Thanh-Son Dao

Markov-Based Lane Positioning Using Intervehicle Communication

The majority of todays navigation techniques for intelligent transportation systems use global positioning systems (GPS) that can provide position information with bounded errors. However, due to the low accuracy that is experienced with standard GPS, it is difficult to determine a vehicles position at lane level. Using a Markov-based approach based on sharing information among a group of vehicles that are traveling within communication range, the lane positions of vehicles can be found. The algorithms effectiveness is shown in both simulations and experiments with real data.

Optimized Lane Assignment Using Inter-Vehicle Communication

This paper presents an approach to lane assignment for highway vehicles that increases traffic throughput while ensuring they exit successfully at their destinations. Most of current traffic management systems do not consider lane organization of vehicles and only regulate traffic flows by controlling traffic signals or ramp meters. However, traffic throughput and efficient use of highways can be increased by coordinating driver behaviors intelligently. The goal of this research is to form a distributed control strategy for cars themselves to select lanes using inter-vehicle communication. Initial results are promising and demonstrate that intelligent lane selection can decrease vehicle traffic time.

Distributed platoon assignment and lane selection for traffic flow optimization

This paper presents an approach to lane assignment for highway vehicles that increases traffic throughput while ensuring vehicles can exit successfully at their destinations. To enhance traffic safety and increase lane capacities, vehicles can be organized into platoons with the objective of maximizing the travel distance that platoons stay intact and then apply lane assignment to these platoons. The goal of this research is to form a distributed control strategy to select lanes for platoons using inter-vehicle communication. We evaluate the current platoon lane assignment strategy and compare its improvement over average vehicle travel time with the lane assignment for single vehicles reported in our previous work. Simulation results show that while cooperate control for single vehicle lane assignment does lead to decreased vehicle travel times, the implementation of cooperative lane assignment for platooning vehicles leads to an even greater reduction.

Development of a microscopic traffic simulator for inter-vehicle communication application research

This paper describes the development of a microscopic traffic simulator purposely designed for ITS researchers studying inter-vehicle communication (IVC) concepts and applications in large traffic networks. The simulator can represent real life vehicles within the simulation by using data from vehicle Global Positioning System (GPS) receivers, enabling validation of theories with real vehicle data. The software is developed on top of the existing microscopic traffic simulator VISSIM with the added flexibility of modelling and efficiently handling communication between large numbers of vehicles. This along with the software architecture was discussed in detail

Co-operative lane-level positioning using Markov localization

The majority of todays navigation techniques for intelligent transportation systems use Global Positioning Systems (GPS) that can provide position information with bounded errors. However, because of the low accuracy and multi-path problem, it is challenging to determine a vehicles position at lane level. With Markov-based approach based on sharing information among a group of vehicles that are traveling close to each other, the lane positions of vehicles can be found. The algorithm shows its effectiveness in both simulations and experiments with real data

Realtime experiments in Markov-based lane position estimation using wireless ad-hoc network

This paper presents real-time experimental results for a new lane positioning system using Markov localization based on inter-vehicle communication. The proposed system uses low-cost GPS receivers to provide vehicle locations. The system also combines a low-pass Butterworth filter and a particle filter for GPS receiver noise rejection. To study the new lane positioning system, a multi-threaded program in C++, that enables the communication between vehicles and determines their lane positions in real-time, was developed. Experiments using this software validate the effectiveness of the lane positioning system.

Physics-Based Models, Sensitivity Analysis, and Optimization of Automotive Batteries

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