The number of instant delivery and transportation services grows rapidly with many competing companies such as Amazon Now, GrubHub, Doordash, GoPuff, MOIA, or Uber. The service-providers respond in real time to customer demand and promise a successful service fulfillment only a short time later. To keep customers happy and to grow the customer base, reliable […]
Demand-responsive transit, on-demand transit, microtransit. Adding technology-powered flexibility to transit service is not a new concept, but with smartphones in (almost) every pocket and the emergence of cloud-based applications, a huge number of new on-demand transit services are being piloted in Canada. Many politicians, planners, and operators have looked to on-demand transit as a potential […]
This presentation discusses various elements of report writing as a guide to graduate students preparing term project reports, journal articles, theses, etc. It is intended to address some typical issues that graduate students encounter in their writing. Topics discussed include: report organization; report style; treatment of tables, figures, exhibits and appendices; grammar and syntax; spelling […]
As a leading provider of software solutions for commuter/transportation demand management, RideShark has evolved over 15 years to promote shared, active and public transportation options. In this presentation, Siemiatycki will discuss the challenges and opportunities RideShark is pursuing in what has come to be known as Mobility-as-a-Service (MaaS). He will provide real-world examples of how […]
Mitigating the substantial undesirable impact of transportation systems on the environment is paramount. Thus, predicting Greenhouse Gas (GHG) emissions is one of the profound topics, especially with the emergence of intelligent transportation systems (ITS). We developed a deep learning framework to predict link-level GHG emission rate (ER) (in CO2eq gram/second) based on the most representative […]
Modelling increasingly dynamic and complex mobility services requires significant extensions to our conventional agent-based microsimulation (ABM) model systems. A first key aspect focuses on explicit modelling of more complex and dynamic service provision processes, involving several operational activities conducted by service providers (e.g., matching, fleet rebalancing, dynamic pricing, etc.). A second key aspect consists of […]
This seminar focuses on the current state of applied artificial intelligence (AI) in the transportation industry. The main focus is on describing the different types of AI applications that currently exist in transportation and the demand for data science skills in the industry. Case studies and personal anecdotes inform thoughts on what the future holds […]
This talk presents two projects that build data-driven solutions for city operations planning and management. The first part is devoted to the emerging food delivery operations. Working with a major food delivery service provider in China, we develop a data-driven optimization framework to minimize customers' expected delivery delay. To capture the driver's routing behaviors, we […]
The COVID-19 pandemic has drastically impacted travel behaviour in cities across the world, affecting how people travel and the reasons people leave their homes. In spite of the pandemic, and consequent the stay-at-home orders, the need to participate in non-mandatory activities remains. These activities, which include grocery shopping, social activities, and recreational activities, play a […]
Transit technologies such as Intelligent Transportation Systems (ITS) and Advanced Fare Collection (AFC), as well as others, offer tremendous opportunities to support transit planning and management, but progress in the industry to seize on these opportunities has been slow. Dr. Brendon Hemily has been involved in many projects over the last three decades related to […]
