52817718 si 5141 amp sj 5122 review transport network modeling

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Harun al-Rasyid LUBIS http://personal.ftsl.itb.ac.id/halubis/ Fakultas Teknik Sipil dan Lingkungan ITB SI- 5141 Perencanaan & Pemodelan Transportasi SJ-5122 Perencanaan Transportasi & Pengembangan Review Transportation Network Modeling

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Harun al-Rasyid LUBIS

http://personal.ftsl.itb.ac.id/halubis/

Fakultas Teknik Sipil dan Lingkungan ITB

SI- 5141 Perencanaan & Pemodelan Transportasi

SJ-5122 Perencanaan Transportasi & Pengembangan

Review Transportation Network Modeling

11/11/2010 2

Review : Model Transport 4 Tahap

Trip Generation

Trip Distribution

Modal Split

Trip Assignment

Volume Lalu Lintas

Jaringan Transportasi

SistemZona

Tata Guna Lahan dan Karakteristik Sosio

Ekonomi

Traffic (Trip) Assignment

Trip Generation

Trip Distribution

Transit Estimation & Mode Split

Time-of-Day & Directional Factoring

Transit Person Trip Table

(O&D)

Vehicle Trip Table

(O&D)

Trip Assignment

Loaded Transit

Network

Loaded

Highway

Network

Net

wo

rk

mo

de

ling

Review

11/11/2010 5

Asal/Origin (O)

Tujuan/Destination (D)

Perjalanan/Trip (t)

Perjalanan/Trip

D5

D1

O

D2D3

D430%

20%

10%

25%

15%

Bangkitan seluruh perjalanan dari zona asal (O)

Distribusi seluruh perjalanan dari zona asal (O) ke semua zona tujuan (D)

Mobil Pribadi 25%

Kendaraan Umum 20%

Motor 30%

Tak Bermotor 15%

Jalan Kaki 10%

Tujuan/Destination

(D1)

Asal/Origin (O)

Asal/Origin (O)

Tujuan/Destination

(D1)

t

Pemilihan/pemisahan perjalanan menurut jenis moda dari zona asal (O) ke zona tujuan (D1)

Pembebanan perjalananmenurut jenis modakepada rute-rute(jaringan) diantarapasangan zona asal (O) dan zona tujuan (D) utk public dan private transport

Terminology• Network, node and links

(arcs)

• Highway/trip assignment• Transit trip assignment• All-or-nothing assignment• Equilibrium assignment

• Cost-flow or volume-delay function

• Free-flow speed• Free-flow travel time• Generalized cost

• Path finding

• Impedance

• Waiting time

• Access time

• Path loading

• Level of service

• Capacity restraint

11/11/2010 7

MODELING & SAMPLING in Transport

11/11/2010 8

11/11/2010 9

Asumsi Dasar Model Transport

• Pola interaksi dan perilaku

• Memaksimalkan utilitas

• Kesetimbangan (equilibrium)

• Agregasi

11/11/2010 10

Interaksi Transport – Tata Guna LahanPemilihan

Rute

PemilihanModa

PemilihanTujuan

Keputusan Melakukan Perjalanan

KepemilikanKendaraan

Aktifitas

Penempatan Lahan

Pembangunan

Pemilihan Lahan oleh Investor

Pemilihan Lahan oleh Pengguna

Daya Tarik Lahan

Aksesibilitas

Waktu Tempuh/Jarak/Biaya

Volume di Ruas Jalan

TRANSPORTASI

GUNA LAHAN

Tata ruang dan transportasi

RUANGAKTIVITAS

POTENSI PERGERAKAN

PERFORMANCE INDICATORSISTEM

TRANSPORTASI

aksesib

ilit

as

Hambata

nru

ang

Kapasitas

Direpresentasikan oleh:

1. Jaringan transportasi

a. Prasarana

b. Sarana

2. Pengaturan

RUANGAKTIVITAS

POTENSI PERGERAKAN

PERFORMANCE INDICATORSISTEM

TRANSPORTASI

aksesib

ilit

as

Hambata

nru

ang

Kapasitas

Direpresentasikan oleh:

1. Jaringan transportasi

a. Prasarana

b. Sarana

2. Pengaturan

11/11/2010 12

Proses Pemodelan Transport

“Best fit” model

Variabel model

Base year data

Spesifikasi Model

Struktur model

Kalibrasi Model

Validasi Model

Validation data

Predicted data

Implementasi Model Out put model

Analisis

11/11/2010 13

Estimation Calibration Validation Application

Validation and Reasonableness Checks

Transit Assignment

Results 2001 Base Case

Observed vs Predicted Transit Line Boardings

0

2000

4000

6000

8000

10000

12000

14000

0 2000 4000 6000 8000 10000 12000

Observed

Pre

dic

ted

PRED

Total Boardings by Sub-Mode OBS PRED RMSE RMS%

Durham Bus 7499 7164 126.1891 1.68%

York Bus 7111 7280 143.0784 2.01%

Peel Bus 38497 40217 332.7368 0.86%

Halton Bus 4536 4990 81.51716 1.80%

HSR Bus 15982 16337 292.8422 1.83%

GO Bus 7172 7353 399.3889 5.57%

GO Rail 13659 13735 645.6756 4.73%

TTC Bus 282084 260041 1038.175 0.37%

TTC Prem Bus 672 101 176.9569 26.33%

TTC Subway 254060 235691 9103.319 3.58%

TTC Streetcar 47097 47097 1201.121 2.55%

Overall 678369 640006 1036.107 0.15%

Final parameter settings with embedded transit fares seem to be providing good assignment of transit trips to lines and sub-modes.

11/11/2010 15

Acceptable Ranges of Error

The Number of Boarding and Alighting in Tehran Transit Stops in Morning Peak Hour, 2003

11/11/2010 17

Sistem Zona (kecamatan) contoh : Jakarta Mass Rapid Transit System Study

211

241

212

213

214215

216

217

218

231

227

226

225

224

223

232

234

233

222

242

245

246

249

238237

236

235

244

243

251

253

259

261

254

248

247

255

256

257

258271

Zona Internal

Zona Eksternal

Greater Bandung Metropolitan Public TransportZoning

13 Zones based on Density

5 6 7

2 3 41

North BMA (Cimahi +Bandung Barat)1 = Kota Cimahi2 = Kota Bandung 23 = Kota Bandung 34 = Kota Bandung 45 = Kota Bandung 56 = Kota Bandung 67 = Kota Bandung 7

South West

Bandung

South East

Bandung

South West BMA South East BMA

Sumedang

Greater Bandung Metropolitan Public TransportSocio-economic Analysis

Population and GDP by Zones in BMA (2006)

No. DescriptionPopulation in

1,000

GDP per

capita in Mio

Rs

Zone 1 Kota Bandung 1 375

Zone 2 Kota Bandung 2 475

Zone 3 Kota Bandung 3 263

Zone 4 Kota Bandung 4 234

Zone 5 Kota Bandung 6 525

Zone 6 Kota Bandung 5 307

Zone7 North BMA 950 13

Zone 8 South West BMA 1.105 15

Zone 9 South East BMA 545 13

Zone10 South East Bandung 800 15

Zone 11 South West Bandung 710 15

Zone 12 Cimahi NW Bandung 520 16

Zone 13 Special Zone Sumedang 235 9

18

Zone x

Zone z

Zone y

Greater Bandung Metropolitan Public Transport

Methodology of the Analysis of Traffic Pattern in BMA (1)

Commuter Rail

Toll Road

Bus Line

Traffic Volume

Each Zone is tripsGenerator and attractor

SPESIFIKASI JARINGAN

DI PERSIMPANGAN

Coding jaringan di persimpangan

1

2

3

4

25 December 12, 2006Florida Model Task Force

Corradino

Rail Station Micro-coding

StreetsBus platform node

Rail platform nodeMetroRail

PNR KNR

Time= ~1 min

Time= ~0.5 min

Time= ~2 min

Time= ~2 min

Access Connectors

Escalator Link

Time= ~1 min

Source: AECOM Consult

Trip Assignment Methods

•All-or-nothing assignment

•Equilibrium assignment (approximation!)

•Stochastic assignment

APPLICATIONS:

•Road assignment

•Transit assignment (for public transport)

11/11/2010 28

Trip Assignment -Path Selection

Trip AssignmentObjectives:

• Explain the concept of an all-or-nothing assignment

• Explain the concept of an equilibrium assignment

• Mathematical formulation & finding solution + algorithm

• Identify the cost-flow or delay-flow function

Inputs and OutputsInputs

• O&D trip table

• Coded network

Outputs

• Link flows as per coded network

• Link travel times/speeds

• VMT

• Vehicle hours of travel

Step 3:

Continue until

trips between all

TAZ pairs have

been assigned

Step 2:

Assign all trips to

links

compromising

shortest route

Step 1:

Find Shortest

route between

the TAZs

All-or-Nothing Assignment

Advantages

•Simple

•Inexpensive

•Results easy to understand

Disadvantages

•Assumes all traffic will travel on shortest path

•Creates unrealistic flow patterns

Logit model

Can set Ui = 1/tti, but if you do, will need a calibration coefficient

Can set Ui = -tti

(7)

(8)

(9)

67

24

9

These resultsFrom this specification

Capacity Restraint

• Volume-delay relationship

• Average travel speed decreases with increased flow (volume)

• Average travel time increases as the volume-to-capacity ratio on a link increases

• The Bureau of Public Roads (BPR) formula, used as default in

most model packages

shows this relationship:

Travel time depends on the loading, but the loading depends on the travel time – it’s an iterative process