Transport Data Modelling, Simulation and Big Data
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Transport Data Modelling, Simulation and Big Data

Transport Data Modelling, Simulation and Big Data

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Sir Alwyn Williams Building

Level 5

Glasgow, United Kingdom

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Description

The Urban Big Data Centre in conjunction with SASNet invite you to a free seminar on Transport Data Modelling, Simulation and advancements in Big Data.

This half day seminar will consist of two 1-hour sessions presented by Devrim Kara, Director, PTV Group UK, covering the use of ‘Big Data’ for improving transport networks and research into the implications of autonomous vehicles in cities and the value of transport simulations. Dr Wei Liu, Lecturer in Transportation Engineering at the University of Glasgow will then present two scenarios using a parking simulator to demonstrate possible improvements in efficiency and pricing strategy for city centre parking.

There are no specific pre-requisites for joining the presentations and they are likely to be of most interest to transport professionals from the academic, consultancy and public sectors.

***Please note: Registration is required for catering purposes. Refreshments and lunch will be provided at the end of the workshop over networking.

If you have any questions about the workshop, please contact: Keith.Maynard@glasgow.ac.uk


Programme

(specific session timings subject to change)

9:30am - 9:55am   Coffee/tea and pastries provided

9:55am - 10:00am   Introduction by Dr Konstantinos Ampountolas, Lecturer of Transportation Engineering in the School of Engineering at the University of Glasgow

10:00am - 11:00am   Devrim Kara - Transport Models and "Big Data"

The presentation will demonstrate how sources of “big data” can be used for building transport models, visualising historical and real-time data and developing decision making solutions. Big data in the form of maps, road and public transport networks, smartcard and other data can be used to build transport models faster. The import and visualisation of historical and real-time big data can be used to gain useful insights into the operation, safety and performance of transport networks. Transport models combined with historical and real-time big data can be used to develop real-time decision making solutions that can be used by control centres for a more proactive management of the transport network.

11:00am - 12:00pm   Devrim Kara - Shared Autonomous Cars will Transform City Transport and Traffic Operations:

Presentation of potential urban futures with various typologies of shared autonomous vehicles and the positive and negative implications they will have on cities. The presentation will include the outcomes of a research project and discuss the role and relevance of transport simulation tools and address thought provoking issues such as: what will be the impact on transport network, vehicle fleets, ownership models, land use patters, mode share, freight and passenger transport.

12:00pm - 12:15pm   Comfort break

12:15pm – 1:15pm   Dr Wei Liu - Evaluating Parking Information Provision and Optimizing Parking Pricing in a Sensor-enabled Downtown:

This presentation will describe a parking simulator for the parking network in the city center, which is used to examine cruising for curbside parking of travelers in the downtown network. Particularly, we simulate two situations with different levels of information provision. Firstly, we consider that drivers have some prior knowledge/belief about the zonal parking availability over the network, and update their knowledge/belief over time and space based on their observations (“belief-updating” scenario). Secondly, we simulate the case where real-time information regarding zonal parking availability is provided to users (“full-knowledge” scenario). We then show how information provision can change peoples’ behavior and reduce cruising, thus improving system efficiency (e.g., reducing total driving time). Furthermore, we present models for both static and time-dependent parking pricing (under belief-updating). It has been shown that by appropriately pricing parking, travelers can be guided to garage parking or on-street parking in zones surrounding the most congested center zone, thus reducing cruising significantly and improving system efficiency. Our study suggests that simple and elegant pricing strategies for managing downtown parking can be developed and optimized based on aggregated information which is easy to collect with current advancements in sensors and crowdsourcing techniques.

1:15pm - 2:00pm   Refreshments and lunch provided over networking

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Sir Alwyn Williams Building

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Glasgow, United Kingdom

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