Afshin Shariat Mohaymany

ORCID: 0000-0002-7344-2067
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About
Contact & Profiles
Research Areas
  • Transportation Planning and Optimization
  • Traffic and Road Safety
  • Urban Transport and Accessibility
  • Transportation and Mobility Innovations
  • Traffic control and management
  • Traffic Prediction and Management Techniques
  • Facility Location and Emergency Management
  • Urban and Freight Transport Logistics
  • Vehicle Routing Optimization Methods
  • Infrastructure Resilience and Vulnerability Analysis
  • Multi-Criteria Decision Making
  • Injury Epidemiology and Prevention
  • Evacuation and Crowd Dynamics
  • Advanced Manufacturing and Logistics Optimization
  • Data-Driven Disease Surveillance
  • Human-Automation Interaction and Safety
  • Maritime Ports and Logistics
  • Vehicle emissions and performance
  • Reliability and Maintenance Optimization
  • Optimization and Mathematical Programming
  • Spatial and Panel Data Analysis
  • Fuzzy Systems and Optimization
  • Human Mobility and Location-Based Analysis
  • Technology and Security Systems
  • Software Reliability and Analysis Research

Iran University of Science and Technology
2014-2023

Arak University of Technology
2023

Marymount University
2013

Identifying high-crash-risk road segments provides safety specialists with an insight to better understanding of crash patterns and enhancing management. The common hotspot identification methods are not robust enough visualize the underlying shape since they neglect spatial properties data. Spatial traffic accidents have tendency be dependent, a phenomenon known as autocorrelation. Values over distance more or less similar than expected for randomly associated observations. Modeling...

10.1080/10095020.2013.766396 article EN cc-by-nc Geo-spatial Information Science 2013-02-21

Seventy percent of the traffic crash fatalities Iran happen on rural roads, and a significant proportion roads network this country is constituted main two-lane, two-way roads. The purpose study to identify most important factors which affect injury severity drivers involved in crashes these so that by eliminating or controlling such an overall safety improvement can be accomplished. Using Classification Regression Tree (CART), one powerful data mining tools, pertaining last three years...

10.7307/ptt.v23i1.144 article EN cc-by PROMET - Traffic&Transportation 2012-01-26

Iran is a country with one of the highest rates traffic crash fatality and injury, seventy percent these fatalities happen on rural roads. The objective this study to identify significant factors influencing injury severity among drivers involved in crashes two kinds major roads Iran: two-lane, two-way freeways.According dataset, 213569 were road Iran, over 3 years from 2006 2008. Classification And Regression Tree method (CART) was applied for 13 independent variables, target variable...

10.5249/jivr.v4i1.67 article EN Journal of Injury and Violence Research 2011-04-15

The current study aims to investigate the aberrant driving behaviour and risk involvement of Iranian taxi drivers. sample comprised 405 drivers, who were recruited with a cross-sectional design, using self-completion questionnaire survey during October November 2016. We contribute literature by understanding how what extent socioeconomic, demographic, driving, behaviours influence (accident traffic tickets). validated 27-item Driver Behaviour Questionnaire (DBQ) was applied measure...

10.3390/ijerph15081626 article EN International Journal of Environmental Research and Public Health 2018-08-01

Significant service performance capabilities of high-capacity mass transit make it a remarkable part any large metropolitan transportation system. Unfortunately is not feasible to provide citywide direct access transit. Other modes are used as feeders collect and deliver passengers By using feeder lines the possibility use increases because travel demand for more extended area can be satisfied. In this research, multiple with various capacities performances in network design based on...

10.1061/(asce)te.1943-5436.0000110 article EN Journal of Transportation Engineering 2009-09-30

10.1016/j.trc.2014.08.017 article EN Transportation Research Part C Emerging Technologies 2014-10-07

To identify the significant factors that influence head-on conflicts resulting from dangerous overtaking maneuvers on 2-lane rural roads in Iran.A traffic conflict technique was applied to 12 two-lane order investigate potential situations for accidents occur and thus geometric affecting conflicts. Traffic data were collected via inductive loop detectors installed these roads, characteristics obtained through field observations. Two groups of then analyzed independently by Pearson's...

10.1080/15389588.2011.621472 article EN Traffic Injury Prevention 2011-12-01

Abstract The spatial nature of crash data highlights the importance employing G eographical I nformation S ystems ( GIS ) in different fields safety research. Recently, numerous studies have been carried out analysis to investigate relationships between crashes and related factors. Trip generation as a function land use, socio‐economic, demographic characteristics might be appropriate variables along with network traffic volume develop models. Generalized Linear Models GLMs describe...

10.1111/tgis.12107 article EN Transactions in GIS 2014-08-21

The bus network design problem refers to a determination of optimizing the routes, usually in urban areas. optimal routes must comply with given passenger demand matrix and attain compromise best solution from user, operator, community. This paper proposes use genetic algorithm as tool handle complexity problem. methodology developed considers mechanism maintain many satisfactory existing possible and, at same time, incorporate experience-based suggestions, such minimizing number transfers...

10.1061/(asce)te.1943-5436.0000741 article EN Journal of Transportation Engineering 2014-10-06

Seasonal demand variation is a somewhat neglected aspect of transit demand. Many cities worldwide experience seasonal passenger that deserves not only changes service frequency, but also and often more importantly, in the network routes. Literature dealing with optimal bus networks shows it an non polynomial (NP)-hard complexity problem being most important variable affecting network. Thus, concern should be robust from optimization perspective when new arises. This paper introduces model...

10.1061/(asce)te.1943-5436.0000669 article EN Journal of Transportation Engineering 2014-03-11

Reducing the number and severity of crashes has been a primary concern safety specialists. Identifying crash patterns is an essential step in management since clustering data helps analysts to prioritize improvements such areas. The spatial essence particularly presence autocorrelation reveals that occurrences are not only inclined cluster same locations but within particular time intervals. This paper aims detect spatial–temporal dependencies using bivariate Moran's I local indicator...

10.1139/cjce-2012-0374 article EN Canadian Journal of Civil Engineering 2013-01-21

To identify the most important driver characteristics influencing crash-causing overtaking maneuvers on 2-lane, 2-way rural roads of Iran.Based crash data for Iran over 3 years from 2006 to 2008, classification and regression tree (CART) method combined with quasi-induced exposure concept was applied 4 independent variables one target variable "driver status" 2 classes at fault not fault. The were vehicle type, driver's age, driving license, experience driver-the latter are relatively new in...

10.1080/15389588.2010.485283 article EN Traffic Injury Prevention 2010-08-22

Abstract Taxi khattee is a fixed route unregulated shared taxi. It very common mode of transportation in Iran. Fixed route, unscheduled operation, open, unlimited pick‐up and drop‐off locations, share ride are features taxi khattees. Low passenger capacity working high demand corridors provides for the possibility service frequencies any time day. khattees similar to jitneys, which obsolete or illegal many countries. The aim this research design transit network an area using addition buses....

10.1002/atr.157 article EN Journal of Advanced Transportation 2011-02-09
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