IATSS ResearchPub Date : 2025-07-01Epub Date: 2025-06-02DOI: 10.1016/j.iatssr.2025.04.002
Hajime Sakakibara , Takashi Oguchi
{"title":"Fundamental theory of coordination efficiency of signalized intersections on an arterial road","authors":"Hajime Sakakibara , Takashi Oguchi","doi":"10.1016/j.iatssr.2025.04.002","DOIUrl":"10.1016/j.iatssr.2025.04.002","url":null,"abstract":"<div><div>In this study, we employed the general formula of the delay per vehicle for the case of one link at two intersections as a function of the link length and offset of traffic signals at two adjacent intersections with the general value of green splits under arbitral demand condition without oversaturation. The highest and lowest coordination efficiencies are defined for different link lengths. The nature of the link lengths and offsets that provide minimum delay per vehicle were analyzed and demonstrated. Additionally, two types of extensions to this study were conducted by determining the effects of an additional intersection located in the middle of the target link and for the installation at two adjacent intersections outside the target link.</div></div>","PeriodicalId":47059,"journal":{"name":"IATSS Research","volume":"49 2","pages":"Pages 231-246"},"PeriodicalIF":3.2,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144189912","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Determinants of crash injury severity for delivery riders: Insights from an error components mixed logit model with heterogeneous means and variances","authors":"Thanapong Champahom , Chamroeun Se , Wimon Laphrom , Sajjakaj Jomnonkwao , Rattanaporn Kasemsri , Vatanavongs Ratanavaraha","doi":"10.1016/j.iatssr.2025.04.001","DOIUrl":"10.1016/j.iatssr.2025.04.001","url":null,"abstract":"<div><div>The rapid growth of e-commerce and food delivery services has led to an increase in commercial motorcycle riders, raising concerns about their safety on the road. This study aims to identify and analyze the determinants of crash injury severity for delivery riders in Thailand. Questionairs data was collected from 2000 commercial motorcycle users across five regions of Thailand, incorporating a wide range of demographic, work-related, and environmental factors. The study employs a Heteroscedastic Error Components Mixed Logit with Heterogeneity in Means (HECMLHM) model to capture unobserved heterogeneity and complex interactions between variables. Key findings reveal that rider age, experience, education level, income, work frequency, and rest periods significantly influence crash injury severity, often with varying effects across the population. Counterintuitively, more experienced riders faced a higher risk of severe injuries. Based on these findings, policy recommendations include targeted safety education programs, experience-based training to mitigate overconfidence, work schedule management, and optimized rest period policies. This study contributes to the field by focusing exclusively on delivery riders, employing advanced modeling techniques, and providing a comprehensive analysis of factors influencing crash severity in an emerging market context. The findings offer valuable insights for developing targeted safety interventions and policies to reduce crash injury severity among this growing workforce.</div></div>","PeriodicalId":47059,"journal":{"name":"IATSS Research","volume":"49 2","pages":"Pages 180-190"},"PeriodicalIF":3.2,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143838850","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Pedestrian gap acceptance behavior at unsignalized mid-block crossing under mixed traffic conditions","authors":"Satanan Piyalungka , Kunnawee Kanitpong , Ampol Karoonsoontawong","doi":"10.1016/j.iatssr.2025.03.001","DOIUrl":"10.1016/j.iatssr.2025.03.001","url":null,"abstract":"<div><div>In Thailand, 68 % of pedestrian crashes on national highways in 2021 occurred when they were crossing the road. Pedestrians may encounter difficulties when deciding on the minimum safe gap to cross the road under diverse conditions, especially when the approaching vehicle sizes are different. Pedestrian safety is a crucial concern. This study analyzed the critical gap and dilemma zone for pedestrians crossing unsignalized mid-block crosswalks in Bangkok, Thailand, utilizing Raff's and logit methods. Multiple linear regression and binary logit regression models were developed to identify the factors affecting accepted gap size and gap acceptance behavior. Findings indicated that critical gaps and dilemma zones differed between two-lane and four-lane road sections, while the type of approaching vehicle had the strongest effect on accepted gap size. Pedestrians tended to accept smaller gaps when the approaching vehicle was a motorcycle. Several factors including yielding behavior, waiting time, age, crossing speed of pedestrians, and vehicle speed significantly influenced gap acceptance.</div></div>","PeriodicalId":47059,"journal":{"name":"IATSS Research","volume":"49 2","pages":"Pages 105-113"},"PeriodicalIF":3.2,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143686354","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
IATSS ResearchPub Date : 2025-07-01Epub Date: 2025-05-17DOI: 10.1016/j.iatssr.2025.04.004
N. Mohamed Hasain , Mokaddes Ali Ahmed
{"title":"Traffic safety evaluation using surrogate safety measures in the context of Indian mixed traffic: A critical review","authors":"N. Mohamed Hasain , Mokaddes Ali Ahmed","doi":"10.1016/j.iatssr.2025.04.004","DOIUrl":"10.1016/j.iatssr.2025.04.004","url":null,"abstract":"<div><div>The concern over road safety has increased in the last several decades, especially in developing countries like India. Even with increasing road accidents, crash data at a particular location is mostly underreported. Hence, using the Traffic Conflict Technique (TCT) with Surrogate Safety Measures (SSMs) to evaluate traffic safety instead of accident data has gained significant attention among researchers in India. However, the traffic existing in the country is more complex and diverse than most of the developed nations around the world. This led the researchers to modify the existing methods and propose new methods to address the heterogeneity of the existing mixed traffic. The current study formulated six research questions to guide the review process. Since the number of studies in the area of research is increasing rapidly, there is a need to study the current state of the art in the country. Hence, the paper critically reviewed thirty-three studies conducted in the area of research in Indian conditions, including their findings and limitations. Further, an overview of sixteen commonly used SSMs worldwide was presented, along with some potential research gaps and recommendations.</div></div>","PeriodicalId":47059,"journal":{"name":"IATSS Research","volume":"49 2","pages":"Pages 201-219"},"PeriodicalIF":3.2,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144070761","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
IATSS ResearchPub Date : 2025-04-01Epub Date: 2025-02-12DOI: 10.1016/j.iatssr.2025.01.003
Qiankun Jiang , Haiyan Wang
{"title":"Risk assessment and hybrid algorithm transportation path optimization model for road transport of dangerous goods","authors":"Qiankun Jiang , Haiyan Wang","doi":"10.1016/j.iatssr.2025.01.003","DOIUrl":"10.1016/j.iatssr.2025.01.003","url":null,"abstract":"<div><div>The current risk assessment methods for dangerous goods roads have the problem of being unable to cope with complex road conditions and the influence of multiple factors. This study extends 9 tertiary indicators from three secondary indicators: personnel factors, vehicle factors, and road factors, to evaluate the transportation risk of dangerous goods. After calculating the weights of each indicator, this study improves the parameters of the particle swarm algorithm using the aggregation and foraging behavior of artificial fish, and uses the improved algorithm to solve the optimal solution for the cost of dangerous goods road transportation. After experimental verification, the improved hybrid algorithm has optimized the path transportation time by 13.9 % compared to a single algorithm model. The total risk of simultaneously improving the algorithm was 0.8863, and the total transportation distance was 861 km, both lower than other algorithms. The comprehensive analysis shows that the established model is reasonable, and the designed improved hybrid algorithm can improve the efficiency of the transportation industry, while also contributing to the improvement of the current cost status of dangerous goods road transportation.</div></div>","PeriodicalId":47059,"journal":{"name":"IATSS Research","volume":"49 1","pages":"Pages 72-80"},"PeriodicalIF":3.2,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143387620","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Critical conflict probability: A novel risk measure for quantifying intensity of crash risk at unsignalized intersections","authors":"Aninda Bijoy Paul Ph.D. , Ninad Gore Ph.D. , Shriniwas Arkatkar Ph.D. , Gaurang Joshi Ph.D. , Md Mazharul Haque Ph.D.","doi":"10.1016/j.iatssr.2025.01.001","DOIUrl":"10.1016/j.iatssr.2025.01.001","url":null,"abstract":"<div><div>A significant number of traffic crashes are reported at unsignalized intersections. However, in developing countries, challenges such as underreporting and limited crash data hinder the direct correlation of traffic conflicts with reported crashes for effective safety analysis. To address this, the study introduces Critical Conflict Probability (CCP) as a novel metric to quantify the intensity of conflict risk at unsignalized intersections. Higher CCP values indicate a greater likelihood of crash risk. CCP is derived from Post-Encroachment Time (PET) using the Generalized Extreme Value (GEV)-based extreme value theory (EVT) modeling framework. The CCP values are modeled as a function of traffic flow and driving behavior variables using three approaches: fixed parameters, random intercept, and grouped random parameters Beta regression models. The results revealed grouped random parameters Beta regression model as the best fit, highlighting the importance of accounting for spatial unobserved heterogeneity. As a practical outcome, the study develops a CCP-based intersection prioritization framework to rank and identify critical intersections within a traffic network, enabling traffic planners to improve safety management in data-scarce environments.</div></div>","PeriodicalId":47059,"journal":{"name":"IATSS Research","volume":"49 1","pages":"Pages 49-59"},"PeriodicalIF":3.2,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143163965","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
IATSS ResearchPub Date : 2025-04-01Epub Date: 2025-02-16DOI: 10.1016/j.iatssr.2025.02.002
Harshana Senanayake, Kunnawee Kanitpong
{"title":"Assessment of a two-way motorcycle lane to reduce traffic conflicts and their severity: A case study of Phaholyothin road, Thailand","authors":"Harshana Senanayake, Kunnawee Kanitpong","doi":"10.1016/j.iatssr.2025.02.002","DOIUrl":"10.1016/j.iatssr.2025.02.002","url":null,"abstract":"<div><div>In Thailand, traffic rule violations and crashes involving motorcycles have increased with the rising number of new motorcycle registrations. A common issue in Thai traffic is motorcyclists riding in the wrong direction. This research proposes a two-way motorcycle lane design to address the wrong-way riding behavior of motorcyclists in Thailand. The design aims to segregate motorcycles from larger vehicles, improving safety. Traffic simulation software was used to model a selected road section in Thailand, incorporating the wrong-way riding behavior. After calibration, the proposed two-way motorcycle lane design was simulated within the same network. Traffic conflicts in each network were analyzed using the Surrogate Safety Assessment Model (SSAM). The safety of the proposed design was compared to the existing conditions and found to result in fewer severe conflicts, especially when priority is given to motorcycles at access points. The study also identified the most suitable width for the two-way motorcycle lane based on the safety assessment. For the motorcycle lane priority option, a 3-m lane width was found to be the safest, while for the option with priority given to vehicles on access roads, a 3.5-m lane width was identified as the safest design.</div></div>","PeriodicalId":47059,"journal":{"name":"IATSS Research","volume":"49 1","pages":"Pages 93-103"},"PeriodicalIF":3.2,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143420355","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Analysis of land-use and POIs contributing to traffic accidents around intersections","authors":"Satoshi Nakao , Koshi Sawada , Andreas Keler , Jan-Dirk Schmöcker","doi":"10.1016/j.iatssr.2024.12.004","DOIUrl":"10.1016/j.iatssr.2024.12.004","url":null,"abstract":"<div><div>In Japan more than half of all traffic accidents occur at or near intersections and many at small intersections where only minor roads cross. A database of all intersections in the built-up area of Kyoto, Japan was created using Open Street Map data, including spatial characteristics such as the presence and types of surrounding facilities. This data was used as explanatory variables to analyze the relation to traffic accidents reported over a period of three years. Presence of traffic signals, pedestrian infrastructure and traffic flow was used as control variable. The results of the analysis suggest that traffic accidents are less likely to occur at intersections where parks are nearby. More accidents occur at medium and small intersections where facilities such as restaurants, supermarkets and convenience stores are nearby. We discuss that the results suggest that visibility but also attention when “briefly hopping into a store” as well as general business of junctions are determinants of accident risks. These results highlight that to reduce the occurrence of traffic accidents at intersections a broader understanding of who passes the junction at what times and the wider land-use characteristics of the vicinity is important.</div></div>","PeriodicalId":47059,"journal":{"name":"IATSS Research","volume":"49 1","pages":"Pages 42-48"},"PeriodicalIF":3.2,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143164790","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
IATSS ResearchPub Date : 2025-04-01Epub Date: 2024-12-26DOI: 10.1016/j.iatssr.2024.12.001
Parveen Kumar , Geetam Tiwari , Sourabh Bikas Paul
{"title":"Road safety studies at micro, meso, and macroscopic levels: A systematic review","authors":"Parveen Kumar , Geetam Tiwari , Sourabh Bikas Paul","doi":"10.1016/j.iatssr.2024.12.001","DOIUrl":"10.1016/j.iatssr.2024.12.001","url":null,"abstract":"<div><div>Traditionally, road safety studies have been conducted independently, either at microscopic or macroscopic levels. This study synthesizes existing literature on road safety research conducted at microscopic, macroscopic, and mesoscopic levels using a Systematic Literature Review (SLR). The objective of this research is to examine the advancement in crash prediction methodologies, crash analysis, and the integration of microscopic, macroscopic, and mesoscopic studies over the past two decades to understand the multiscale dynamics of crash occurrence. In addition, bibliometric analysis helps to map social, conceptual, and intellectual collaborations among sources, authors, and institutions. The comprehensive review of the existing literature shows that some analytical advancements in statistical approaches, as well as Machine Learning (ML) and Deep Learning (DL) approaches, have facilitated them to address data complexity issues. In the latter decade, researchers have started to integrate microscopic and macroscopic approaches to have a nuanced and cohesive understanding of the intrinsic relationships among crash contributing factors and to assess the impact of an integrated approach on the model's predictive performance. The bibliometric analysis of published literature revealed distinct clusters, each providing a unique perspective on road safety. The major gaps observed in the systematic review of studies are the lack of consideration of behavioural aspects of road users, the transferability of models between two independent frameworks, as well as across the integrated modelling methodologies. Another significant gap is the lack of a scale of adjacent street networks in mesoscopic studies. Overall, this review provided critical insights into safety studies that focus on distinct resolutions, analytical advancements in modelling methodologies, mapping of scientific collaborations and identifications of research gaps.</div></div>","PeriodicalId":47059,"journal":{"name":"IATSS Research","volume":"49 1","pages":"Pages 10-26"},"PeriodicalIF":3.2,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143164788","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
IATSS ResearchPub Date : 2025-04-01Epub Date: 2024-12-20DOI: 10.1016/j.iatssr.2024.12.002
Qinaat Hussain, Wael K.M. Alhajyaseen
{"title":"Nudging drivers: The influence of innovative green-phase forewarning systems on drivers' start-up behavior at signalized intersections","authors":"Qinaat Hussain, Wael K.M. Alhajyaseen","doi":"10.1016/j.iatssr.2024.12.002","DOIUrl":"10.1016/j.iatssr.2024.12.002","url":null,"abstract":"<div><div>Traffic congestion, especially at signalized intersections along urban arterials, poses a global challenge affecting travel efficiency, mental health, and air quality. This study investigates the effectiveness of innovative forewarning systems in reducing start-up lost time at signalized intersections. In this regard, four different forewarning systems were tested and compared with the untreated control condition in a driving simulator experiment inviting 61 participants with a valid driving license. All the tested conditions were tested for two different waiting times, i.e., 20 s and 60 s to evaluate their impact on reaction times, start-up lost time, and early start-up behaviors. The results of the study demonstrated that among the tested conditions, the clock-based VMS with a 2 s (VMS_2s) warning proved to be the most effective in significantly reducing start-up delays by 21.2 %. In addition, VMS_2s and R_yellow; the condition where the yellow signal was displayed simultaneously with the red signal during the last two seconds, effectively reduced drivers' reaction times at the onset of green signal by 53.5 % and 62.4 %, respectively. Moreover, the results did not reveal any instance of risky early start-up behaviors, such as red light running violations. Based on the study findings, the VMS_2s and R_yellow conditions are suggested for further evaluation and potential real-world implementation to improve drivers' start-up behavior at signalized intersections.</div></div>","PeriodicalId":47059,"journal":{"name":"IATSS Research","volume":"49 1","pages":"Pages 1-9"},"PeriodicalIF":3.2,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143164787","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}