[HTML][HTML] Trajectory data-based traffic flow studies: A revisit

L Li, R Jiang, Z He, XM Chen, X Zhou - Transportation Research Part C …, 2020 - Elsevier
In this paper, we review trajectory data-based traffic flow studies that have been conducted
over the last 15 years. Our purpose is to provide a roadmap for readers who have an interest …

Review of IoT sensor systems used for monitoring the road infrastructure

K Micko, P Papcun, I Zolotova - Sensors, 2023 - mdpi.com
An intelligent transportation system is one of the fundamental goals of the smart city concept.
The Internet of Things (IoT) concept is a basic instrument to digitalize and automatize the …

Prioritization of unmanned aerial vehicles in transportation systems using the integrated stratified fuzzy rough decision-making approach with the hamacher operator

D Pamucar, I Gokasar, AE Torkayesh, M Deveci… - Information …, 2023 - Elsevier
Abstract The Integration of Unmanned Aerial Vehicles (UAVs) into transportation systems
has numerous benefits, ranging from the ability to record real-time data to having high …

Processing, assessing, and enhancing the Waymo autonomous vehicle open dataset for driving behavior research

X Hu, Z Zheng, D Chen, X Zhang, J Sun - Transportation Research Part C …, 2022 - Elsevier
Abstract Recently released Autonomous Vehicle (AV) trajectory datasets can potentially
catalyze research progress on AV-oriented traffic flow analysis. This paper aims to …

Addressing endogeneity in modeling speed enforcement, crash risk and crash severity simultaneously

S Yasmin, N Eluru, MM Haque - Analytic methods in accident research, 2022 - Elsevier
Speeding is one of the major significant causes of high crash risk and the associated injury
severity outcomes. To combat such significant safety concerns, a speed limit enforcement …

Analysing and modelling of discretionary lane change duration considering driver heterogeneity

G Li, Z Yang, Y Pan, J Ma - Transportmetrica B: Transport …, 2023 - Taylor & Francis
This paper aims to investigate the characteristics of discretionary lane change (LC) duration
on freeways based on an enriched dataset that contains the LC vehicle trajectories of 2905 …

Identifying intercity freight trip ends of heavy trucks from GPS data

Y Yang, B Jia, XY Yan, J Li, Z Yang, Z Gao - Transportation Research Part …, 2022 - Elsevier
The intercity freight trips of heavy trucks are basic data for transportation system planning
and management. In recent decades, extracting intercity freight trips from GPS data has …

Benefits of travel time savings by truck platooning in Korean freeway networks

Y Jo, J Kim, C Oh, I Kim, G Lee - Transport Policy, 2019 - Elsevier
Truck platooning is a promising strategy to not only reduce the workload of truck drivers but
also to increase the efficiency of freight transportation. In addition, truck platooning is …

Spatiotemporal learning of multivehicle interaction patterns in lane-change scenarios

C Zhang, J Zhu, W Wang, J Xi - IEEE Transactions on Intelligent …, 2021 - ieeexplore.ieee.org
Interpretation of common-yet-challenging inter-action scenarios can benefit well-founded
decisions for autonomous vehicles. Previous research achieved this using their prior …

Modeling cars and trucks in the heterogeneous traffic based on car–truck combination effect using cellular automata

D Kong, L Sun, J Li, Y Xu - Physica A: Statistical Mechanics and its …, 2021 - Elsevier
An improved cellular automata model based on car–truck combination effect oriented to
faithfully reproducing the characteristics of heterogeneous traffic flow is presented in this …