- 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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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....