Swiss Transportation Research Conference STRC 2011

STRC

Keynote speakers

Prof. Richard Arnott

Traffic Dynamics in the Morning Rush Hour: Beyond the Bottleneck Model
Elaboration of Vickrey's bottleneck model has greatly improved our understanding rush hour traffic dynamics. However, we are still a long way from confronting theory with Real World data. This paper discusses three theoretical extensions that aim to bridge this gap: i) contrary to the bottleneck model, when heavily congested, downtown traffic flow falls as traffic density increases; ii) even in metropolitan areas with highly dispersed and polycentric employment, such as Los Angeles, the dynamics of rush hour traffic congestion change systematically over space; and iii) contrary to the bottleneck model, the temporal distribution of work start times (and other activities) is endogenous, being determined by (as well as determining) rush hour traffic dynamics.

Prof. Nigel Wilson

The Role of Information Technology in Improving Transit Systems
Improving performance of computers and communications technologies are now starting to have a significant impact on the urban public transport industry. Automatic data collection systems including automatic vehicle location systems, automatic passenger counting systems, advanced passenger information systems and electronic fare payment and ticketing systems are becoming ubiquitous in large systems and are having an impact on the quality and availability of information for service and operations planning, controlling the service and measuring the resultant service quality delivered to passengers. While the impacts of these advances are already apparent in many systems, there is the potential for much deeper impact in the future. Technology continues to improve across the board and will offer opportunities to develop and apply more ambitious models to assist in many facets of the performance of public transport systems. This presentation will examine current public transport industry practice in this arena and discuss the potential for future enhancement of these individual public transport agency functions as well as their inter-relationships.

Prof. Daniel Graham

Causal inference for road traffic accident analysis
This talk discusses the estimation of causal effects from observational data in the longitudinal setting. A model for the estimation of continuous treatment effects based on adjustments for the generalized propensity score (GPS) is described. Results from a case study of the effect of area deprivation on the incidence of child pedestrian casualties (CPCs) are presented. Causal estimates of the dose-response function show a strong effect on CPCs from area deprivation. In the longitudinal setting, sequential modelling of the assignment mechanism and then potential outcomes, rather than direct modelling of the mean response alone, can provide a more flexible and informative inference procedure particularly when time-invariant confounding is present.

Important dates

February 10, 2011: (extended) deadline for abstract submission
February 25, 2011: notification to authors
April 15, 2011: submission of full papers
May 11-13, 2011: conference

Contacts

Prem Viswanathan

Transport and Mobility Laboratory (TRANSP-OR)
EPFL ENAC IIC TRANSP-OR
Station 18
CH-1015 Lausanne
prem.viswanathan@epfl.ch

Tel: +41 (0) 21 693 24 32
Fax: +41 (0) 21 693 80 60