Journal of Transportation Engineering, Part A: Systems http://yetl.yabesh.ir/yetl1/handle/yetl/19009 2026-08-24T04:55:36Z 2026-08-24T04:55:36Z Connected Vehicle Trajectory–Based Estimation of Cycle-by-Cycle Traffic Volume: A Deep Learning–Based Approach Considering Slowed Vehicles and Spatiotemporal Shockwave Dissipation Algomaiah, Majeed Xu, Yifan Li, Zhixia Wei, Heng Wang, Song Gao, Lu Liu, Kaixin http://yetl.yabesh.ir/yetl1/handle/yetl/4313748 2026-08-20T20:58:14Z 2026-01-01T00:00:00Z Connected Vehicle Trajectory–Based Estimation of Cycle-by-Cycle Traffic Volume: A Deep Learning–Based Approach Considering Slowed Vehicles and Spatiotemporal Shockwave Dissipation Algomaiah, Majeed; Xu, Yifan; Li, Zhixia; Wei, Heng; Wang, Song; Gao, Lu; Liu, Kaixin AbstractMany existing approaches for estimating cycle-by-cycle traffic volume from vehicle trajectories require either a high market penetration rate of sampled trajectories or auxiliary intersection data (e.g., detector counts or calibrated parameters), ...Practical ApplicationsTraffic signal optimization and congestion management rely heavily on accurate, real-time traffic-volume data. Traditionally, transportation agencies collect these data using fixed sensors (e.g., inductive loops), which can be costly ... 2026-01-01T00:00:00Z VARNet: A Transformer-Based Model for Vehicle Trajectory Prediction with Variable-Length Input Sequences An, Bocheng Cui, Chuang Gan, Rui Qu, Xu Ran, Bin http://yetl.yabesh.ir/yetl1/handle/yetl/4313747 2026-08-20T20:58:11Z 2026-01-01T00:00:00Z VARNet: A Transformer-Based Model for Vehicle Trajectory Prediction with Variable-Length Input Sequences An, Bocheng; Cui, Chuang; Gan, Rui; Qu, Xu; Ran, Bin AbstractPredicting the trajectories of surrounding vehicles is crucial for autonomous driving systems. In recent years, mainstream methods have used fixed-length input sequences, relying on historical trajectories of a fixed duration to predict future ... 2026-01-01T00:00:00Z Investigation of the Improved B07-Type Prestressed Concrete Sleeper with Emphasis on Sustainability and Cost Efficiency Toprak, Mehmet Ali Girgin, Konuralp Yüksel, Ercan http://yetl.yabesh.ir/yetl1/handle/yetl/4313746 2026-08-20T20:58:09Z 2026-01-01T00:00:00Z Investigation of the Improved B07-Type Prestressed Concrete Sleeper with Emphasis on Sustainability and Cost Efficiency Toprak, Mehmet Ali; Girgin, Konuralp; Yüksel, Ercan AbstractPrestressed concrete sleepers are critical components of railway superstructures, designed to transfer wheel loads safely to the ballast layer. The strength of sleepers generally exceeds the minimum requirements defined by international standards. ... 2026-01-01T00:00:00Z Leveraging AI Techniques to Facilitate User-Friendly Transportation Data Retrieval for Speed and Volume Data Leu, Pei-Yu Haroon, Saquib M. Khadka, Sunil Ryan, Alyssa Zhang, Liang http://yetl.yabesh.ir/yetl1/handle/yetl/4313745 2026-08-20T20:58:05Z 2026-01-01T00:00:00Z Leveraging AI Techniques to Facilitate User-Friendly Transportation Data Retrieval for Speed and Volume Data Leu, Pei-Yu; Haroon, Saquib M.; Khadka, Sunil; Ryan, Alyssa; Zhang, Liang AbstractTransportation professionals increasingly rely on large data sets to understand travel behavior and improve system performance. However, many agencies face challenges accessing and using these data due to limited programming experience and complex ...Practical ApplicationsTransportation agencies and practitioners are increasingly working with large and diverse data sets, such as expansive vehicle speed, volume, and pedestrian activity data sets. However, many agencies, particularly at the local level, ... 2026-01-01T00:00:00Z