全球暖化逐漸受到各國重視，如何減少溫室氣體的排放已經成為一項挑戰。許多的溫室氣體產生自運輸系統，其中又一大部分來自於效率不彰的號誌控制所導致的交通壅塞現象。一個合適的交通號誌控制能夠降低燃油消耗與溫室氣體排放，進而做到環境保護。
本論文研究重點放在降低燃油消耗與溫室氣體排放。為了達成這項目的，需要提出一個適應性號誌控制系統，並且該系統能夠接近真實的駕駛者心理，如：穩定的時相時間以及固定的時相順序，確保駕駛者的安全。
本研究提出一個車載網路技術為基礎的協同式適應性號誌控制系統(VCSC)。VCSC系統內含有PUD演算法。PUD演算法透過V2R與R2R方式所蒐集的資料來決策最佳號誌時制計劃。並透過Rockwell Arena模擬軟體實作並測量VCSC系統的效能。
經過模擬實驗後，於3*3的路網情況下，實驗結果顯示燃油消耗有效降低，然而卻造成較差的CO2排放。在1*3的路網情境，VCSC系統展現有效地降低了燃油消耗與CO2排放。

As the global warming issue is gaining more and more attentions, how to reduce the emissions of greenhouse gas is a big challenge. Lot of greenhouse gas is coming from transportation system and most of it is coming from a congested traffic situation due to an inefficient traffic signal control. A suitable traffic signal control can reduce the fuel consumption and greenhouse emissions.
This paper focuses on reduce both fuel consumption and emissions of intersection. In order to reduce vehicles’ fuel consumption and emissions, an adaptive traffic signal control system which is closer to drivers’ psychology, such as stable green time and fixed phase sequence, has been proposed.
In this paper, a VANET-based coordinated signal control model which focuses on the reduction of fuel consumption and CO2 emissions is proposed. And used Rockwell Arena simulation software to measure our VCSC system’s performance.
After the experiment, in the case of 3*3 network, the simulation result shows that fuel consumption reduced better than FPA(Fairness Provisioning Algorithm). However, the CO2 emission performance is not satisfactory. In the case of 1*3 network, the simulation result shows that the proposed VCSC system is outperformed to the traditional coordination signal control models, both in fuel consumption and CO2 emission.

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