On Discovering Road Traffic Information Using Virtual Reality Simulations

Ayres, Gareth; Mehmood, Rashid

doi:10.1109/uksim.2009.14

Cited by 18 publications

(4 citation statements)

References 14 publications

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“…A number of our earlier works have considered both macro-level and micro-level modelling and simulation of road traffic and transportation (see e.g. Alazawi et al , 2011,2012, 2014a; Ayres and Mehmood, 2009; Elmirghani et al , 2006; Mehmood, 2007; Mehmood and Nekovee, 2007).…”

Section: Data and The Capacity Measure Used In The Markov Modelmentioning

confidence: 99%

Exploring the influence of big data on city transport operations: a Markovian approach

Mehmood

Meriton

Graham

et al. 2017

IJOPM

Self Cite

136

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Purpose The purpose of this paper is to advance knowledge of the transformative potential of big data on city-based transport models. The central question guiding this paper is: how could big data transform smart city transport operations? In answering this question the authors present initial results from a Markov study. However the authors also suggest caution in the transformation potential of big data and highlight the risks of city and organizational adoption. A theoretical framework is presented together with an associated scenario which guides the development of a Markov model. Design/methodology/approach A model with several scenarios is developed to explore a theoretical framework focussed on matching the transport demands (of people and freight mobility) with city transport service provision using big data. This model was designed to illustrate how sharing transport load (and capacity) in a smart city can improve efficiencies in meeting demand for city services. Findings This modelling study is an initial preliminary stage of the investigation in how big data could be used to redefine and enable new operational models. The study provides new understanding about load sharing and optimization in a smart city context. Basically the authors demonstrate how big data could be used to improve transport efficiency and lower externalities in a smart city. Further how improvement could take place by having a car free city environment, autonomous vehicles and shared resource capacity among providers. Research limitations/implications The research relied on a Markov model and the numerical solution of its steady state probabilities vector to illustrate the transformation of transport operations management (OM) in the future city context. More in depth analysis and more discrete modelling are clearly needed to assist in the implementation of big data initiatives and facilitate new innovations in OM. The work complements and extends that of Setia and Patel (2013), who theoretically link together information system design to operation absorptive capacity capabilities. Practical implications The study implies that transport operations would actually need to be re-organized so as to deal with lowering CO2 footprint. The logistic aspects could be seen as a move from individual firms optimizing their own transportation supply to a shared collaborative load and resourced system. Such ideas are radical changes driven by, or leading to more decentralized rather than having centralized transport solutions (Caplice, 2013). Social implications The growth of cities and urban areas in the twenty-first century has put more pressure on resources and conditions of urban life. This paper is an initial first step in building theory, knowledge and critical understanding of the social implications being posed by the growth in cities and the role that big data and smart cities could play in developing a resilient and sustainable transport city system. Originality/value Despite the importance of OM to big data implementation, for both practitioners and researchers, we have yet to see a systematic analysis of its implementation and its absorptive capacity contribution to building capabilities, at either city system or organizational levels. As such the Markov model makes a preliminary contribution to the literature integrating big data capabilities with OM capabilities and the resulting improvements in system absorptive capacity.

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Section: Data and The Capacity Measure Used In The Markov Modelmentioning

confidence: 99%

Exploring the influence of big data on city transport operations: a Markovian approach

Mehmood

Meriton

Graham

et al. 2017

IJOPM

Self Cite

136

View full text Add to dashboard Cite

show abstract

“…We omitted an overview table, since only two of these papers included user study findings. Ayres and Mehmood (2009) developed an opensource traffic simulator capable of generating many permutations and adjustments of parameters to simulate real life highway situations. The advantages of using VR are 1) to visualize the virtual road traffic environment in real time in an immersive manner from different perspectives, and 2) displaying the data generated from the virtual sensors and creating graphical renderings, such as graphs and charts.…”

Section: Traffic Simulationmentioning

confidence: 99%

A Systematic Review of Virtual Reality Applications for Automated Driving: 2009–2020

2021

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While virtual reality (VR) interfaces have been researched extensively over the last decades, studies on their application in vehicles have only recently advanced. In this paper, we systematically review 12 years of VR research in the context of automated driving (AD), from 2009 to 2020. Due to the multitude of possibilities for studies with regard to VR technology, at present, the pool of findings is heterogeneous and non-transparent. We investigated N = 176 scientific papers of relevant journals and conferences with the goal to analyze the status quo of existing VR studies in AD, and to classify the related literature into application areas. We provide insights into the utilization of VR technology which is applicable at specific level of vehicle automation and for different users (drivers, passengers, pedestrians) and tasks. Results show that most studies focused on designing automotive experiences in VR, safety aspects, and vulnerable road users. Trust, simulator and motion sickness, and external human-machine interfaces (eHMIs) also marked a significant portion of the published papers, however a wide range of different parameters was investigated by researchers. Finally, we discuss a set of open challenges, and give recommendation for future research in automated driving at the VR side of the reality-virtuality continuum.

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“…Transportation Engineers have used VR to simulate spatial and temporal scenarios such as traffic flow patterns, speed, occupancy and to predict future traffic (Ayres & Mehmood, 2009) among other applications. Project managers and contractors use VR for site planning (Comunale, 2017), site design, (Harrison et al, 2015) and site management (Sampaio et al, 2010) .…”

Section: Virtual Reality -Tool For Visualisationmentioning

confidence: 99%

Inspection of Concrete Bridge Structures: Case Study Comparing Conventional Techniques with a Virtual Reality Approach

2021

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Recent high profile collapses coupled with an aging bridge stock, increased loading and the pressures of climate change have led to a greater focus on bridge management by policy makers. To prevent any negative socio-economic impacts, timely inspection of bridges becomes of prime importance. Visual inspection is standard practice around the world but is subjective in nature and is influenced by many factors that can affect the accuracy of results and future decisions. The research presented here critically compares the conventional Visual Inspection approach with a Virtual Reality (VR) Inspection technique that combines Lidar and VR, applied for the first time to bridges made of reinforced concrete. Inspection of the Mancunian Way, an elevated motorway in Manchester, UK, is performed by the conventional visual approach and the VR approach. Digital virtual twins of the bridge are developed. Lidar is used to capture a 3D image of the geometric surface of the bridge incorporating all its defects. The image is post-processed and a virtual reality application is created using Unity, a software development kit, for inspection of bridges in an immersive 3D virtual environment. The resulting VR app is evaluated subjectively by conducting a critical comparison between both methods. The results demonstrate promising improvements over the conventional inspection technique. It is intended that this research will benefit civil engineers in inspecting bridges as well as policy makers who may revise bridge inspection codes and procedures.

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On Discovering Road Traffic Information Using Virtual Reality Simulations

Cited by 18 publications

References 14 publications

Exploring the influence of big data on city transport operations: a Markovian approach

Exploring the influence of big data on city transport operations: a Markovian approach

A Systematic Review of Virtual Reality Applications for Automated Driving: 2009–2020

Inspection of Concrete Bridge Structures: Case Study Comparing Conventional Techniques with a Virtual Reality Approach

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