Li, Chao (2016) Vehicular Safety and Operations Assessment of Reserved Lanes using Microscopic Simulation. Masters thesis, Concordia University.
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Abstract
Evaluation of roadway safety via the analysis of vehicular conflicts using microscopic simulation shows increasing preference among transportation professionals, mostly due to significant advances in computational technology that allows for better efficiency when compared with other traffic safety modeling approaches. In addition, since modeling vehicular interactions via simulation is intrinsic to the methodology, one may assess various impacts of safety treatments without disrupting vehicle movements and before proceeding with real-world implementations. VISSIM, a microscopic traffic simulation model, is used in this thesis to reproduce vehicular interactions of an urban High Occupancy Vehicle (HOV) arterial in Québec. The model is calibrated to reflect the observed real-world driving behavior. Vehicle conflicts are assessed using the Surrogate Safety Assessment Model (SSAM) developed by Federal Highway Administration (FHWA). The experimental results indicate that the existing study area has a significant safety problem, mostly due to high interactions between buses and passenger cars. Alternative geometric and control designs are evaluated to ameliorate traffic safety. It is shown that the proposed alternative solutions can be used to either efficiently eliminate many vehicular traffic conflicts, or to significantly reduce public transit delay while ameliorating traffic safety. It is expected that this methodology can be successfully applied to other similar reserved lanes facilities.
Divisions: | Concordia University > Gina Cody School of Engineering and Computer Science > Building, Civil and Environmental Engineering |
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Item Type: | Thesis (Masters) |
Authors: | Li, Chao |
Institution: | Concordia University |
Degree Name: | M.A. Sc. |
Program: | Civil Engineering |
Date: | 2 November 2016 |
Thesis Supervisor(s): | Alecsandru, Ciprian |
Keywords: | Traffic Simulation, HOV lanes, Traffic Safety and Operational Efficiency Analysis, Surrogate Safety Assessment |
ID Code: | 982035 |
Deposited By: | CHAO LI |
Deposited On: | 09 Jun 2017 13:56 |
Last Modified: | 08 Dec 2018 01:00 |
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