Drivers decision-making supported by The Snow Visibility Information - - PowerPoint PPT Presentation

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Drivers decision-making supported by The Snow Visibility Information - - PowerPoint PPT Presentation

Drivers decision-making supported by The Snow Visibility Information system Kokubu, T bu, T., , Takec echi hi, H H., ., Har arad ada, Y., Om ., Omiya, S S., and M ., and Mats atsuzawa, M M Civil E Engi gineer neering R ng


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SLIDE 1

Drivers’ decision-making supported by The Snow Visibility Information system

Kokubu, T bu, T., , Takec echi hi, H H., ., Har arad ada, Y., Om ., Omiya, S S., and M ., and Mats atsuzawa, M M

Civil E Engi gineer neering R ng Resear earch I h Institut ute f e for C Cold R d Region (

  • n (CERI),

), P PWRI, , Japan an

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SLIDE 2

Introduction

Hokkaido is the northernmost island of Japan. Hokkaido

Sapporo, CERI

[ 2 ]

Jan 30, 2012 Iwamizawa 30km (19miles), NE. of Sapporo

Max:208cm=6ft9in

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SLIDE 3

Background

[ 3 ]

* 40% of road closures - snowstorms

Snowfall Snowstorm

Avalanche Risk of avalanche 5% Landslide Risk of landslide Road flooded Risk of road flooded 1% Bank collapsed 1% High wave Flood Eruption

Winter Summer

National road closure in Hokkaido 1998 - 2007 Total ; 2020 times Snowstorms cause ... Poor visibility Snowdrifts

Causes of national road closure in Hokkaido

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SLIDE 4

Reduce damage caused by snowstorms ... Road: Installation of blowing-snow control measures Driver: Help drivers to make safer decisions

Snowstorm visibility information Chose safer route Visibility Information Snowstorm Information Blowing-snow control facilities

Background

Snow fences Snow break woods

[ 4 ]

* Control measures are installed in areas storms frequently occur. * Recently, bomb cyclones cause blowing-snow. * Snow-control facilities require much time and cost to construct, so cannot address sudden storms.

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SLIDE 5
  • What’s New
  • Distance & Time
  • Mountain Pass / Live

Camera

  • Road Map
  • Links to Weather Info

Snowstorm visibility infomation

URL: http://northern-road.jp/navi/

“Northern Road Navi” Website”

  • Portal Site for Road in Hokkaido -

 Hokkaido Road Information Website

+

Contents

Objectives

[ 5 ]

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SLIDE 6

Relationship between visibility during snowstorms and the mass flux of snow

……… (1) (Takechi, 2009)

Method of estimating visibility during snowstorms

 The mass flux of snow is the mass of snow particles snow particles passing through a specific unit cross-section during a particular unit time Vis [m] : Visibility Mf [g/m2/s] : Mass flux of snow

[ 6 ]

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SLIDE 7

Relationship between the mass flux of snow and the snow concentration

Mf [g/m2/s] : Mass flux of snow N [g/m3] : Snow concentration V [m/s] : Wind velocity

 The snow concentration is the mass of snow particles in a particular unit space

Mass Flux of snow Snow Concentration Wind velocity

…………(2)

Method of estimating visibility during snowstorms

[ 7 ]

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SLIDE 8

Method of estimating the snow concentration

(Matsuzawa et al,1998)

Snowfall Drifting snow

…………(3) P [g/(m2s)] : Snowfall intensity wf [m/s] : Falling velocity of snowfall particles ( = 1.2 [m/s]) wb [m/s] : Falling velocity of suspended snow particles ( = 0.35 [m/s]) z [m] : Height of the viewpoint of small-vehicle drivers ( = 1.2 [m]) zt [m] : Reference height (0.15 [m]) Nt [g] : When snowfall intensity is high. Nt = 0.166・e0.309・V10 When snowfall intensity is low or zero Nt = 0.274・e0.401・V10 (Where, V10 is the wind velocity at a height of 10 m) U* : Friction velocity ( = 0.036×V10) K : Karman’s constant ( = 0.4)

 Estimation using snowfall intensity, wind velocity and air temperature

Method of estimating visibility during snowstorms

[ 8 ]

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SLIDE 9

 In providing the information, to facilitate understanding of visibility during snowstorms, the estimated visibility was classified into five levels ranging from 1,000 m or more to less than 100 m.

Judgment of visibility conditions

Method of estimating visibility during snowstorms

[ 9 ]

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SLIDE 10

Snowstorm Visibility Information System

Snowstorm Visibility Information for PCs

[ 10 ]

Hakodate Muroran Otaru Rumoi Kushiro Abashiri Wakkanai Asahikawa Sapporo As of March 10 2015,15:00(It’s renew 30minitues)

Forecast

24 hour later Snowstorm Visibility Information for smart phone

Area: 221 areas in Hokkaido

Good (1,000m or more) Good (1,000m or more) Somewhat poor (500-999m) Poor (200m-499m) Quite poor (100-199m) Significantly poor (less than 100m)

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SLIDE 11

( ) □less than 500m □less than 200m □less than 100m □3hours □6hours

Conditions for Automatic E-mail Delivery Receive e-mails informing of poor visibility forecasts

fuyumichi@time-n-rd.jp xxsampleaddressxx@ceri.go.jp

Reduction of visibility in the nemuro north area 200 m is expected over the next 6 hours due to snowstrom. Please monition conditions and consider you safely when driving during his period INemuro north area Nakashibetsu town 1hour delya : visibility less than 100m Shibecha town 1hour delya : visibility less than 100m : : ↓↓for details↓↓ PC web site http://northern-road.jp/navi/touge/fubuki.htm 6 o’clock:Reduction in visibility range

Reduction of visibility in the Nemuro north area

200 m is expected over the next 6 hours due to snowstrom. Please monition conditions and consider you safely when driving during his period. Nemuro north area Nakashibetsu town 1hour delay : visibility less than 100m Shibecha town 1hour delay : visibility less than 100m : ↓↓for details↓↓ For PC website http://northern-road.jp/navi/touge/fubuki.htm :

2015 15/0 /01/ 1/09 09 06:01 01:12 12

E-mail delivery service

[ 11 ]

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SLIDE 12

The number of visitors to the Snowstorm Visibility Information Website

( this winter )

[ 12 ]

30,000 20,000 10,000

December

Page views per day

MAX:30,547views

Mean for Nov. 28 through Mar. 31 4,154 views per day February The Japan Meteorological Agency announced that the snowstorm would be on a scale of that occurring only

  • nce in several years.

March January

Cumulative page views (PC and smartphone)

November

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SLIDE 13

Implemental method: questionnaire is the home page. Period of the execution: 2015. 4.21~5.20 The number of respondents: number of 483 Users questionnaire.

[ 13 ]

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SLIDE 14

Aim of a questionnaire survey:

  • Of the user, to grasp the Utilization of snowstorm

visibility information.

  • And, we want to clarify the validity.
  • We wants to clear the future problem.
  • Website service
  • satisfaction
  • change is doing plane
  • E-mail service
  • satisfaction
  • behavir change planning answers

Users questionnaire.

[ 14 ]

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SLIDE 15

The attribute of the questionnaire respondent

[ 15 ]

Respondents: 473 The main use purpose The age composition

20 Year Old Generation, 3% 30 Year Old Generation, 13% 40 Year Old Generation, 35% 50 Year Old Generation, 33% 60 Year Old Generation, 13% More than 70 years old , 3%

Respondents: 473 Respondents: 429

81%

Commuting, 21% Work (transport), 6% Work(road management), 10% Work (other), 26% Traveling, 17% Go to hospital and shopping, 16% Other, 4%

63%

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SLIDE 16

Questionnaire survey results on the usefulness of visibility forecast information provided

[ 16 ]

Respondents: 259

Satisfied 46% Very satisfied 13% Somewhat satisfied 29% Somewhat dissatisfied 10% Dissatisfied 2% Very dissatisfied 0%

Website for smartphones

Website for smartphones Website for PCs Respondents: 263

Satisfied 43% Very satisfied 11% Somewhat dissatisfied 10% Dissatisfied 4% Very dissatisfied 0% Somewhat satisfied 32%

88% 90%

How satisfied are you with the services provided by the Snowstorm Visibility Information System?

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SLIDE 17

Questionnaire survey results on almost Change behavior visibility forecast information provided

I always or often change my travel plans or schedule. 79% I always or often keep my travel plans or schedule unchanged. 19% Poor visibility of 200 m or less has never been predicted in the forecast area. 3%

Breakdown

60% 59% 40% 22% 7% 4% 0% 20% 40% 60% 80%

I changed my departure time. I refrained from going out

  • r traveling.

I changed my route. I brought a shovel and warm clothing. I canceled my driving plans and used public transport. Other

Multiple answers (Respondents 352) Excluding two respondents who gave no answers Respondents: 448

How likely is it for you to change your schedule or travel plans when poor visibility of less than 200 m is predicted by the Snowstorm Visibility Information System?

[ 17 ]

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SLIDE 18

z

Commuting, 21% Work (transport), 6% Work(road management), 10% Work (other), 26% Traveling, 17% Go to hospital and shopping, 16% Other, 4%

classification Purpose of the questionnaire Commuting

 Commuting

Work

 Work(transport)  Work (road management)  Work(other)

Private

 Traveling  Going out shopping and go to hospital  Other Use classification for cross-tabulation Respondents: 429

Segmenting for carrying out a cross-tabulation

We do cross-tabulation of the questionnaire. The attributes of the respondents I be classified as follows.

[ 18 ]

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SLIDE 19

I always or often change my travel plans or schedule. 79% I always or often keep my travel plans or schedule unchanged. 19% Poor visibility of 200 m or less has never been predicted in the forecast area. 3%

classification Purpose of the questionnaire Commuting

 Commuting

Work

 Work(transport)  Work (road management)  Work(other)

Private

 Traveling  Going out shopping and go to hospital  Other Respondents: 448

77% 77% 88%

23% 23% 12%

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%

通勤 仕事 私用その他

Commut

  • ing

(N=95) Work (N=184) Private (N=154)

The behavior and the schedule are changed or often changed. The behavior and the schedule are not changed or often changed.

Of the respondents whose main purpose in accessing the website is to check on snowstorms before private, many canceled their travel plans.

[ 19 ]

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SLIDE 20

Respondents: 259

Website for smartphones

Respondents: 263

Very satisfied 13% Satisfied 44% Somewhat satisfied 33% Somewhat dissatisfied 7% Dissatisfied 1% Very dissatisfied 2%

Questionnaire survey results on the usefulness and response to information E-mail service

88%

How satisfied are you with the e-mail delivery services? How did you make use of the e-mail information?

[ 20 ]

63%

Visited the Snowstorm Visibility Information website for detailed information. 46% Referred to the information received via e- mails in making travel plans. 27% Checked weather warnings and

  • ther information.

17% Checked the information received via e- mail alone. 8% Didn’t make use

  • f the information

received via e-

  • mail. 1%
  • Other. 1%
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SLIDE 21

With an aim of supporting drivers' decision-making during snowstorms, the authors conducted tests by providing road users with snowstorm visibility information. It was confirmed that the information provided was useful as summarized below:

  • The result a lot of people of the questionnaire was Good with this

website

  • The results of a questionnaire survey showed that users of the

Snowstorm Visibility Information System change their travel plans by referring to the information on this website.

  • The results of another questionnaire survey showed that users of

the e-mail delivery service actively seek related information after receiving e-mails about poor visibility

Summary

[ 21 ]

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SLIDE 22

Than hank you

  • u for
  • r

your

  • ur kind

nd at attent ntion