There have been a big shift in transport planning and management recently in which transport planning is no longer focused on constructing transport infrastructures instead focused more on providing reliable transport services and improving accessibility. An integrated, well-coordinated and reliable traffic systems is needed. Dynamic traffic modelling which incorporate time dependent traffic demand and supply generated from readily available big data enable to better manage urban transportation. To tackle the challenges, a multidisciplinary intelligent and smart transportation ecosystem project is currently undergoing which aims to smoothen traffic flow in by reducing commuter heavily reliance on road traffic through voluntary travel demand management.
Our research also focus transport network vulnerability to mitigate negative impact of road disruptions. Various effects of road disruptions scenarios have been investigated and a dynamic traffic model which incorporate traveler behavior during disruption is developed. We are currently working on dynamic road vulnerability modelling funded by FRGS MOHE.
At the lower level of traffic planning, we are also developing mesoscopic traffic modelling based a cell transmission model (CTM) is also introduced. This model has been extended to model lane changing in coordinated setting of urban arterial and assess the effect of occurrence of lane changing to overall transport network performances.
- Doctor of Philosophy in Transportation Systems Engineering, University of South Australia, 2012
- Master in Transportation Systems Engineering, University of South Australia, 2007
- Degree in Geodetic Engineering (Hons), Gadjah Mada University, 2001
Reliability, vulnerability, traffic, transport planning, active demand, GIS.
Title: Dynamic User Equilibrium with Macroscopic Fundamental Diagram for Disaster management and emergency evacuation
This project aims to develop Dynamic User Equilibrium (DUE) model with Macroscopic Fundamental Diagram for large scale disaster evacuation planning using Malaysian context, 2; To develop DUE large scale emergency evacuation planning involving evacuees's behaviour response and route choice, 3; To propose conceptual model of responsive disaster management tool for evacuation process. The large scale Kuala Lumpur traffic model was developed and several evacuation scenario with evacuee route choice modelling were tested.
Title: CTM based lane change model – freeway and urban arterial
This project developed a refined CTM-Based lane change model by deploying lane change logistic regression model and introducing stochastic CTM with lane change to accommodate randomness in traffic demand. The proposed model has been tested using US Freeway data and Bandar Sunway arterial roads.
Title: Sustainable Intelligent Transport Ecosystem
This project aims to develop an incentive based active travel demand management to reduce car use and promote active transport in order to reduce GHG emission and promote sustainability. The project will mainly looks into several scenarios to reduce car use and promote active transport in Bandar Sunway where Monash University Malaysia campus is situated. Meso-scopic traffic modelling was developed to assess benefits of introducing financial incentives relating to mode choices and route choices. To reduce carbon emission due to stop & go and standstill traffic at selected junctions, camera-based coordinated and adaptive traffic signal was also develop. The team has also investigated the potential of autonomous and shared autonomous vehicle to reduce number of cars in Bandar Sunway. To promote active transport in Bandar Sunway, a rigorous public transport accessibility and walkability assessment through pedestrian walkway audit and scoring have been conducted.
Title: Aging and Urban Mobility in Bandar Sunway
This project aims to facilitate aging community in Bandar Sunway in relation to adopt sustainable transport systems. The public transport accessibility and walkability assessment for aging population will be conducted. The relationship between active transport and health will be further explored by a project team from School of Medicine. The team has extensively used Bayesian network for several application including travel time prediction using expert knowledge continuous Bayesian model by utilizing traffic data generated from SCATS. An accident prediction using Multilevel Hierarchical Bayesian was also developed. The future application of Bayesian for pedestrian modelling and crowd management have been explored as well.
CIV2282 - Transport and Traffic Engineering
CIV4284 - Transport Systems
Susilawati, Susilawati; Wijayanto, Wijayanto; Khoiri, Nur; Masturi, Masturi; Xaphakdy, S. (2018) Learning experience of pre-service physics teachers in developing simple project loaded by life skills, Jurnal Pendidikan IPA Indonesia, (122-129), Volume: 7, Issue Number: 23391286, 10.15294/jpii.v7i1.10889
Destiani, Dika P.; Milanda, Tiana; Susilawati, Susilawati; Suwantika, Auliya A.; Pradipta, Ivan S.; Halimah, Eli; Diantini, Ajeng; Sumiwi, Sri A.; Muhtadi, Ahmad; Subarnas, Anas; Lestari, Keri; Abdulah, Rizky (2017) Cost-effectiveness analysis of ceftazidime-levofloxacin and cefotaxime-erythromycin as empirical antibiotic combinations in respiratory infection-induced sepsis, Asian Journal of Pharmaceutical and Clinical Research, (119-121), Volume: 10, Issue Number: 09742441, 10.22159/ajpcr.2017.v10s2.19515
Susilawati, Susilawati; Taylor, Michael A.P.; Somenahalli, Sekhar V.C. (2013) Distributions of travel time variability on urban roads, Journal of Advanced Transportation, (720-736), Volume: 47, Issue Number: 01976729, 10.1002/atr.192
Supriadi, S.; Susilawati, S.; Tristyanto, B. (2019) Ethnomathematics in mathematics, social and physical education, Journal of Physics: Conference Series, Volume: 1318, Issue Number: 17426588, 10.1088/1742-6596/1318/1/012126
Susilawati, S.; Rusdiana, D. (2019) Students concept mastering analysis on astronomy: Case study in physics education department Universitas PGRI Semarang, Journal of Physics: Conference Series, Volume: 1157, Issue Number: 17426588, 10.1088/1742-6596/1157/3/032070
Hermansyah, ; Susilawati, S.; Subositi, Dyah (2018) Growth Retardation of Saccharomyces cerevisiae by Noni Fruit (Morinda citrifolia) Extract Occurred in G1 to S Transition of the Cell Cycle, Journal of Physics: Conference Series, Volume: 1095, Issue Number: 17426588, 10.1088/1742-6596/1095/1/012019
Susilawati, Susilawati; Tan, Kar Yow; Samad, Kamal Md Abdus; Ng, Christina (2018) The Study of Location Specific Lane Change Impacts on Traffic Delay using Extended Cell Transmission Model, MATEC Web of Conferences, Volume: 203, 10.1051/matecconf/201820305008
Junid, Adam; Zaki, S. A.; Susilawati, Susilawati; Abakr, Yousif Abdalla (2018) Efficiency of brushed and brushless electronic speed control systems and Lithium batteries, IEEE Student Conference on Research and Development: Inspiring Technology for Humanity, SCOReD 2017 - Proceedings, (332-337), Volume: 2018-January, 10.1109/SCORED.2017.8305369
Ng, Christina; Susilawati, Susilawati; Leng, Irene Chew Mei (2016) Piecewise linear regression: A statistical method for the analysis of the relationship between traffic signal parameters and air pollutant emissions, ATRF 2016 - Australasian Transport Research Forum 2016, Proceedings, https://www.scopus.com/record/display.uri?eid=2-s2.0-85046037587&origin=resultslist
- Aging and Urban Mobility in Bandar Sunway: A holistic approach, Dr Susilawati, 2018-2020, Monash University Malaysia, RM250,000
- Sustainable Intelligent Transport Ecosystems, Dr Susilawati, 2017-2019, Monash University Malaysia, RM250,000
- Australia Malaysia Travel Grant, Dr Susilawati, 2017, Monash University Malaysia, RM16, 500
- Cooperative vehicle and traffic control systems for smart city transportation network - Proof of Concept and Lab Scale Prototyping, Dr Susilawati, 2017-2020, Advanced Engineering Platform, RM30, 000
- Dynamic User Equilibrium with Macroscopic Fundamental Diagram for Disaster management and emergency evacuation, Dr Susilawati, 2015-2019, Ministry of Higher Education Malaysia, MOHE, RM141, 900
- Dynamic and responsive road network vulnerability assessment at wide-area degradation, Dr Susilawati, 2015, Monash University Malaysia, RM25, 000
- Non-stationary statistical traffic modelling and prediction – Synthesis of map matching with Big Data methodology, Dr Susilawati, 2015, Monash University Malaysia, RM15, 000
An Integrated Modelling Approach to study the effect of Driving Behaviour on Traffic Emissions at Signalised Intersections
2016 - Present
Monash University Malaysia
Loi Shi Jun
Suitability Of Oil Palm Shell Composites For Vibration Isolation In Soil Subgrades
2017 - Present
Monash University Malaysia
Chun Chin On
Thermal & Mechanical Properties of Concrete Incorporated with Paraffin-Oil Palm Kernel Shell Composite
2017 - Present
Monash University Malaysia
- Australian Road Research Board Young Researcher, Australian Road Research Board, 2010