

By S.Tahmasseby and E. Kok- Transportation Planning

02/05/2016

Finding an appropriate methodology for measuring travel time reliability in the City of Calgary

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BACKGROUND AND STUDY MOTIVATION

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I. Calgary in the province of Alberta, Canada is an intersection

  • f two major transportation corridors:

i. The Trans-Canada Highway ii. The Queen Elizabeth II Highway (known as Deerfoot Trail in Calgary)

  • II. Calgary is a key distribution centre of Asia-Pacific related

imports and exports

  • III. Truck shipment accounts for 46% of imports and 64% of

exports

  • IV. Between 2005 and 2007, the number of registered

commercial vehicles in Calgary increased from 88,386 to 110,500, (25 %), while Calgary’s population increased by 7%

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The Nationwide Trans-Canada Highway (in Red) and the provincial Queen Elizabeth II Highway in Alberta (in Green)

Alberta

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Goods movement corridors

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Goods movement corridors in Calgary

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  • Glenmore Tr.
  • Deerfoot Tr.
  • Stoney Tr.
  • Metis Tr.
  • Airport Tr.
  • Peigan Tr.
  • Beddington Tr.
  • 16th Ave (TransCanada Highway)
  • Barlow Tr.
  • 52nd St.
  • Sarcee Tr.
  • 50 Ave SE-Ogden Rd.

In total : 465 KMs

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How to improve mobility on the goods movement corridors?

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  • I. Using travel time reliability as one of the

citywide benchmarks, which is monitored continually

  • II. Monitoring

travel time reliability

  • n

goods movement corridors over time to appraise: << the effects of network improvements/ rehab programmes

  • n

traffic congestion and delay >>

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Travel time reliability indicators

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  • The 95 percentile travel time;
  • The buffer time index;
  • The planning time index.
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Traditional methods to measure travel time have drawbacks

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  • I. Installation and maintenance

costs can be excessive

  • II. Incapability to precisely

measure travel time

  • III. In case of camera systems,

lack of measuring speed variations between two camera locations IV.The reliability of camera and loop systems depends on calibration and validation

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Alternative technologies for measuring travel time and speed being used by Transportation Planning in the City of Calgary

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  • Stationary Sensors Data e.g. BluFAX System

(Bluetooth Technology)

  • Crowdsourcing Technology
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Bluetooth technology

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  • Sensors continually detect and

record Bluetooth signals as they come in range

  • Each signal’s unique Media Access

Control (MAC) address is recorded alongside date and time of the day

  • By comparing the records from

different sensors, travel time for MAC addresses detected at multiple sensors will be computed

Time: 9:15:58 AM Time: 9:13:26 AM 3 KMs Travel time: 2:32 Min Speed: 71 Km/hr

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BLUETOOTH TECHNOLOGY WIDELY USED BY THE CITY OF CALGARY

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Bluetooth Technology Advantages

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1. Simple and easy to understand 2. Cost-effective data collection 3. Easily and reliably measured data 4. Always feasible given the regions’ prolonged and harsh winters 5. Adequacy in terms of sample size 6. Verified accuracy through multiple studies

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Bluetooth technology shortcomings

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  • I. Upfront costs for procurement and installation
  • f BluFAX units
  • II. Maintenance and babysitting of the units
  • III. Reliability of the units: Occasional interruption

and disconnection to the TMC server

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Study period: PM peak in working days

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Crowdsource Based DATA Technique

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  • I. Crowdsource based data does not

need any installation or maintenance

  • f roadside equipment
  • II. It replaces a large amount of

fieldwork with office work, resulting in cost savings and enabling well-

  • rganized assignment of resources
  • n the network
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Examined Crowdsourcing Technologies

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  • INRIX
  • TOMTOM
  • CELLINT
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INRIX Traffic

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  • Advantages:
  • Sample size: Vast database, sourced and compiled

data from 500 different sources

  • Disadvantages:
  • Accuracy not verified yet
  • INRIX Analytics tool is still not available in Canada
  • Need to Create an in-house program to compile the raw

data

  • Demand a lot of personnel time to analyze the raw data
  • Costly (USD 33K for 13 corridors)
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TomTom

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  • Advantages:
  • User-friendliness of Traffic Stats Portal
  • Customizable scenario-based reports generation
  • Prepared travel time indices and speed
  • Disadvantages:
  • Relatively small sample size in North America
  • Inappropriate for low used routes and short period

studies due to inadequate sample size and thus accuracy degradation

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Cellint

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  • Advantage:
  • Real time traffic data based on Mobile Network

Location and Location Information System

  • Disadvantages:
  • Historical travel time data can be restored

maximum for up to past 6 months

  • Costly: $ 34 K per annum for a limited data release
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Chosen crowdsourcing technology

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Based on a comparative study amongst INRIX, TOMTOM , and CELLINT with regards to our needs, budget constraint , personnel time and availability We opted for TOMTOM

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TomTom Traffic Stats Portal

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The report will contain a spreadsheet with statistics on average traffic characteristics for each time period, a set of graphs and a visualization file.

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Comparative Travel Time Reliability Study On 52nd S.E.- a 2.week study (BluFAX vs. TomTom)-Accuracy Verification

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Indicator Tech: BluFAX Tech: TomTom Difference Number of observations 3434 960 N/A Detection rate 2.3% 0.6% N/A Weekday Average Travel Time (min:sec) 11:18 11:54 5.25% Weekday 95 Percentile Travel Time (min:sec) 18:18 18:36 1.38% Weekday Buffer Index (%) 62.1% 55.7%

  • 11.41%

Weekday Planning Time Index (%) 264.7% 268.3% 1.34% Weekday Average Speed (km/hr) 42.0 37.7

  • 11.31%

* Total traffic volume for the entire study period: 150,000

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Case Study- Glenmore tr. (Discovery Ridge- Deerfoot Tr.)

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77% 61% 84% 77% 61% 40% 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% Glenmore Tr (Discovery Ridge- Deerfoot)-WB Glenmore Tr (Discovery Ridge- Deerfoot)-EB 2012 2013 2014 86% 75% 59% 32% 66% 42% Glenmore Tr (Discovery Ridge- Deerfoot)-WB Glenmore Tr (Discovery Ridge- Deerfoot)-EB 2012 2013 2014

Weekday peak periods buffer time index Weekday 24 hour buffer time index

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Study findings

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  • I. Bluetooth technology could be principally

considered as a benchmark to assert the performance of other data sources (e.g. TomTom, INRIX)

  • II. Given the TomTom Traffic Stats results, the

technology might have potentiality to be used as an alternative method for travel time studies, despite the inadequacy of the number of records

  • III. Statistical tests demonstrated the applicability
  • f the TomTom Traffic Stats and similar portals

for travel time reliability studies

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Conclusions

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  • I. We examined three different Crowdsource

based technologies and found out that TomTom would be the best appropriate one for Calgary based on our needs, budget and personnel availability

  • II. Crowdsourcing technologies could be used with

a special caution for travel time studies and may result in significant cost savings for traffic and transportation agencies. We found that the technology was suitable for Calgary

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Thank you for your attention

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Any question(s)

Shahram Tahmasseby, Ph.D., P.Eng. Transportation Planning The City of Calgary T 403.268.5120