Postgraduate Award

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SIDRA SOLUTIONS Postgraduate Award 2017 - Winner

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Long Truong from Monash University has won the 2017 SIDRA SOLUTIONS Postgraduate Award for his PhD thesis titled 'Combination Effects of Public Transport Priority Measures'.

In his thesis, Long has explored the combination effects of providing single or groups of public transport priority initiatives, including bus lanes, queue jump lanes, and transit signal priority. Using traffic microsimulation and kinematic wave theory, he discovered that combining transit signal priority with bus lanes or queue jump lanes can create synergy effects while providing priority at multiple locations, i.e. road sections and intersections, can create multiplier effects. These intriguing findings suggest considerable benefits from providing priority initiatives in combination. Long also developed several new methodologies in the field of traffic engineering, such as new offset optimisation models, functions for estimating bus delay reduction associated with priority initiatives, and a coordinated transit signal priority control model. Particularly, he proposed new methods to compute the minimum number of runs required to achieve reliable multivariate performance estimates of a simulated traffic network.

Here are two papers based on this research:

'Analytical and simulation approaches to understand combined effects of transit signal priority and road-space priority measures' 

'Does Combining Transit Signal Priority with Dedicated Bus Lanes or Queue Jump Lanes at Multiple Intersections Create Multiplier Effects?' 


Long Truong and Dr Rahmi Akçelik
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Past Winners

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Past winners of the SIDRA SOLUTIONS Postgraduate Award are listed below:

2016: Kasun Wijayaratna

Kasun Wijayaratna from the University of New South Wales has won the 2016 SIDRA SOLUTIONS Postgraduate Award for his PhD thesis titled 'Modelling Disrupted Transport Network Behaviour'. 

Disruptions on a road network, such as traffic incidents and inclement weather, transform the behaviour and decision making of road users. This research study investigated driving behaviour under disrupted conditions which was used to develop traffic assignment models that accounted for disrupted conditions. The thesis postulated and empirically presented that disruptions lead to a release of information which results in adaptive behaviour. This form of information can be gained through visual cues of the disruption itself, via navigation technology and also through Advanced Traveller Information Systems (ATIS). Thus, the two major contributions presented in the research were; the understanding of the impacts of information on driving behaviour and the incorporation of information dissemination as well as information acquisition into current network modelling methodologies.

Here is a paper based on this research: 'Impact of information on risk attitudes: Implications on valuation of reliability and information'

2015: Melissa Duell

Melissa Duell of School of Civil and Environmental Engineering, University of New South Wales won the 2015 SIDRA SOLUTIONS Postgraduate Award for her PhD thesis titled 'Strategic Traffic Assignment: Models and Applications to Capture Day-to-Day Flow Volatility'

This research examined the strategic traffic assignment approach, which accounts for day-to-day demand uncertainty, in the context of the network design problem. Uncertainty in transport network modelling was explored, focusing on the inclusion of a fundamental behavioral assumption where individuals form strategic choices in day-to-day travel based on past experience. The key innovation of the research was incorporating traffic volatility while retaining the tractable and scalable properties of traditional deterministic models. The research explored variations of both static and dynamic models, as well as applications such as pricing and the network design problem.

Here is a paper based on her research titled 'The Implications Of Volatility In Day-to-day Travel Flow And Road Capacity On Traffic Network Design Projects'.

2014: Rui Jiang

Rui Jiang of Queensland University of Technology won the 2014 SIDRA SOLUTIONS Postgraduate Award for his research titled 'Strategies for Rapid Congestion Recovery using Ramp Metering'.

Ramp Metering is the most effective motorway control for significant reductions in motorway congestion. However, given field constraints, Ramp Metering for motorway control cannot eliminate recurrent congestion during the increased long peak hours. This paper focuses on rapid congestion recovery to improve Ramp Metering systems. The feasibility of using Ramp Metering for recovery is analyzed, and a zone recovery strategy is proposed.


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