Evaluating bus running time variability in high-frequency operation using automatic data collection systems

Seyed Mohammad Hossein Moosavi, Amiruddin Ismail, Ardalan Balali

Research output: Contribution to journalArticle

Abstract

Bus services usually tend to be irregular and their level of irregularity depends on various factors, such as crowding level, terminal departure behaviour, passengers’ behaviour, operator behaviour, traffic and weather condition and etc. High-frequency bus routes have shorter headways (usually headway less than 10 to 15 minutes) and higher passenger demand compared with normal routes. Therefore, level of irregularity can be even higher in bus service at high-frequency operation. Running time variability comes from both systematic changes in ridership and traffic levels at different times of the day, which can be accounted for in service planning, and the inherent stochasticity of homogeneous periods, which must be dealt with through real-time operations control. This study evaluated impact of ridership changes and traffic condition through time of the day on running time variability, using Automatic Vehicle Location system (AVL) and Automatic Fare Collection system (AFC). All data extracted and collected from RapidKL Company for route U32, which is a high-frequency route in downtown of Kuala Lumpur. Descriptive analysis on data showed a high variation in running times, especially in morning peak hours. A liner regression model also proved than crowding level (extracted from AFC data), number of stops and congestion zones have relatively high impact on running time variation.

Original languageEnglish
Pages (from-to)109-116
Number of pages8
JournalPertanika Journal of Science and Technology
Volume25
Issue numberS5
Publication statusPublished - 1 May 2017

Fingerprint

Motor Vehicles
Information Systems
traffic
Automation
Transportation charges
weather
planning
Planning
congestion
stochasticity
liner
Weather
bus
Industry
services

Keywords

  • AFC
  • AVL
  • Bus service
  • High-frequency
  • Running time
  • Variability

ASJC Scopus subject areas

  • Computer Science(all)
  • Chemical Engineering(all)
  • Environmental Science(all)
  • Agricultural and Biological Sciences(all)

Cite this

Evaluating bus running time variability in high-frequency operation using automatic data collection systems. / Moosavi, Seyed Mohammad Hossein; Ismail, Amiruddin; Balali, Ardalan.

In: Pertanika Journal of Science and Technology, Vol. 25, No. S5, 01.05.2017, p. 109-116.

Research output: Contribution to journalArticle

@article{9e8e6cdf07dc43d0a18375c3882e44a3,
title = "Evaluating bus running time variability in high-frequency operation using automatic data collection systems",
abstract = "Bus services usually tend to be irregular and their level of irregularity depends on various factors, such as crowding level, terminal departure behaviour, passengers’ behaviour, operator behaviour, traffic and weather condition and etc. High-frequency bus routes have shorter headways (usually headway less than 10 to 15 minutes) and higher passenger demand compared with normal routes. Therefore, level of irregularity can be even higher in bus service at high-frequency operation. Running time variability comes from both systematic changes in ridership and traffic levels at different times of the day, which can be accounted for in service planning, and the inherent stochasticity of homogeneous periods, which must be dealt with through real-time operations control. This study evaluated impact of ridership changes and traffic condition through time of the day on running time variability, using Automatic Vehicle Location system (AVL) and Automatic Fare Collection system (AFC). All data extracted and collected from RapidKL Company for route U32, which is a high-frequency route in downtown of Kuala Lumpur. Descriptive analysis on data showed a high variation in running times, especially in morning peak hours. A liner regression model also proved than crowding level (extracted from AFC data), number of stops and congestion zones have relatively high impact on running time variation.",
keywords = "AFC, AVL, Bus service, High-frequency, Running time, Variability",
author = "Moosavi, {Seyed Mohammad Hossein} and Amiruddin Ismail and Ardalan Balali",
year = "2017",
month = "5",
day = "1",
language = "English",
volume = "25",
pages = "109--116",
journal = "Pertanika Journal of Science and Technology",
issn = "0128-7680",
publisher = "Universiti Putra Malaysia",
number = "S5",

}

TY - JOUR

T1 - Evaluating bus running time variability in high-frequency operation using automatic data collection systems

AU - Moosavi, Seyed Mohammad Hossein

AU - Ismail, Amiruddin

AU - Balali, Ardalan

PY - 2017/5/1

Y1 - 2017/5/1

N2 - Bus services usually tend to be irregular and their level of irregularity depends on various factors, such as crowding level, terminal departure behaviour, passengers’ behaviour, operator behaviour, traffic and weather condition and etc. High-frequency bus routes have shorter headways (usually headway less than 10 to 15 minutes) and higher passenger demand compared with normal routes. Therefore, level of irregularity can be even higher in bus service at high-frequency operation. Running time variability comes from both systematic changes in ridership and traffic levels at different times of the day, which can be accounted for in service planning, and the inherent stochasticity of homogeneous periods, which must be dealt with through real-time operations control. This study evaluated impact of ridership changes and traffic condition through time of the day on running time variability, using Automatic Vehicle Location system (AVL) and Automatic Fare Collection system (AFC). All data extracted and collected from RapidKL Company for route U32, which is a high-frequency route in downtown of Kuala Lumpur. Descriptive analysis on data showed a high variation in running times, especially in morning peak hours. A liner regression model also proved than crowding level (extracted from AFC data), number of stops and congestion zones have relatively high impact on running time variation.

AB - Bus services usually tend to be irregular and their level of irregularity depends on various factors, such as crowding level, terminal departure behaviour, passengers’ behaviour, operator behaviour, traffic and weather condition and etc. High-frequency bus routes have shorter headways (usually headway less than 10 to 15 minutes) and higher passenger demand compared with normal routes. Therefore, level of irregularity can be even higher in bus service at high-frequency operation. Running time variability comes from both systematic changes in ridership and traffic levels at different times of the day, which can be accounted for in service planning, and the inherent stochasticity of homogeneous periods, which must be dealt with through real-time operations control. This study evaluated impact of ridership changes and traffic condition through time of the day on running time variability, using Automatic Vehicle Location system (AVL) and Automatic Fare Collection system (AFC). All data extracted and collected from RapidKL Company for route U32, which is a high-frequency route in downtown of Kuala Lumpur. Descriptive analysis on data showed a high variation in running times, especially in morning peak hours. A liner regression model also proved than crowding level (extracted from AFC data), number of stops and congestion zones have relatively high impact on running time variation.

KW - AFC

KW - AVL

KW - Bus service

KW - High-frequency

KW - Running time

KW - Variability

UR - http://www.scopus.com/inward/record.url?scp=85049151072&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85049151072&partnerID=8YFLogxK

M3 - Article

VL - 25

SP - 109

EP - 116

JO - Pertanika Journal of Science and Technology

JF - Pertanika Journal of Science and Technology

SN - 0128-7680

IS - S5

ER -