Institute for Transport Studies (ITS)

Estimation and Control of Traffic Flows Workshop

21-22 November 2013 

Organised by Dr Dong Ngoduy, Professor Mike Smith and Professor Eddie Wilson

We are pleased to announce the second workshop on traffic flow modelling and control, which will be held in the ITS lecture room on 21-22 November 2013.  The workshop will bring together experts in traffic flow prediction, control and data fusion, to share their recent research and views on the state-of-the-art in traffic flow modelling. 

The workshop is free to attend, but places must be booked in advance.

Please email the organizer Dr Dong Ngoduy: d.ngoduy(at)leeds.ac.uk

Programme

Each session comprises a 30 minute presentation followed by 10 minutes of questions and discussion.

21st November 2013: Traffic flow estimation

10.00

Introductory remarks:
Dr Dong Ngoduy and Professor Eddie Wilson

10.05

Lecture 1: A decision-based stochastic model to estimate commuting trip demands

Dr Fillipo Simini
(University of Bristol)

10.45

Lecture 2: On the estimation of temporal mileage rates

Professor Eddie Wilson
(University of Bristol)

11.25

Coffee

11.55

Lecture 3: Forecasting traffic flow using artificial neural networks

Dr Lipika Deka (Loughborough University)

12.35

Lunch

14.05

Lecture 4: Traffic flow estimation problems from bluetooth data

Dr Dong Ngoduy
(ITS, University of Leeds)

14.45

Lecture 5: Simulation based data fusion: applications in modelling travel time variability and OD estimation

Dr Charisma Choudhury
(ITS, University of Leeds)

15.25

Tea

15.55

Lecture 6: Traffic Flow Modelling and Control of Heterogeneous Transportation Networks

Dr Konstantinos.Ampountolas (University of Glasgow)

16.35

Lecture 7: Estimating flows at large-scale congested networks

Dr Francessco Viti (University of Luxembourg)

17.15

Close

22nd November 2013: Traffic flow modelling and control

10.00

Lecture 8: Traffic Control and Route-choice: Optimising green-splits in capacity-constrained signal-controlled networks while allowing for route choices

Professor Mike Smith (University of York)

10.40

Lecture 9: Supervised learning from humans for solving computationally hard problems in traffic control

Dr Simon Box
(University of Southampton)

11.20

Coffee

 

11.50

Lecture 10: A bottleneck model with stochastic capacity

Dr Ronghui Liu (ITS, University of Leeds)

12.30

Lunch

 

14.00

Lecture 11: A comparative study of macroscopic urban traffic flow models

Dr Andy Chow
(University College London)

14.40

Lecture 12: Constructing continuous traffic models from real traffic data

Dr Eugeny Buldakov (University College London)

15.20

Concluding remarks

Professor Mike Smith
(University of York)

15.30

Close