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

FindBook

Google Book

Amazon

博客來

A New Surrogate Safety Indicator for Microscopic Road Safety Evaluation.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	A New Surrogate Safety Indicator for Microscopic Road Safety Evaluation./
作者:	Mo, Zhou.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2021,
附註:	Source: Dissertations Abstracts International, Volume: 83-05, Section: A.
Contained By:	Dissertations Abstracts International83-05A.
標題:	Algorithms. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28832499
ISBN:	9798460440436

A New Surrogate Safety Indicator for Microscopic Road Safety Evaluation.
Mo, Zhou.

A New Surrogate Safety Indicator for Microscopic Road Safety Evaluation. - Ann Arbor : ProQuest Dissertations & Theses, 2021

Source: Dissertations Abstracts International, Volume: 83-05, Section: A.

Thesis (Ph.D.)--National University of Singapore (Singapore), 2021.

This item must not be sold to any third party vendors.

Traditional accident-based approach is not suitable for microscopic road safety evaluation due to small sample records. Instead, Traffic conflicts are often used as surrogate measures. Conventional application of traffic conflict indicators, e.g. time to collision (TTC), are often conducted at fixed time intervals, utilising the most critical moment of an encounter. Such approach cannot translate well into location-based evaluation, which is more meaningful for drivers and policy-makers. This research proposes space-based TTC (STTC), measured at fixed space intervals, capable of identifying risks microscopically at specific spots on the roadway. Thorough comparison with TTC suggests advantages of STTC in terms of formulation, aggregation perspective and interpretation for location-based safety evaluation. For threshold calibration, an optimization algorithm addressing different severity classes of conflicts and crashes is developed. Given the calibrated thresholds and weights, cross-correlation tests are conducted, which validates STTC and more importantly discovers a dislocation effect between conflict and crash locations.

ISBN: 9798460440436Subjects--Topical Terms:

536374
Algorithms.

A New Surrogate Safety Indicator for Microscopic Road Safety Evaluation.
LDR:02225nmm a2200325 4500 001 2348659
005 20220912135629.5
008 241004s2021 ||||||||||||||||| ||eng d
020 $a 9798460440436
035 $a (MiAaPQ)AAI28832499
035 $a (MiAaPQ)USingapore188050
035 $a AAI28832499
040 $a MiAaPQ $c MiAaPQ
100 1 $a Mo, Zhou. $3 3688029
245 1 0 $a A New Surrogate Safety Indicator for Microscopic Road Safety Evaluation.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2021
500 $a Source: Dissertations Abstracts International, Volume: 83-05, Section: A.
502 $a Thesis (Ph.D.)--National University of Singapore (Singapore), 2021.
506 $a This item must not be sold to any third party vendors.
506 $a This item must not be sold to any third party vendors.
520 $a Traditional accident-based approach is not suitable for microscopic road safety evaluation due to small sample records. Instead, Traffic conflicts are often used as surrogate measures. Conventional application of traffic conflict indicators, e.g. time to collision (TTC), are often conducted at fixed time intervals, utilising the most critical moment of an encounter. Such approach cannot translate well into location-based evaluation, which is more meaningful for drivers and policy-makers. This research proposes space-based TTC (STTC), measured at fixed space intervals, capable of identifying risks microscopically at specific spots on the roadway. Thorough comparison with TTC suggests advantages of STTC in terms of formulation, aggregation perspective and interpretation for location-based safety evaluation. For threshold calibration, an optimization algorithm addressing different severity classes of conflicts and crashes is developed. Given the calibrated thresholds and weights, cross-correlation tests are conducted, which validates STTC and more importantly discovers a dislocation effect between conflict and crash locations.
590 $a School code: 1883.
650 4 $a Algorithms. $3 536374
650 4 $a User behavior. $3 3564661
650 4 $a Sensors. $3 3549539
650 4 $a Roads & highways. $3 3555163
650 4 $a Automobile safety. $3 3681451
650 4 $a Vehicles. $3 2145288
650 4 $a Automotive engineering. $3 2181195
650 4 $a Computer science. $3 523869
650 4 $a Engineering. $3 586835
650 4 $a Transportation. $3 555912
690 $a 0540
690 $a 0984
690 $a 0537
690 $a 0709
710 2 $a National University of Singapore (Singapore). $3 3352228
773 0 $t Dissertations Abstracts International $g 83-05A.
790 $a 1883
791 $a Ph.D.
792 $a 2021
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28832499