| Summary: | 碩士 === 國立中央大學 === 資訊工程研究所 === 98 === In recent years, a lot of researches about Vehicular Ad-hoc Networks (VANETs) and Intelligent Transport System (ITS) have been developed. The related researches in VANETs are mainly focus on safety and applications. How to service more vehicles and passengers and shorten traveling time is a major challenge issues that researchers need to solve. It is feasible to achieve aforementioned goal by using inter-vehicle communication (V2V) or vehicle to infrastructure communication (V2I) to exchange real-time traffic information and adjust traffic signal cycle by infrastructure. However, there are many related research only taking number of vehicles into consideration while ignoring the passengers on vehicles is the most important factor.
To solve shortcomings in existing solution, a passenger based traffic signal control mechanism is proposed in the thesis. In our proposal, traffic control factor is according to the number of passengers on vehicle, pollutant emission and fuel consumption. On board unit (OBU) equipped inside vehicle is utilized to gather vehicle’s information such as the number of passengers on vehicle, pollutant emission and fuel consumption. The collected messages are transmitted to road side unit (RSU) and we make RSU as traffic signal control agent to adjust traffic signal cycle in order to transport more passenger to their destination. The main objectives of the thesis is to propose a new traffic signal control mechanism to reduce passenger transportation time and decrease vehicles’ fuel consumption and pollutant emission.
We conduct simulation to examine our proposal and simulation results show the significant improvement of proposed mechanism when compared with disable our proposal. The comparative indexes are average passenger delay, vehicle delay, fuel consumption, pollutant emission and number of stop times. It can reduce average passenger delay at least 10.5% and average vehicle’s stop times at most 18.53%. In addition, the proposed mechanism can improve usage of fuel consumption at average 2.5%.
|
|---|
