ORCID Profile
0000-0002-3403-6939
Current Organisation
University of Melbourne
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In Research Link Australia (RLA), "Research Topics" refer to ANZSRC FOR and SEO codes. These topics are either sourced from ANZSRC FOR and SEO codes listed in researchers' related grants or generated by a large language model (LLM) based on their publications.
Geomatic Engineering | Geospatial Information Systems | Spatial Information Systems | Natural Language Processing | Decision Support And Group Support Systems | Computational Linguistics | Transport Planning | Simulation And Modelling | Linguistic Structures (incl. Grammar, Phonology, Lexicon, Semantics) | Other Studies in Human Society | Control Systems, Robotics and Automation | Navigation And Position Fixing | Electrical and Electronic Engineering | Information Retrieval and Web Search | Knowledge Representation and Machine Learning | Dynamical Systems in Applications | Operations Research | Simulation and Modelling | Automation and Control Engineering | Environmental Monitoring | Studies In Human Society Not Elsewhere Classified
Electronic Information Storage and Retrieval Services | Information processing services | Multimodal transport | Expanding Knowledge in the Information and Computing Sciences | Road Passenger Movements (excl. Public Transport) | Environmental Management Systems | Industry Costs and Structure | Economic Incentives for Environmental Protection | Studies in human society | Integrated systems | Ground transport | Flora, Fauna and Biodiversity of environments not elsewhere classified | Rehabilitation of Degraded Fresh, Ground and Surface Water Environments | Computer software and services not elsewhere classified | Information Processing Services (incl. Data Entry and Capture) | Application Tools and System Utilities | Industrial Machinery and Equipment | Tourism infrastructure development |
Publisher: Informa UK Limited
Date: 12-01-2022
Publisher: IEEE
Date: 2006
DOI: 10.1109/MDM.2006.150
Publisher: Informa UK Limited
Date: 24-02-2009
Publisher: Informa UK Limited
Date: 02-11-2021
Publisher: MDPI AG
Date: 27-10-2022
DOI: 10.3390/IJGI11110538
Abstract: Map-matching of trajectory data has widespread applications in vehicle tracking, traffic flow analysis, route planning, and intelligent transportation systems. Map-matching algorithms snap a set of trajectory points observed by a satellite navigation system to the most likely route segments of a map. However, due to the unavoidable errors in the recorded trajectory points and the incomplete map data, map-matching algorithms may match points to incorrect segments, leading to map-matching errors. Identification of these map-matching errors in the absence of ground truth can only be achieved by visual inspection and reasoning. Thus, the identification of map-matching errors without ground truth is a time-consuming and mundane task. Although research has focused on improving map-matching algorithms, to our knowledge no attempts have been made to automatically classify and identify the residual map-matching errors. In this work, we propose the first method to automatically identify map-matching errors in the absence of ground truth, i.e., only using the recorded trajectory points and the map-matched route. We have evaluated our method on a public dataset and observed an average accuracy of 91% in automatically identifying map-matching errors, thus helping analysts to significantly reduce manual effort for map-matching quality assurance.
Publisher: Informa UK Limited
Date: 06-03-2018
Publisher: IEEE
Date: 12-2012
Publisher: Journal of Spatial Information Science
Date: 19-12-2012
Publisher: Elsevier BV
Date: 03-2019
DOI: 10.1016/J.AAP.2019.01.003
Abstract: Negotiations among drivers and pedestrians are common on roads, but it is still challenging for a self-driving vehicle to negotiate for its right of way with other human road users, especially pedestrians. Currently, the self-driving vehicles are programmed for conservative behavior, yielding to approaching pedestrians. Consequently, the future urban traffic will slow down significantly. In this paper, a conceptual model of vehicle-pedestrian negotiation is proposed. This model allows in idual decision making of multiple vehicles and pedestrians, extending a prior negotiation model for a single vehicle and a single pedestrian. The possible negotiation opportunities for vehicles are modeled considering different risk-taking behaviors of pedestrians. Simulation results show an overall improvement in the waiting time of vehicles and thus in the intersection throughput, compared to conservative vehicle behavior. The simulation results show also that the benefit of reduced waiting times for vehicles comes at the cost of some waiting time for pedestrians. However, the observed pedestrian waiting times in this model are not more than the generally accepted waiting times reported in empirical studies.
Publisher: MDPI AG
Date: 18-04-2017
DOI: 10.3390/IJGI6040120
Publisher: SAGE Publications
Date: 2008
DOI: 10.1068/B33106
Abstract: We are interested in the generation of distinguishing place or route descriptions for urban environments. Such descriptions require a hierarchical model of the discourse, the elements of the city. We postulate that cognitive hierarchies, as used in human communication, can be sufficiently reflected in machine-generated hierarchies. In this paper we (a) propose a computational model for the generation of a hierarchy of one of these elements of the city—landmarks—and (b) demonstrate that a set of filter rules applied on this hierarchy derives distinguishing route descriptions from spatial context.
Publisher: Association for Computing Machinery (ACM)
Date: 18-06-2020
DOI: 10.1145/3321516
Abstract: In the absence of any global positioning infrastructure for indoor environments, research on supporting human indoor localization and navigation trails decades behind research on outdoor localization and navigation. The major barrier to broader progress has been the dependency of indoor positioning on environment-specific infrastructure and resulting tailored technical solutions. Combined with the fragmentation and compartmentalization of indoor environments, this poses significant challenges to widespread adoption of indoor location-based services. This article puts aside all approaches of infrastructure-based support for human indoor localization and navigation and instead reviews technical concepts that are independent of sensors embedded in the environment. The reviewed concepts rely on a mobile computing platform with sensing capability and a human interaction interface (“smartphone”). This platform may or may not carry a stored map of the environment, but does not require in situ internet access. In this regard, the presented approaches are more challenging than any localization and navigation solutions specific to a particular, infrastructure-equipped indoor space, since they are not adapted to local context, and they may lack some of the accuracy achievable with those tailored solutions. However, only these approaches have the potential to be universally applicable.
Publisher: Elsevier BV
Date: 09-2013
Publisher: Springer International Publishing
Date: 2013
Publisher: MDPI AG
Date: 15-06-2018
DOI: 10.3390/IJGI7060221
Publisher: ACM
Date: 07-09-2010
Publisher: Association for Computing Machinery (ACM)
Date: 08-02-2011
Abstract: This workshop report sets out to define Computational Transportation Science as the science behind intelligent transportation systems. In particular it develops a first research agenda for this science, illustrating its unique challenges and putting them to public debate.
Publisher: Informa UK Limited
Date: 02-01-2014
Publisher: SAGE Publications
Date: 12-2007
DOI: 10.1068/B32099
Abstract: People experience and memorize space primarily with the help of landmarks. These landmarks have structural salience, besides visual and semantic salience. When people move in urban space they perceive first the street network as structuring this space. Therefore, streets are a good candidate for investigating structural salience. This paper investigates different structural representations of the urban fabric, and measures to describe the structural salience especially of elements of the street network and dependent elements. The measures are taken from topology and network analysis. The goal is to identify a generic model of structural salience for urban elements that favors the automatic identification of references for route directions. The proposed model is illustrated by a case study applied to a small city in northern France.
Publisher: Elsevier BV
Date: 10-2007
Publisher: Informa UK Limited
Date: 26-05-2011
Publisher: MDPI AG
Date: 11-07-2017
DOI: 10.3390/IJGI6070213
Abstract: The lonelier evacuees find themselves, the riskier become their wayfinding decisions. This research supports single evacuees in a dynamically changing environment with risk-aware guidance. It deploys the concept of decentralized evacuation, where evacuees are guided by smartphones acquiring environmental knowledge and risk information via exploration and knowledge sharing by peer-to-peer communication. Peer-to-peer communication, however, relies on the chance that people come into communication range with each other. This chance can be low. To bridge between people being not at the same time at the same places, this paper suggests information depositories at strategic locations to improve information sharing. Information depositories collect the knowledge acquired by the smartphones of evacuees passing by, maintain this information, and convey it to other passing-by evacuees. Multi-agent simulation implementing these depositories in an indoor environment shows that integrating depositories improves evacuation performance: It enhances the risk awareness and consequently increases the chance that people survive and reduces their evacuation time. For evacuating dynamic events, deploying depositories at staircases has been shown more effective than deploying them in corridors.
Publisher: Springer Science and Business Media LLC
Date: 2000
Publisher: Wiley
Date: 21-08-2014
DOI: 10.1111/TGIS.12093
Publisher: Elsevier BV
Date: 12-2012
Publisher: IEEE
Date: 2009
DOI: 10.1109/MDM.2009.117
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2020
Publisher: Informa UK Limited
Date: 31-07-2018
Publisher: IGI Global
Date: 2006
DOI: 10.4018/978-1-59140-905-2.CH010
Abstract: This chapter presents a review of the ways of georeferencing in Web resources, as opposed to the georeferencing of other information communities, specifically in route directions for wayfinders. The different information needs of the two information communities, reflected by their different semantics of georeferences, are identified. In a case study, we investigate the possibilities of translating the semantics of georeferences in Web resources to landmarks in route directions. We show that interpreting georeferences in Web resources enhances the perceivable properties of described features. Finally, we identify open questions for future research.
Publisher: Informa UK Limited
Date: 27-08-2010
Publisher: Springer-Verlag
Date: 2005
Publisher: Elsevier BV
Date: 09-2013
Publisher: Elsevier BV
Date: 09-2000
Publisher: Informa UK Limited
Date: 12-2003
Publisher: MDPI AG
Date: 18-01-2016
DOI: 10.3390/S16010112
Publisher: ACM
Date: 05-11-2013
Publisher: Public Library of Science (PLoS)
Date: 21-05-2021
DOI: 10.1371/JOURNAL.PONE.0251964
Abstract: While tracking-data analytics can be a goldmine for institutions and companies, the inherent privacy concerns also form a legal, ethical and social minefield. We present a study that seeks to understand the extent and circumstances under which tracking-data analytics is undertaken with social licence—that is, with broad community acceptance beyond formal compliance with legal requirements. Taking a University c us environment as a case, we enquire about the social licence for Wi-Fi-based tracking-data analytics. Staff and student participants answered a questionnaire presenting hypothetical scenarios involving Wi-Fi tracking for university research and services. Our results present a Bayesian logistic mixed-effects regression of acceptability judgements as a function of participant ratings on 11 privacy dimensions. Results show widespread acceptance of tracking-data analytics on c us and suggest that trust, in idual benefit, data sensitivity, risk of harm and institutional respect for privacy are the most predictive factors determining this acceptance judgement.
Publisher: Elsevier BV
Date: 09-2016
Publisher: Informa UK Limited
Date: 08-08-2021
Publisher: Informa UK Limited
Date: 24-02-2009
Publisher: ACM
Date: 03-10-2013
Publisher: Springer Berlin Heidelberg
Date: 2006
Publisher: Journal of Spatial Information Science
Date: 21-12-2011
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2023
Publisher: Informa UK Limited
Date: 03-2010
Publisher: Informa UK Limited
Date: 17-11-2020
Publisher: Informa UK Limited
Date: 12-2013
Publisher: Informa UK Limited
Date: 12-2009
Publisher: Springer Science and Business Media LLC
Date: 27-04-2014
Publisher: Informa UK Limited
Date: 03-04-2015
Publisher: Informa UK Limited
Date: 20-05-2009
Publisher: Springer Berlin Heidelberg
Date: 2010
Publisher: Springer Science and Business Media LLC
Date: 15-02-2022
Publisher: Springer Berlin Heidelberg
Date: 2011
Publisher: Wiley
Date: 03-04-2014
DOI: 10.1111/AEN.12085
Publisher: Elsevier BV
Date: 04-2019
Publisher: Elsevier BV
Date: 07-2019
Publisher: ACM
Date: 11-2011
Publisher: Informa UK Limited
Date: 07-2000
Publisher: Springer Berlin Heidelberg
Date: 2005
DOI: 10.1007/11556114_22
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2009
Publisher: IGI Global
Date: 2012
DOI: 10.4018/IJ3DIM.2012010102
Abstract: Geographic Information Science focuses traditionally on spatial information of geographic scale and associates this per default with outdoor environments. Systems, databases and models are designed for this primary purpose. In this paper, the author discusses the geographic information requirements in indoor environments and, in particular, their differences to ‘outdoor’ geographic information. The main difference, as argued, is that the third dimension is an essential factor for indoor spatial information, while this is not necessarily so for outdoor information. As a consequence, information technology designed for outdoors is not necessarily fit to model, analyze or communicate about indoor space.
Publisher: Informa UK Limited
Date: 28-08-2009
Publisher: Elsevier BV
Date: 04-2019
Publisher: Wiley
Date: 02-12-2013
DOI: 10.1111/TGIS.12064
Publisher: Elsevier BV
Date: 2017
Publisher: Springer Science and Business Media LLC
Date: 31-05-2009
Publisher: Informa UK Limited
Date: 16-03-2015
Publisher: Informa UK Limited
Date: 07-07-2020
Publisher: MDPI AG
Date: 16-04-2018
DOI: 10.20944/PREPRINTS201804.0202.V1
Abstract: Everyday place descriptions provide a rich source of knowledge about places and their relative locations. This research proposes a place graph model for modeling this spatial, non-spatial, and contextual knowledge from place descriptions. The model extends a prior place graph, and overcomes a number of limitations. The model is implemented using the Neo4j graph database, and a management system has also been developed that allows operations including querying, mapping, and visualizing the stored knowledge in an extended place graph. Then three experimental tasks, namely georeferencing, reasoning, and querying, are selected to demonstrate the superiority of the extended model.
Publisher: Informa UK Limited
Date: 06-2004
Publisher: No publisher found
Date: 2022
Publisher: Elsevier BV
Date: 12-2023
Publisher: Informa UK Limited
Date: 22-03-2018
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2019
Publisher: ACM
Date: 04-11-2009
Publisher: Elsevier BV
Date: 09-2000
Publisher: Springer Berlin Heidelberg
Date: 2008
Publisher: SAGE Publications
Date: 2011
DOI: 10.1068/B37057
Abstract: Compared with typical outdoor spaces, indoor spaces are clustered and have a fragmented social structure and erse groups use the space in different ways, which results in different conceptualizations. Accordingly, these spaces pose many challenges for spatial information systems, amongst them appropriate spatial communication with users as different conceptualizations result in different communication needs. The conceptualizations are hierarchical in nature and, thus, information systems also require hierarchical representations of indoor spaces. In this paper we present a hierarchization process that acounts for different use roles. The hierarchization exploits structural, functional, and organizational dimensions and allows for communicating different aspects of the space in a way tailored to the specific user groups.
Publisher: Journal of Spatial Information Science
Date: 25-05-2011
Publisher: Elsevier BV
Date: 09-2016
Publisher: Informa UK Limited
Date: 09-2008
Publisher: Elsevier BV
Date: 03-2012
Publisher: Journal of Spatial Information Science
Date: 27-07-2010
Publisher: Informa UK Limited
Date: 09-2006
Publisher: Springer Science and Business Media LLC
Date: 2002
Publisher: ACM
Date: 06-11-2012
Publisher: Springer Berlin Heidelberg
Date: 2009
Publisher: MDPI AG
Date: 13-09-2020
DOI: 10.3390/S20185226
Abstract: All established models in transportation engineering that estimate the numbers of trips between origins and destinations from vehicle counts use some form of a priori knowledge of the traffic. This paper, in contrast, presents a new origin–destination flow estimation model that uses only vehicle counts observed by traffic count sensors it requires neither historical origin–destination trip data for the estimation nor any assumed distribution of flow. This approach utilises a method of statistical origin–destination flow estimation in computer networks, and transfers the principles to the domain of road traffic by applying transport-geographic constraints in order to keep traffic embedded in physical space. Being purely stochastic, our model overcomes the conceptual weaknesses of the existing models, and additionally estimates travel times of in idual vehicles. The model has been implemented in a real-world road network in the city of Melbourne, Australia. The model was validated with simulated data and real-world observations from two different data sources. The validation results show that all the origin–destination flows were estimated with a good accuracy score using link count data only. Additionally, the estimated travel times by the model were close approximations to the observed travel times in the real world.
Publisher: Springer International Publishing
Date: 2013
Publisher: ACM
Date: 06-11-2012
Publisher: Springer Berlin Heidelberg
Date: 2008
Publisher: Elsevier BV
Date: 05-2008
Publisher: Informa UK Limited
Date: 12-2007
Publisher: MDPI AG
Date: 25-09-2020
DOI: 10.3390/S20195492
Abstract: Recently, deep convolutional neural networks (CNN) have become popular for indoor visual localisation, where the networks learn to regress the camera pose from images directly. However, these approaches perform a 3D image-based reconstruction of the indoor spaces beforehand to determine camera poses, which is a challenge for large indoor spaces. Synthetic images derived from 3D indoor models have been used to eliminate the requirement of 3D reconstruction. A limitation of the approach is the low accuracy that occurs as a result of estimating the pose of each image frame independently. In this article, a visual localisation approach is proposed that exploits the spatio-temporal information from synthetic image sequences to improve localisation accuracy. A deep Bayesian recurrent CNN is fine-tuned using synthetic image sequences obtained from a building information model (BIM) to regress the pose of real image sequences. The results of the experiments indicate that the proposed approach estimates a smoother trajectory with smaller inter-frame error as compared to existing methods. The achievable accuracy with the proposed approach is 1.6 m, which is an improvement of approximately thirty per cent compared to the existing approaches. A Keras implementation can be found in our Github repository.
Publisher: Elsevier BV
Date: 10-2018
Publisher: ACM
Date: 05-11-2013
Publisher: Elsevier BV
Date: 2008
Publisher: Springer Science and Business Media LLC
Date: 2001
Publisher: Elsevier BV
Date: 10-2013
Publisher: Springer Science and Business Media LLC
Date: 25-02-2011
Publisher: Elsevier BV
Date: 06-2013
Publisher: Springer Science and Business Media LLC
Date: 13-04-2011
Publisher: Springer Berlin Heidelberg
Date: 2010
Start Date: 2017
End Date: 06-2020
Amount: $410,500.00
Funder: Australian Research Council
View Funded ActivityStart Date: 2017
End Date: 12-2019
Amount: $399,500.00
Funder: Australian Research Council
View Funded ActivityStart Date: 2008
End Date: 12-2012
Amount: $71,600.00
Funder: Australian Research Council
View Funded ActivityStart Date: 03-2021
End Date: 03-2024
Amount: $347,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 04-2012
End Date: 12-2015
Amount: $360,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 05-2011
End Date: 09-2015
Amount: $300,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 2008
End Date: 12-2011
Amount: $165,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 07-2005
End Date: 12-2010
Amount: $205,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 01-2014
End Date: 12-2017
Amount: $195,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 11-2012
End Date: 12-2016
Amount: $330,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 2005
End Date: 12-2010
Amount: $1,500,000.00
Funder: Australian Research Council
View Funded Activity