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Recently Published
Optimal distance-and time-dependent area-based pricing with the Network Fundamental DiagramTransportation Research Part C: Emerging Technologies 95
https://www.sciencedirect.com/science/article/pii/S0968090X18300573 Abstract. Given the efficiency and equity concerns of a cordon toll, this paper proposes a few alternative distance-dependent area-based pricing models for a large-scale dynamic traffic network. We use the Network Fundamental Diagram (NFD) to monitor the network traffic state over time and consider different trip lengths in the toll calculation. The first model is a distance toll that is linearly related to the distance traveled within the cordon. The second model is an improved joint distance and time toll (JDTT) whereby users are charged jointly in proportion to the distance traveled and time spent within the cordon. The third model is a further improved joint distance and delay toll (JDDT) which replaces the time toll in the JDTT with a delay toll component. To solve the optimal toll level problem, we develop a simulation-based optimization (SBO) framework. Specifically, we propose a simultaneous approach and a sequential approach, respectively, based on the proportional-integral (PI) feedback controller to iteratively adjust the JDTT and JDDT, and use a calibrated large-scale simulation-based dynamic traffic assignment (DTA) model of Melbourne, Australia to evaluate the network performance under different pricing scenarios. While the framework is developed for static pricing, we show that it can be easily extended to solve time-dependent pricing by using multiple PI controllers. Results show that although the distance toll keeps the network from entering the congested regime of the NFD, it naturally drives users into the shortest paths within the cordon resulting in an uneven distribution of congestion. This is reflected by a large clockwise hysteresis loop in the NFD. In contrast, both the JDTT and JDDT reduce the size of the hysteresis loop while achieving the same control objective. We further conduct multiple simulation runs with different random seed numbers to demonstrate the effectiveness of different pricing models against simulation stochasticity. However, we postulate that the feedback control is not applicable with guaranteed convergence if the periphery of the cordon area becomes highly congested or gridlocked. |
We develop advanced dynamic models of large-scale networks, specifically simulation-based dynamic traffic assignment with advanced features such as road pricing and perimeter control.
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Changing Melbourne 2.0 uses visual analytics to demonstrate how socio-demographic characteristics of Melbourne are changing over time using data from ABS Census 2006 and 2011.
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800,000 people moving around Melbourne everyday. This project provides insights into the spatial-temporal distribution of pedestrian activities and crashes in Melbourne.
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This project builds modeling tools to evaluate the impact of different congestion pricing schemes on Melbourne network traffic to inform transport pricing policies.
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This project aims to develop a new model to measure housing and transport affordability in Australia, with greater Melbourne selected as the pilot study area.
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Large scale demand for travel between origins and destinations in a city can be visualized and analyzed as a complex network.
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The map visualizes the spatial distribution of Average Daily Truck Traffic (ADTT) in Melbourne in 2012.
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