Current Research
If you are Interested in any of our project reports and would like to have a copy, please contact us
TOC Training
Team: Dr Peter T Martin (Principal Investigator), Jeremy Gilbert
Abstract:
Intro to Training part 2 maps, etc(edit)
elgame 2
Team: Dr Peter T Martin (Principal Investigator), Ivana Vladisavljevic, Bhagavan Nadimpalli, James Ries
Abstract:
Vissim Simulation Video
Team: Dr Peter T Martin (Principal Investigator), Aleksandar Stevanovic, Bhagavan Nadimpalli
Abstract:
Adaptive Signal Control III
Team: Dr Peter T Martin (Principal Investigator), Aleksandar Stevanovic
Abstract: A study has shown that Adaptive Signal Control is effective for both arterials and networks. It showed that Adaptive Control is an effective traffic control system for coping with incidents. The project concluded with a plan to move toward implementation. This project takes the adaptive control concept forward through a more detailed examination of technical implications of a new installation. It addresses alternative implementation sites and provides a detailed assessment of the likely effectiveness of the preferred location.
Genetic Algorithms in Traffic Control Optimization
Team: Dr Peter T Martin (Principal Investigator), Aleksandar Stevanovic, Jelka Stevanovic
Abstract: This study presents one way of optimizing traffic signal timings. It describes the use of genetic algorithms in traffic signal optimization. The program consists of a genetic algorithm optimizer and a microscopic traffic simulator. The optimizer evolves generations of individual timing plans (cycle lengths, offsets and green split values) which are better suited to the given traffic conditions. The evolved generations consist of signal timings generated by combing the values of signal timings from previous generations. Each timing plan is then simulated and evaluated through the microscopic simulator. VISSIM A.10 is used as a traffic simulator.
The Impact of Cell Phone Conversation on Traffic Flow
Team: Dr Peter T Martin (Principal Investigator), Aleksandar Stevanovic, Ivana Vladisavljevic
Abstract: In consideration of the growing number of wireless phone subscribers and drivers using cell phones, it is important to examine the effects that having a cell phone conversation while driving has on traffic flow. The literature review mostly contains Dr. Strayer’s work. This study includes an analysis of important parameters for modeling a distracted driver. We have chosen the simulation software VISSIM for examining the impact of cell phone conversation on traffic flow because it uses the psycho-physical driver behavior model developed by Wiedermann. We proposed some of the possible ways for implementing gathered parameters into the VISSIM model and tried to replicate the car following behavior that Dr. Staryer observed in his experiments. Future work will expand the simulation model to represent the real freeway. The results from the VISSIM model will be evidence that cell phone conversation has a negative effect on traffic flow.
Visum-Online: A New Approach to Transportation Modeling (Real-Time Traffic Modeling – Determining, Predicting and Providing Traffic Information)
Team: Dr Peter T Martin (Principal Investigator), Aleksandar Stevanovic, Dejan Jovanovic
Abstract: For the first time in the United States, the Utah Traffic Lab is going to use VISUM-Online to predict future travel time or delay of a route based on the current state of the system and historical data. VISUM-Online is a mesoscopic traffic flow simulation software for prediction. It is based on transportation planning, traffic flow models, and real-time traffic data. VISUM-online combines VISUM, a transportation planning package, with a series of state-of-the-art traffic flow models and database management tools for real-time traffic management. It computes traffic conditions and travel times used for dynamic route guidance. Dynamic traffic analyses and forecasts provide advanced traffic management systems with completely new applications in transportation control, strategic management and traveler information.