A customized route guidance strategy based on macroscopic fundamental diagram거시적 교통기본도 기반의 개인 맞춤형 경로 생성 전략

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To understand traffic phenomena and further to solve congestion problems, various traffic flow models have been developed. Recently, there have been many attempts to manage congestion at the network level using macroscopic fundamental diagrams (MFD), because these have the advantage of enabling effective management of the network traffic while reducing the complexity of the model. In this study, the author proposes a method to utilize large-scale data collected at the micro level of individual vehicles for a macroscopic traffic management strategy at the city level. First, this study investigates how to process and modify the transportation big data, and use it to estimate the empirical MFDs for a real metropolitan city. This study analyzes the bifurcation phenomenon in empirically estimated MFDs to find causal factors, and create a method to improve network performance based on the findings. To this end, this study proposes a utility-maximized route guidance strategy considering individual route choice preferences. Applying the proposed strategy through Model Predictive Control (MPC)-based simulation yielded positive effects on both network performance and drivers’ utility. Accordingly, it can be expected that the proposed strategy will increase drivers’ route compliance rate. The simulation also showed that the higher the compliance rate, the better the effectiveness of the proposed strategy.
Advisors
Jang, Kitaeresearcher장기태researcher
Description
한국과학기술원 :조천식녹색교통대학원,
Publisher
한국과학기술원
Issue Date
2020
Identifier
325007
Language
eng
Description

학위논문(박사) - 한국과학기술원 : 조천식녹색교통대학원, 2020.8,[v, 118 p. :]

Keywords

Macroscopic Fundamental Diagram (MFD)▼aBifurcation Phenomenon▼aTransportation Big Data▼aRoute Choice Preference▼aUtility Function▼aCustomized Route Guidance Strategy▼aModel Predictive Control▼aOptimization; 거시 교통류 모형(MFD)▼a교통류 분기 현상▼a교통 빅데이터▼a경로 선택 선호도▼a운전자 효용 함수▼a맞춤형 경로 생성 전략▼a모델 예측 제어▼a최적화

URI
http://hdl.handle.net/10203/284339
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=924337&flag=dissertation
Appears in Collection
GT-Theses_Ph.D.(박사논문)
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