Promotion
Those registering for a webinar will receive a 15% discount when they purchase one copy of the Guidelines for Defining and Measuring Urban Congestion in print (PTM-DMUC-E) or e-book (PTM-DMUC-E-EBK) formats. A promo code will be provided as part of the webinar confirmation email. Offer valid until 2018-04-15.
Agenda
- Background
- Definition of traffic congestion
- Congestion measures and selection criteria
- Data sources and their applicability
- Data acquisition and processing
- Congestion visualization techniques and their applicability
- Decision support process
Learning Objectives
- Define traffic congestion
- Determine the best set of congestion measures for the target analysis
- Select the most applicable technology and data sources for the target analysis
- Process the collected data and estimate traffic congestion
- Select the best suite of visualization techniques for the target analysis
Target Audience
Transportation professionals with all levels of experience
Presenters
Pedram Izadpanah, Ph.D., P.Eng., Partner, Senior Project Manager, CIMA+
Pedram has more than 14 years of experience in traffic and transportation engineering. He has developed new methodologies for measurement and presentation of travel time and traffic conditions using various sources of data, including data from commercial vendors (TomTom and INRIX), inductive loop detectors, Bluetooth detectors, and GPS equipped probe vehicles. Dr. Izadpanah has taught traffic engineering courses at the University of Waterloo and McMaster University.
Soroush Salek, Ph.D., P.Eng., Associate Partner, Project Manager, CIMA+
Soroush has more than 12 years of academic and consulting experience in different areas of transportation engineering. He was involved in several transportation modeling studies at both operational and planning levels, and state-of-the-art projects dealing with statistical analysis of big datasets including data assessment, outlier detection, and statistical inference. He has conducted extensive research on estimation and prediction of traffic state on roadways using data obtained from both conventional and cutting-edge technologies. Dr. Salek is the winner of CITE 2014 Dr. Van Aerde Memorial Award and a member of the Transportation Research Board Travel Time and Reliability Committee.
Reza Omrani, Ph.D., P.Eng., Associate Partner, Project Manager, CIMA+
Reza has 10 years of academic and consulting experience in the field of ITS, traffic operations, and roadway safety. His expertise includes new and emerging technologies for transportation data collection and analysis, as well as the development of traffic policies and updating traffic manuals. He has been involved in updating the Ontario Traffic Manual (OTM) Book 11 and 12A, as well the 6th Edition of the Manual of Uniform Traffic Devices for Canada (MUTCDC). Currently, Reza is CIMA’s Deputy Project Manager for MTO’s 2016 Travel Time Study, which requires traffic data collection and analysis for highways and arterials within GTA from emerging wireless technologies. He has presented and published several papers in well-known conferences and journals.
EVENT: Live Webinar
DATE: Thursday, April 5, 2018
TIME: 1:00-2:30 PM ET
COST:
Individual (1 person): $129 members / $159 non-member
Group* of up to 5 people: $545 members / $795 non-member
Group* of up to 10 people: $1090 members / $1590 non-member
*A group registration fee allows multiple viewers to access the webinar via one computer login. All participants are expected to meet in the same room to hear and view the webinar (via one computer and a computer projection system). The group registration option does not permit you to have multiple logins. If your organization has multiple locations, each location will require a separate registration. The person in whose name the registration was made (the group registrant) will receive ALL correspondence related to the webinar - the link to access the webinar, the presentation materials, and the email sent after the webinar. Group registration must be made during a single transaction. We cannot retroactively group individual registrations together.
