trends in transport engineering and applications (vol1, issue2)
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STM JOURNALS
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Trends in Transport Engineering
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NIT Rourkela, Odisha, India.
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Engineering Bangladesh, BUET, Dhaka, Bangladesh.
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Bangladesh, BUET, Dhaka, Bangladesh.
Dr. Norhidayah Binti Abdul HassanFaculty of Civil Engineering and Construction Research Alliance, Universiti Teknologi Malaysia.
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India.
Editorial Board
Dr. Pradeep Kumar AgarwalProfessor, Department of Civil
Engineering, National Institute of Technology Bhopal, M.P, India.
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Engineering, Indian Institute of Technology Roorkee, Uttarakhand, India.
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Engineering National Institute of Technology Tiruchirappalli, India.
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Engineering, Tarbiat Modares University Tehran, Iran.
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of Civil Engineering, A.M.U., Aligarh, India.
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Engineering, Indian Institute of Technology, Kharagpur, W.B, India.
Dr. K. Ramachandra RaoAssociate Professor, Department of Civil
Engineering, IIT Delhi, Hauz Khas, New Delhi, India.
I take the privilege to present the print version for the Volume 1 Issue (2) of Trends in Transport
Engineering and Applications. The intension of TTEA is to create an atmosphere that stimulates
creativeness, research and growth in the area of Transport Engineering and Applications.
The development and growth of the mankind is the consequence of brilliant Research done by
eminent Scientists and Engineers in every field. TTEA provides an outlet for Research findings and
reviews in areas of Transport Engineering and Applications found to be relevant for National and
International recent developments & research initiative.
The aim and scope of the Journal is to provide an academic medium and an important reference for
the advancement and dissemination of Research results that support high level learning, teaching and
research in the domain of Transport Engineering and Applications.
Finally, and Authors for their continued support and invaluable contributions and suggestions in the
form of authoring I express my sincere gratitude and thanks to our Editorial/ Reviewer board write
ups/ reviewing and providing constructive comments for the advancement of the journals. With
regards to their due continuous support and co-operation, we have been able to publish quality
Research/Reviews findings for our customers base.
I hope you will enjoy reading this issue and we welcome your feedback on any aspect of the Journal..
Dr. Archana Mehrotra
Director
STM Journals
Director's Desk
STM JOURNALS
1. Development and Evaluation of Neural Network Model for Incident Detection on Urban Arterials using Simulated Database Tean C, Hossain M 1
2. Headway Compression during Queue Discharge at Signalized Intersections under Mixed Traffic Condition Partha Pratim Dey 15
3. Travel Demand Management for Sustainable Urban Transport in Kuala Lumpur: Operation and Energy Consumption IssuesS. Kennedy, M. Hossain 23
4. Micro-Simulation Modelling of Vehicular Emission from Road Traffic of Mixed Flow SituationM. Hossain 38
ContentsTrends in Transport Engineering and Applications
TTEA (2014)© STM Journals 2014. All Rights Reserved
Trends in Transport Engineering and Applications
Volume 1, Issue 2
www.stmjournals.com
Development and Evaluation of Neural Network Model
for Incident Detection on Urban Arterials using
Simulated Database
Tean C1, Hossain M
2* 1Intel Malaysia Inc., Palau Penang, Malaysia University of Science and Technology, Malaysia
2Department of Civil Engineering, Bangladesh University of Engineering and Technology (BUET),
Dhaka, Bangladesh
Abstract Incident detection in urban arterial situation is more difficult than the similar job in freeway situation because of the presence of traffic signals and other intersections with
associated recurrent queue. Most of the earlier automatic incident detection algorithms
address mainly freeway situation. This study aims at development, calibration, validation and testing of an ANN model for incident detection in Kuala Lumpur (KL) arterials using
simulated incident database. Database for the study is generated under incident and no-incident condition by simulating the traffic flow through the arterial network of Golden
Triangle area of KL. Calibration efforts are divided into different tasks such as the time
interval for input neuron, recalculation interval, location of the detector and the threshold values for the model. The calibrated model for optimum location of detector
yields 98.5% of detection rate and 2.9% of false alarm rate for normal traffic demand
situation. It is found that in case of link longer than 350 m data from two detectors are required for better performance of the ANN model but a single detector data is good
enough for link length of around 220 m or less. Testing of the model on other link sites also yields similar results with more accurate detection in case of shorter links. While one
cycle time was found to be long enough as a recalculation interval, further sensitivity
analysis on this revealed that lower cycle time of around 60 s degrades the performance of the model in terms of false alarm rate. The results from this study provide useful
insights for the design of AID system in urban arterials.
Keywords: Incident detection, neural network, urban arterial, micro-simulation
TTEA (2014) © STM Journals 2014. All Rights Reserved
Trends in Transport Engineering and Applications
Volume 1, Issue 2
www.stmjournals.com
Headway Compression during Queue Discharge at
Signalized Intersections under Mixed Traffic Condition
Partha Pratim Dey* School of Infrastructure, Indian Institute of Technology Bhubaneswar, Odisha-751013, India
Abstract The evaluation of capacity at signalized intersection is an important component in the
planning, design, operation and management of transportation system. Presently, the
methodologies available for the estimation of capacity of signalized intersections are based on the concept of saturation flow(s). Saturation flow is the steady maximum queue
discharge rate after the green onset. According to the U.S. Highway Capacity Manual,
this steady maximum rate is generally achieved after the fourth queuing vehicle enters the intersection. For the present work, data were collected at different signalized
intersections of NH-2 and NH-5 under mixed traffic conditions. It has been found in the present study that the queue discharge headways show an unmistakable pattern of
gradual compression as queuing vehicles are discharged in succession. Consequently, the
average discharge headways become stable from position ninth at NH-2 intersections and from position eighth at NH-5 intersections. Saturation headway (hs) was calculated by
averaging the headways of all the vehicles in the saturation flow region and it was 1.70 and 1.64 s for NH-2 and NH-5 respectively. The queue discharge characterizations of all
the intersections of NH-2 were found to be similar to those observed at intersection of
NH-5.
Keywords: Saturation flow, signalized intersection, saturation flow region, queue
discharge, saturation headway
.
TTEA (2014) © STM Journals 2014. All Rights Reserved
Trends in Transport Engineering and Applications
Volume 1, Issue 2
www.stmjournals.com
Travel Demand Management for Sustainable Urban
Transport in Kuala Lumpur: Operation and Energy
Consumption Issues
S. Kennedy, M. Hossain* Malaysia University of Science and Technology (MUST), Unit GL33 (Ground Floor), Block C,
Kelana Square, 17, Jalan SS7/26 47301 Petaling Jaya, Selangor D.E, Malaysia
Abstract A number of South-East Asian cities are experiencing rapid growth in car ownership and
overall transportation demand in the context of relatively low fuel and road tax along
with land use patterns that encourage private automobile trips. To address these challenges, sustainable transport initiatives, which often include travel demand
management (TDM), are increasingly being promoted at the city level. This paper examines the effectiveness of TDM on reducing road traffic congestion and energy
consumption in the city of Kuala Lumpur, Malaysia. In this and similar cities that
experience periods of severe traffic congestion, predicting the impacts of TDM can be complicated by the unstable nature of existing traffic flows. A new approach and tool are
presented here that enable planners and decision makers to analyze a single or
combinations of TDM options such as carpooling, bus/BRT lane, road pricing and increased transit ridership along a specific road corridor to arrive at a plan that satisfies
specified limits on congestion. The model can also estimate energy consumption under the planned scenario and thus helps to implement sustainable energy initiatives for the
transport sector. The paper will focus on the implications of TDM options for congestion
and energy consumption in Kuala Lumpur.
Keywords: Travel demand management; sustainable transport; energy consumption
and congestion
TTEA (2014) © STM Journals 2014. All Rights Reserved
Trends in Transport Engineering and Applications
Volume 1, Issue 2
www.stmjournals.com
Micro-Simulation Modelling of Vehicular Emission from
Road Traffic of Mixed Flow Situation
M. Hossain*
Department of Civil Engineering, Bangladesh University of Engineering and Technology
(BUET), Dhaka, Bangladesh
Abstract This paper describes a new approach to microscopic modelling of vehicular emission
from road traffic of mixed flow situation, where traffic stream comprises both motorised and non-motorised vehicles. The proposed model can represent detailed mixed traffic
situations, such as speed fluctuation of traffic flow, lack of lane discipline and different
vehicle categories. The model library is also facilitated with purposely developed vehicular emission model in order to be able to predict pollution load from road traffic of
heterogeneous characteristics. The developed model is applied to experiment the impact of three traffic scenarios in a generalized traffic signal of Dhaka city situation. The
emission contributions from different vehicle categories are taken as output from the
simulation run and based on these results couple of possible improvement options are worked out. Simulation results for those options show that significant reduction in total
emission load of CO and HC can be achieved through adoption of such option. This better understanding and estimation of classified emission contribution would help the
transport planners and policy makers in achieving an environmentally sustainable
transport system for the rapidly growing developing metropolis like Dhaka.
Keywords: Vehicular emission, emission modeling, mixed traffic,
microscopic simulation