東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Simulation-based evaluation of traff...

Yang, Hong.

FindBook

Google Book

Amazon

博客來

Simulation-based evaluation of traffic safety performance using surrogate safety measures.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Simulation-based evaluation of traffic safety performance using surrogate safety measures./
作者:	Yang, Hong.
面頁冊數:	176 p.
附註:	Source: Dissertation Abstracts International, Volume: 73-07(E), Section: B.
Contained By:	Dissertation Abstracts International73-07B(E).
標題:	Engineering, Civil. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3502513
ISBN:	9781267255273

Simulation-based evaluation of traffic safety performance using surrogate safety measures.
Yang, Hong.

Simulation-based evaluation of traffic safety performance using surrogate safety measures. - 176 p.

Source: Dissertation Abstracts International, Volume: 73-07(E), Section: B.

Thesis (Ph.D.)--Rutgers The State University of New Jersey - New Brunswick, 2012.

This item is not available from ProQuest Dissertations & Theses.

Traffic safety evaluation is one of the most important processes in the analysis of transportation systems performance. The use of traditional crash-data-oriented methodologies to analyze traffic safety problems has been frequently questioned due to shortcomings such as unavailability and low quality of historical crash data. The advancement of traffic conflict techniques and micro-simulation tools motivated this dissertation to develop a simulation-based approach of combining micro-simulation models and traffic conflict technique to investigate the safety issues in traffic systems.

ISBN: 9781267255273Subjects--Topical Terms:

783781
Engineering, Civil.

Simulation-based evaluation of traffic safety performance using surrogate safety measures.
LDR:03656nmm a2200337 4500 001 2057108
005 20150630140242.5
008 170521s2012 ||||||||||||||||| ||eng d
020 $a 9781267255273
035 $a (MiAaPQ)AAI3502513
035 $a AAI3502513
040 $a MiAaPQ $c MiAaPQ
100 1 $a Yang, Hong. $3 895160
245 1 0 $a Simulation-based evaluation of traffic safety performance using surrogate safety measures.
300 $a 176 p.
500 $a Source: Dissertation Abstracts International, Volume: 73-07(E), Section: B.
500 $a Adviser: Kaan Ozbay.
502 $a Thesis (Ph.D.)--Rutgers The State University of New Jersey - New Brunswick, 2012.
506 $a This item is not available from ProQuest Dissertations & Theses.
506 $a This item must not be sold to any third party vendors.
520 $a Traffic safety evaluation is one of the most important processes in the analysis of transportation systems performance. The use of traditional crash-data-oriented methodologies to analyze traffic safety problems has been frequently questioned due to shortcomings such as unavailability and low quality of historical crash data. The advancement of traffic conflict techniques and micro-simulation tools motivated this dissertation to develop a simulation-based approach of combining micro-simulation models and traffic conflict technique to investigate the safety issues in traffic systems.
520 $a The proposed simulation-based approach consists of two major components: the development of surrogate safety measures; and the integration of the developed surrogate safety measures with micro-simulation models. In this dissertation, a new surrogate safety measure is derived and applied in micro-simulation models to capture the conflict risk of the interactions among vehicles. The conceptual and computational logics of the proposed surrogate safety indicator are described in detail. A calibration procedure that focuses on safety evaluation using the simulation model with the new surrogate measure has been proposed. The proposed calibration approach has been developed based on the stochastic gradient approximation algorithms to find optimal parameters of the stochastic traffic simulation models. The calibration methodology has been implemented on a selected traffic simulation platform to test its performance. Simulated operational measurements and traffic conflict risk in terms of the surrogate safety measure are quantified and compared with observations derived from high resolution vehicle trajectory data. The calibrated traffic model has also been validated by using independent vehicle trajectory data saved as a hold-out sample. The results show that the fine-tuning of parameters using the proposed calibration approach can significantly improve the performance of the simulation model to describe actual traffic conflict risk as well as operational performance.
520 $a The applicability of the proposed new surrogate measure and the simulation-based safety evaluation approach using this surrogate measure has been successfully demonstrated through several cases studies. The overall findings can inform road safety investigators as to how operations-oriented simulation models in conjunction with the surrogate safety measure can complement traffic safety evaluation in cases to which traditional approaches are not applicable.
590 $a School code: 0190.
650 4 $a Engineering, Civil. $3 783781
650 4 $a Engineering, General. $3 1020744
650 4 $a Transportation. $3 555912
690 $a 0543
690 $a 0537
690 $a 0709
710 2 $a Rutgers The State University of New Jersey - New Brunswick. $b Graduate School - New Brunswick. $3 1019196
773 0 $t Dissertation Abstracts International $g 73-07B(E).
790 $a 0190
791 $a Ph.D.
792 $a 2012
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3502513