Oregon State University

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Event Details

PhD Dissertation Defense

Networked Multi-agent Modeling of Connected Vehicles in Mixed Traffic Environment: A Decentralized Consensus Approach

Friday, September 15, 2017 10:00 AM - 12:00 PM

Candidate: Merih Wahid

Advisor: Dr. Haizhong Wang

Transportation systems are facing safety and operational challenges with a cost of billions of dollars annually in lost production time and wasted fuel. Infrastructure expansion, previously held as a panacea to most transportation challenges has lost its appeal due to financial, land-use and environmental constraints. The focus is shifting towards intelligent transportation systems (ITS) and connected-automated vehicles (CAV) as potential solutions.

A flexible open source platform, based on SUMO (Simulation of Urban MObility), has been developed to simulate connected vehicle INFLO (Intelligent Network Flow Optimization) applications in a multi-lane corridor with mixed connected and ordinary vehicles. Using a well-known data-set, NGSIM I-80 freeway data, vehicle trajectory reconstructed from video have been parsed and incrementally increasing market diffusion of connected vehicles and different communication range were simulated ensuring the same naturalistic driving characteristic as observed in the original data-set. Traffic performance measures, communication network properties and dynamical stability of the system have been assessed to determine the impact of connected vehicles on existing transportation facilities. Several potential scenarios have been considered including the spatio-temporal distribution of connected vehicles, queue formation, heterogeneous connected vehicles and managed lane.

Increased market penetration of connected vehicles results in the reduction of travel time and improvement of travel time reliability. With high market penetration (75-100%) showing a 20% reduction in travel time. Moreover, lane capacity is observed to increase from medium market penetration (40-60%) of connected vehicles. Due to the constantly switching Connected Vehicle Network (CVN) topology, the effective communication range has minimal to no impacts on the effectiveness of connected vehicles in all simulated scenarios. However, marginal benefits are observed for heterogeneous connected vehicles and queue warning scenario with higher communication range. Managed lanes, as travel management strategy during the initial deployment stages, have been shown to outperform all scenarios in terms of travel time reduction, increase in travel time reliability, capacity and network robustness.


Kearney Hall (campus map)
Sch of Civil/Constr Engr
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