Challenges in Rear-end Conflict-based Safety Assessment of Highly Disordered Traffic Conditions

Chauhan, Ritvik; Dhamaniya, Ashish; Arkatkar, Shriniwas

doi:10.1177/03611981221108156

Cited by 13 publications

(4 citation statements)

References 30 publications

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“…(3) There can be cases where conflicts are either missed (false negatives) or normal situations are flagged as conflicts (false positives). Time series analysis (1) Clustering methods 37 (2) Permutation entropy of kinematic indicators 38 (3) Vehicle kinematic indicators 39 (1) Ability to predict future traffic conflict points and times using historical data. (2) Identification of daily, weekly, and seasonal variations in traffic patterns.…”

Section: Literature Reviewmentioning

confidence: 99%

Insights into vehicle conflicts based on traffic flow dynamics

Ding,

Abdel-Aty,

Wang

et al. 2024

Sci Rep

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The utilization of traffic conflict indicators is crucial for assessing traffic safety, especially when the crash data is unavailable. To identify traffic conflicts based on traffic flow characteristics across various traffic states, we propose a framework that utilizes unsupervised learning to automatically establish surrogate safety measures (SSM) thresholds. Different traffic states and corresponding transitions are identified with the three-phase traffic theory using high-resolution trajectory data. Meanwhile, the SSMs are mapped to the corresponding traffic states from the perspectives of time, space, and deceleration. Three models, including k-means, GMM, and Mclust, are investigated and compared to optimize the identification of traffic conflicts. It is observed that Mclust outperforms the others based on the evaluation metrics. According to the results, there is a variation in the distribution of traffic conflicts among different traffic states, wide moving jam (phase J) has the highest conflict risk, followed by synchronous flow (phase S), and free flow (phase F). Meanwhile, the thresholds of traffic conflicts cannot be fully represented by the same value through different traffic states. It reveals that the heterogeneity of thresholds is exhibited across traffic state transitions, which justifies the necessity of dynamic thresholds for traffic conflict analysis.

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Section: Literature Reviewmentioning

confidence: 99%

Insights into vehicle conflicts based on traffic flow dynamics

Ding,

Abdel-Aty,

Wang

et al. 2024

Sci Rep

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“…It is about 150 kilometers long and has six lanes that are 60 meters wide. In order to develop proactive crash risk models for sixlane highways, gathered more data due to the significant variation in maximum speed differences [31]. The road has been designed with a right-of-way (ROW) width of 60 meters, which includes various features for the comfort and safety of commuters.…”

Section: Design Features Of the National Highwaymentioning

confidence: 99%

“…Various researchers have conducted a wide range of comprehensive studies in pavement engineering, encompassing topics such as warm mix asphalt, soil stabilization, and pavement subgrade stabilization, while also scrutinizing various factors that impact concrete pavement design and evaluation and implementing various techniques to improve pavement structures' durability and performance [27][28][29][30]. A number of interrelated factors influence road safety [31][32][33][34].…”

Section: Introductionmentioning

confidence: 99%

Safety Analysis of 6-Lane National Highway Using Reactive and Proactive Methods: A Case Study

Khichad,

Vishwakarma,

Gaur

et al. 2024

IOP Conf. Ser.: Earth Environ. Sci.

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Globally, traffic-related deaths were 1.35 million per year or nearly 3,700 per day. However, the severity of accidents Over a decade increased by 31.5%, with 37.3 people dying per 100 accidents in India. 4,12,432 accidents (approximately 422 people die daily) were reported in 2021, with 1,53,972 fatalities on Indian highways. National Highways’ safety performance is vital in developing countries such as India. This research paper focuses on the six-lane Jaipur Ring Road, an approximate 150-kilometer-long national highway surrounding the city of Jaipur, India. It is a crucial infrastructure project aimed at easing traffic congestion in and around Jaipur. Initiated in the early 2000s and completed in 2020, the road connects major highways and national highways, reducing traffic congestion and improving connectivity in and around the city. This paper explores the benefits of the Jaipur Ring Road, including improved travel time for commuters, transportation of goods, reduced accident causes, and economic development. Moreover, the article emphasizes the significance of monitoring road conditions to guarantee a secure, effective, and adaptive transportation system. This involves gathering information on road performance safety conditions and identifying areas that require enhancements. The paper highlights the role of trained professionals and community stakeholders in conducting road observations and ensuring that transportation infrastructure meets the needs of local communities. This case study presents some crucial observations made at specific locations on the Jaipur Ring Road. The study aims to analyze the traffic flow, identify potential bottlenecks, and propose solutions to improve the road’s efficiency and safety.

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“…Further, under mixed traffic conditions, vehicle-to-vehicle interactions are two dimensional. As a result of two-dimensional interactions, a spectrum of traffic conflicts such as rear-end, sideswipe, angled, and head-on exists (79,84). Therefore, a comprehensive framework accounting for the two-dimensional vehicle-to-vehicle interactions for evaluating traffic safety is pivotal and, thus, forms the future scope of the study.…”

Section: Conclusion and Way Forwardmentioning

confidence: 99%

Novel Traffic Conflict-Based Framework for Real-Time Traffic Safety Evaluation Under Heterogeneous and Weak Lane-Discipline Traffic

Patel

Gore

Easa

et al. 2023

Transportation Research Record: Journal of the Transportation R

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The present study proposed a real-time traffic safety evaluation framework using macroscopic flow variables. To this end, open-access extended vehicle trajectories were employed. Rear-end traffic conflicts and macroscopic traffic flow variables were derived from the trajectory data and were integrated for real-time safety evaluation. The Proportion of Stopping distance ( PSD) accounts for all types of interactions (both safe and unsafe) in the traffic stream; therefore, the same was adopted to analyze the rear-end traffic conflicts. A macroscopic indicator termed “time spent in conflict ( TSC)” was derived to evaluate the rear-end traffic conflicts. Machine learning models, namely, Random Forest (RF), Support Vector Machines (SVM), and eXtreme Gradient Boosting (XGB), were employed to predict TSCs using macroscopic traffic flow variables. The results revealed that the TSC computed based on PSD exhibits a reliable and explainable relationship with the macroscopic traffic flow variables. TSC computed based on PSD revealed that intermediately congested traffic flow conditions are critical in traffic safety and can be attributed to complex traffic phenomena such as traffic hysteresis, traffic oscillations, and increased speed variance. Moreover, a stable relation between traffic safety and traffic flow was suggested for varying threshold values. Among different machine learning models, the RF model was observed as the best-fitted model to predict TSC based on macroscopic traffic variables. TSC quantifies the safety status of a given traffic flow condition, where a higher value of TSC for a particular traffic flow condition indicates that vehicles prevail in the conflicting scenario for a longer time and, therefore, reflect higher operational risk. The developed machine learning model can be employed to predict TSC (operational risk) in real time using the macroscopic traffic flow variables and, therefore, facilitate traffic safety monitoring.

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Challenges in Rear-end Conflict-based Safety Assessment of Highly Disordered Traffic Conditions

Cited by 13 publications

References 30 publications

Insights into vehicle conflicts based on traffic flow dynamics

Insights into vehicle conflicts based on traffic flow dynamics

Safety Analysis of 6-Lane National Highway Using Reactive and Proactive Methods: A Case Study

Novel Traffic Conflict-Based Framework for Real-Time Traffic Safety Evaluation Under Heterogeneous and Weak Lane-Discipline Traffic

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