جناب آقای دکتر صفارزاده،
استاد و همکار ارجمند،

مصیبت از دادن پدر خانم گرامی، جناب آقای دکتر سعیدی، را از صمیم قلب تسلیت عرض میکنم. طلب آمرزش برای آن مرحوم و صبر برای بازماندگان دارم.
روحشان شاد!
ارادتمند
ممدوحی

Photo from Amir Reza Mamdoohi

I am pleased to announce that our paper entitled “Influence of Time Display Tools on Queue Discharge Characteristics and Efficiency of Signalized Intersections” published online. The present study examines how different types of time-display tools, such as countdown, hourglass, and tally timers, influence driver behaviour and intersection efficiency. Using field data collected from Iranian drivers at six intersections, as well as regression models including quantile regression and least squares, the study analyses the effects of these timers on vehicle flow and headways. This research provides insights for traffic authorities and urban planners to select appropriate time-display tools to enhance intersection performance.
All the best,
Abdoul-Ahad Choupani
https://ieeexplore.ieee.org/abstract/document/11124392

Dear friends,
I am excited to share our recent study entitled “Examining Drivers’ Red- and Yellow-Light Running Behaviors: An Extended Theory of Planned Behavior Approach.” In this research, we explored why drivers tend to run red and yellow lights, considering psychological and social factors, as well as the influence of various traffic light timers. By applying and extending the Theory of Planned Behavior, this study provides insights into drivers’ intentions and the factors that shape their decision-making at intersections. We believe these findings can be valuable for traffic authorities and urban planners aiming to develop effective strategies for improving compliance with traffic signals and enhancing road safety. If you are interested in this topic, I warmly invite you to read the full paper. This paper can be accessed via the following link.
https://doi.org/10.1016/j.trf.2025.05.026

Dear friends,
I am pleased to announce that our paper entitled “Probability Modelling of Pedestrian Collision at Signalised Intersections” has been published. This study reviews and compares three pedestrian safety evaluation methods, namely the “accident analysis technique,” “traffic interference technique,” and “traffic condition evaluation.” In addition, pedestrian and driver behaviour at signalised intersections were analysed through real-condition simulations, taking into account influential factors such as time of day and pedestrian-driver visibility. The findings of this research can support designers and traffic managers in better understanding traffic behaviour and improving pedestrian safety at urban intersections. This paper can be accessed via the following link.
https://doi.org/10.1680/jmuen.24.00040

We are delighted to let you know that our recent study entitled “Assessing Utility Theory and Logistic Regression Models to Predict Drivers’ Stop/Go Behavior Considering Random Taste Variations” is now available online. This research investigates drivers’ decisions at yellow lights, including stopping, yellow-light running (YLR), and red-light running (RLR), and compares the predictive capabilities of logistic regression and utility theory models while considering behavioral heterogeneity. The study provides insights that can guide practitioners in selecting appropriate modeling approaches for traffic safety and driver-assistive systems.

https://doi.org/10.1007/s41060-025-00803-1

Dear friends,
I am pleased to announce that our paper entitled “Assessing the Traffic Management of Three Cost-Effective Roundabout Designs: Flower, Hamburger, and Flower-Hamburger” has been published. This study aimed to analyze and compare the capacity and delay of flower, hamburger, and a unique hybrid flower-hamburger design that integrates the features of both. Using the widely calibrated and validated AIMSUN microsimulation software, the performance of these designs was evaluated under diverse traffic and geometric conditions. The findings of this research can assist designers and traffic managers in selecting the appropriate design based on spatial and operational requirements, playing an important role in improving capacity, reducing delays, and enhancing the sustainability of urban transportation systems. This paper can be accessed via the following link.
https://doi.org/10.1007/s40999-024-01069-7

Dear colleagues,

We are pleased to announce that our recent article entitled “Drivers’ Perception and Awareness of Delay at Traffic Signals with Countdown Timers” is now available online. This study investigates how drivers perceive and report stop times at signalised intersections, and assesses their sensitivity to variations in delay. It also examines the influence of different signal displays – conventional signal devices (CSD), hourglass displays (HD), and continuous countdown timers (CCT) – on drivers’ time perception. Data were collected through roadside interviews and field measurements at three intersections in Iran. The research provides practical insights for improving signal display design and enhancing traffic management by better aligning perceived and actual stop times.
https://doi.org/10.1680/jmuen.25.00001

We are thrilled to inform you that our paper entitled “The short-term prediction of daily traffic volume for rural roads using shallow and deep learning networks: ANN and LSTM” has been published in the Journal of Supercomputing. Predicting daily traffic volume in the short term is of great importance for rural roads since it assists in relieving congestion, trip planning, and improving the level of service (LOS). Benchmark parametric methods like seasonal autoregressive integrated moving average (SARIMA) is not sophisticated enough to properly employ big data. Shallow learning techniques like the artificial neural network (ANN) cannot capture short-term and long-term time dependencies of daily traffic volume. Therefore, long short-term memory (LSTM) has been suggested to estimate the daily traffic volume of rural roads. The daily traffic volume for three types of roads, i.e., high-volume roads, international roads for transit of goods, and recreational roads leading to the city of Mashhad, Iran, was estimated using LSTM. Interested readers can read the preprint of the paper via https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4168660 or access it via https://link.springer.com/article/10.1007/s11227-023-05333-w.

Dear Friedns
It is my pleasure to inform you that our paper entitled "Detecting crash hotspots using grid and density-based spatial clustering" was published in Proceedings of the Institution of Civil Engineers -Transport. Our paper employs a grid and density-based clustering algorithm called GriDBSCAN to analyse crash data and find their spatial patterns. Other clustering methods such as Nearest Neighbour Hierarchical (NNH) and Kernel Density Estimation (KDE) were also applied to validate the results of the GriDBSCAN algorithm. Crash points recorded for Gebze and Izmit (Turkey) were clustered through these methods. This paper can be accessed via the following link. Please feel free to contact me if you have any question.
https://www.icevirtuallibrary.com/doi/10.1680/jtran.20.00028

Dear friends
It is my pleasure to inform you that my paper entitled "Assessing Drivers’ Compliance with Restrictive Yellow Traffic Lights in a Developing Country" was published in Transportation Research Record (TRR). Driving rules adopt permissive or restrictive policies concerning yellow light running (YLR). In a restrictive policy, vehicles behind the stop line are not allowed to enter the intersection on yellow no matter how close they are to the stop line. This paper examines whether drivers are only non-compliant with red lights or whether non-conformity to any prohibitive yellow/red signal emerges as a wider behavioural issue. This article can be accessed through
https://journals.sagepub.com/eprint/MH3ZMMKWAQIANDXS6XEW/full
Plese note that the link provided here for downloadin the paper is intended for teaching purposes.

A. A. Rassafi, S. S. Ganji, H. Zaferanchi

Dear colleagues,
We are pleased to share that our recent paper entitled
“Evaluating the quality of metro services in terms of passenger satisfaction: a case study of Tehran” has been published in Transport Policy.
This study applies Q methodology to explore diverse passenger perspectives on metro service quality and policy priorities. By identifying seven distinct discourses, the research highlights how different user groups prioritise operational efficiency, accessibility, intermodal integration, and service improvements. The findings provide evidence-based insights for aligning metro policy and operational strategies with heterogeneous user expectations.
The paper is available at:
⬇️ Link

We would be grateful if you find it relevant to your research and practice.