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L02: Establishing Monitoring Programs for Mobility and Travel Time Reliability Project Overview For the: L38 Preliminary Meeting August 1, 2012 George List, NC State

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Page 1: L02: Establishing Monitoring Programs for Mobility and ... · 117257821/28/2011 12:24 22 US50-E 298.514EB US50 JWO SB SR99 1125 - Traffic Hazard 117259271/28/2011 13:17 0 US50-E 64.033EB

L02: Establishing Monitoring Programs

for Mobility and Travel Time Reliability

Project Overview

For the:

L38 Preliminary Meeting

August 1, 2012

George List, NC State

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Main Work Products

• A guidebook that describes how to develop a travel time

reliability monitoring system (TTRMS)

• Supporting methodologies

• Data processing and management

• Data analysis

• Causal factor assessment

• Validation of the methodologies

• Illustrations of how to use a TTRMS

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Structure of the Monitoring System

• It requires new data feeds to capture data about the influencing

factors; it requires skill in statistical analysis to have greatest value

• It allows you to understand how much a system’s travel times vary,

what makes them vary, and (implicitly) what corrective actions

might help

3

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Analysis Methodology Overview

4

• The analysis process

involves several steps

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Both Vehicles and Facilities

Distribution of tv

for 7:05 PM on

Feb 25, 2011

20 min. 19 min.

21 min.

Midnight

Noon

Time of Day

TT-PDF for the

Segment / Route

Se

gm

en

t o

r R

ou

te

Non-recurring

event impacts

Travel times for

individual vehicles

Average travel times at a specific

time of day for different days

Distribution of tavg

for 7:05 PM

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Measurement Points

• A clean topology is needed to get clean data

7

Monuments,

Segments, Routes

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Imputation

• Clean and complete data are needed

• You are trying to monitor travel times at the 1-5 minute level

• You are monitoring variations across time, across distances, and

among vehicles

8

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9

AVI - Timestamps

AVL – Locations and Timestamps

Passage Times

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Extracting Travel Times

• Differentiating between trip- and travel-times is crucial

• Remove the trips with stops and side trips, or filter them out, but do

not interfere with incident detection

10

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Constant Transitions During Peaks

• The travel time world is richly varied

11

0

5

10

15

20

25

0:00:00 0:07:12 0:14:24 0:21:36 0:28:48 0:36:00 0:43:12 0:50:24 0:57:36 1:04:48 1:12:00

Tra

vel T

ime

Relative Minutes

Bluetooth-Based Vehicle Travel Time Trends, I-5 Northbound, Sacramento

5-6PM 1/24/11

7-8AM 1/27/11

8-9AM 2/2/11

7:30-8:30AM 2/8/11

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CDF Animations

12

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13

Vehicular Variance Trends

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Route Travel Times and Rates

14

τbc (sec/mi)

50 60 70 80 90 100 110

τab

(sec/mi)

60

80

100 8% 24% 5%

120 6% 21% 7% 1%

140 1% 7% 2%

160 1% 3% 2%

180 1% 2% 1%

200 2% 1%

220 1% 1%

240 1% 1%

260

280

300

>300

1

Use correlations

Use incidence matrices

Use cascading queues

Walk the time-space matrix

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Operating Regimes • Regimes help clarify the cause-effect relationships

• Regime = (congestion condition + non-recurring event condition)

• Regime = consistent system behavior

• Reflects traffic conditions

• Supports intuitive understandings

• How many regimes you need is site specific

• The impacts from non-recurring events vary widely and depend on congestion

15

None Weather Incident

High

Demand

Special

Event

Work

Zone

Uncongested

Low

Moderate

High

Event

Congestion

Level

Reliability Regimes

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Congestion Condition Labeling

16

22 2

1

1 n

r i r r i

i

x r and x rn

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Non-Recurring Event Data

17

DataTime Visib Wind Wind Spd Gust Spd Precip Events Cond

1/28/2011 0:53 10 Calm Calm - N/A Clear

1/28/2011 1:53 10 South 3.5 - N/A Clear

1/28/2011 2:53 10 Calm Calm - N/A Clear

1/28/2011 3:53 10 South 5.8 - N/A Clear

1/28/2011 4:53 10 Calm Calm - N/A Clear

1/28/2011 5:53 10 Calm Calm - N/A Clear

1/28/2011 6:53 10 Calm Calm - N/A Clear

1/28/2011 7:53 10 Calm Calm - N/A Clear

1/28/2011 8:53 10 Calm Calm - N/A Clear

1/28/2011 9:53 10 Calm Calm - N/A Clear

1/28/2011 10:53 10 NNE 3.5 - N/A Clear

1/28/2011 11:53 10 NE 4.6 - N/A Clear

1/28/2011 12:53 10 NNE 5.8 - N/A Clear

1/28/2011 13:53 10 NNE 9.2 - N/A Clear

1/28/2011 14:53 10 Variable 4.6 - N/A Clear

1/28/2011 15:53 10 SSW 5.8 - N/A Clear

1/28/2011 16:53 10 SSW 3.5 - N/A Clear

1/28/2011 17:53 10 Calm Calm - N/A Clear

1/28/2011 18:53 10 South 3.5 - N/A Clear

1/28/2011 19:53 10 Calm Calm - N/A Clear

1/28/2011 20:53 10 South 8.1 - N/A Clear

1/28/2011 21:53 10 SSW 3.5 - N/A Clear

1/28/2011 22:53 10 Calm Calm - N/A Clear

1/28/2011 23:53 10 Calm Calm - N/A Clear

1/29/2011 0:53 10 Calm Calm - N/A Clear

Incident Id Start Time Dur (min) Freeway Abs PM Location Description

11724869 1/28/2011 3:50 41 US50-E EB US50 ON 15TH ST OFR 1182 - Collision - Non Injury

11724935 1/28/2011 5:45 7 US50-E EB US50 ON POWER INN RD OFR 1125 - Traffic Hazard

11724958 1/28/2011 6:02 27 US50-E 5.89 EB US50 ON 34TH ST OFR 1182 - Collision - Non Injury

11725029 1/28/2011 6:55 0 US50-E EB US50 JEO EL DORADO HILLS BLVD 1126 - Disabled Vehicle

11725175 1/28/2011 7:57 2 US50-E 31.755 EB US50 JWO BASS LAKE RD 1125V - Traffic Hazard - Vehicle

11725425 1/28/2011 9:33 22 US50-E 17.601 EB US50 JWO SUNRISE BLVD 1125 - Traffic Hazard

11725782 1/28/2011 12:24 22 US50-E 298.514 EB US50 JWO SB SR99 1125 - Traffic Hazard

11725927 1/28/2011 13:17 0 US50-E 64.033 EB US50 AT HAZEL VALLEY RD 1183 - Collision - No Further Details

11726010 1/28/2011 13:49 10 US50-E EB US50 AT FRONT ST 1125V - Traffic Hazard - Vehicle

11726196 1/28/2011 14:51 59 US50-E 10.488 EB US50 JWO NB WATT AV 1183H - Collision - Blocking Lane - No Details

11726269 1/28/2011 15:11 23 US50-E EB US50 JWO POWER INN RD 1126 - Disabled Vehicle

11726302 1/28/2011 15:23 0 US50-E EB US50 JWO 48TH ST 1126 - Disabled Vehicle

11726453 1/28/2011 16:03 19 US50-E EB US50 JWO POWER INN RD 1179H - Collision - Ambulance - Blocking Lane

11726532 1/28/2011 16:29 0 US50-E 10.688 EB US50 AT NB WATT AV 1126 - Disabled Vehicle

11726568 1/28/2011 16:39 0 US50-E 26.68 EB US50 JWO E BIDWELL ST 1125 - Traffic Hazard

11726655 1/28/2011 17:04 2 US50-E 8.83 EB US50 JWO HOWE AV FIRE - Fire

11726737 1/28/2011 17:29 14 US50-E 5.89 EB US50 ON 34TH ST OFR 1125V - Traffic Hazard - Vehicle

11727378 1/28/2011 22:21 60 US50-E 26.88 EB US50 AT E BIDWELL ST 1126 - Disabled Vehicle

11727377 1/28/2011 22:25 0 US50-E 29.838 EB US50 JEO LATROBE RD 1126 - Disabled Vehicle

11727559 1/29/2011 1:25 20 US50-E 298.384 EB US50 JWO NB SR99 1126 - Disabled Vehicle

11727710 1/29/2011 6:12 1 US50-E 298.514 EB US50 JWO SB SR99 1125 - Traffic Hazard

Weather

Incidents and Other Events

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Non-Recurring Event Labeling

18

A

B

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Causal Factor Analysis

19

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Variations by Regime

20

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Mitigating Strategy Identification

21

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Portrayal and Data Storage • Working with PDFs and CDFs works great

• You can use the PDFs and CDFs to answer

every question

• Both are valuable, in different ways

• The raw CDFs and PDFs help the most with

insights

• Parametrically-based distributions aren’t really

helpful

• Non-parametric analyses are not difficult, they

lend insights that might otherwise be missed,

and they are intuitive

• You should store the CDFs

• They are easy to identify, easy to verify, and

intuitive

• The PDFs can be derived from them

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Travel Rates

• It is valuable to study travel rates (travel times / unit distance)*

• They allow comparisons among facilities

24

* Not speeds

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Thanks / Questions

25