My MSc Thesis

Connected Vehicle Extension and Integration of Traffic and Discrete Event Simulation Systems Applied to Evaluations Based on Dedicated Short Range Communication for Safety and Mobility Indices

This study is aimed at developing and modeling a specific extension of Connected Vehicles (CV) system and its applications in the Intelligent Transportation System (ITS) through the designated traffic and wireless simulation networks. A typical traffic micro-simulator and a discrete event simulator individually lack the ability of fully capturing the behavior of the CV system. In this research I investigate modeling the CV system, for Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) communications based on Dedicated Short Range Communication (DSRC) by enabling the two simulators communicate sequentially. PARAMICS is selected as the traffic micro-simulator. OPNET is used as the discrete event simulator. The contributions are: (1) designing the CV system as a Multiagent System (MAS) using MaSE methodology and implementing its outcomes as extensions for the PARAMICS using two distinctive APIs (Application Programming Interface); and (2) developing the integration of PARAMICS and OPNET for implementation and evaluation of DSRC-based vehicular communication protocols and their utilizations in the context of ITS. The results are verified through experiments that demonstrate the overall effectiveness of the CV. Three case studies are presented: impacts of CV on improving (1) traffic safety and (2) mobility on a section of Deerfoot trail, Calgary, Alberta; (3) the optimum selection of DSRC communication range of Road Side Units (RSUs) and a definitive percentage of CVs in the network to have the least data loss and delay in V2V and V2I data transmission for weekdays’ traffic counts.

• Date: July 2014
• Advisor: Behrouz H. Far
• University of Calgary

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My Publications

Here are my published papers!

• A chatbot for conflict detection and resolution

• A Framework for Understanding Chatbots and their Future

• A simulation-based benefit analysis of deploying connected vehicles using dedicated short range communication

• Modeling And Simulation Of Advisory Speed And Re-routing Strategies In Connected Vehicles Systems For Crash Risk And Travel Time Reduction

• Analysis, Design and Implementation of an Agent Based System for Simulating Connected Vehicles

• Analysis, Design and Implementation of an Agent Based System for Simulating Connected Vehicles

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Sayme

Code Conflict Detection Chatbot

Sayme offers awareness of parallel work by informing developers of any emerging conflicts in real-time and helping them to resolve those conflicts. Sayme particularly detects when developers work on the same code at the same time, or on two different pieces of code that are dependent on one another. Once it detects such a conflict, Sayme informs both developers and then guides them to a resolution, so that the developers can avoid running into a future merge conflict. This way, conflicts can be addressed when they are small and initially emerging, which saves developers significant time and effort./p>

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Bug Report Chatbot

Improving the quality of bug reports through a conversational AI-based interface

My bug report chatbot helps users in writing better bug reports. Many bug reports are submitted every day, and many of them lack the information that developers need to act on them. They may be incomplete, not precise, or lack the context in which the bug appears. To address this problem, we are designing a new chatbot that uses natural language understanding techniques to analyze the information that users provides and, when needed (i.e., when the chatbot detects problems with the information), interacts with the user to improve the information they submit.

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