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Modeling, Estimation, and Control in Highway Traffic Based on Discrete Event Dynamic Systems- [electronic resource]
Modeling, Estimation, and Control in Highway Traffic Based on Discrete Event Dynamic Systems- [electronic resource]
- 자료유형
- 학위논문
- Control Number
- 0016932719
- International Standard Book Number
- 9798379842147
- Dewey Decimal Classification Number
- 620
- Main Entry-Personal Name
- Ruan, Keyu.
- Publication, Distribution, etc. (Imprint
- [S.l.] : Purdue University., 2020
- Publication, Distribution, etc. (Imprint
- Ann Arbor : ProQuest Dissertations & Theses, 2020
- Physical Description
- 1 online resource(138 p.)
- General Note
- Source: Dissertations Abstracts International, Volume: 85-01, Section: A.
- General Note
- Advisor: Li, Lingxi;Hu, Jianghai.
- Dissertation Note
- Thesis (Ph.D.)--Purdue University, 2020.
- Restrictions on Access Note
- This item must not be sold to any third party vendors.
- Summary, Etc.
- 요약Petri net (PN) is a useful tool for the modeling and analysis of complex systems and has been widely used in a variety of practical systems. This dissertation aims at studying highway transportation systems using Petri nets and investigating several fundamental problems related to the modeling, state/structure estimation, and control of highway traffic.This dissertation starts with two kinds of modeling schemes. The first one uses the Probabilistic Petri net to model a highway segment. The traffic movement probabilities have also been shown. The second scheme uses the traditional Petri net structure to model the traffic network around a city's metropolitan area, where places represent the destinations of interests and tokens represent time units.After that, two estimation algorithms and one control algorithm have been proposed, respectively, based on external observations. The first algorithm deals with labeled Petri nets and the objective is to estimate the minimum initial marking that has (have) the smallest token sum. The second algorithm estimates the Petri net structures from the observations of finite token change sequences in terms of the minimum number of transitions and connections. At last, the traffic volume control algorithm is to keep the traffic volume within capacity. The controller will be applied in each evolution step depending on observation.Since we have been focusing on the optimization problems of the structure and markings of the Petri net, it is directly related to the optimal route planning problems in highway traffic scenarios. Thus, we can obtain optimized traveling routes by applying proposed algorithms to the traffic systems.
- Subject Added Entry-Topical Term
- Control algorithms.
- Subject Added Entry-Topical Term
- Fuzzy sets.
- Subject Added Entry-Topical Term
- Automobile drivers.
- Subject Added Entry-Topical Term
- Performance evaluation.
- Subject Added Entry-Topical Term
- Planning.
- Subject Added Entry-Topical Term
- Traffic accidents & safety.
- Subject Added Entry-Topical Term
- Roads & highways.
- Subject Added Entry-Topical Term
- Vehicles.
- Subject Added Entry-Topical Term
- Mathematics.
- Subject Added Entry-Topical Term
- Transportation.
- Added Entry-Corporate Name
- Purdue University.
- Host Item Entry
- Dissertations Abstracts International. 85-01A.
- Host Item Entry
- Dissertation Abstract International
- Electronic Location and Access
- 로그인을 한후 보실 수 있는 자료입니다.
- Control Number
- joongbu:643536