[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 …

[HTML][HTML] Traffic state estimation of urban road networks by multi-source data fusion: Review and new insights

J Xing, W Wu, Q Cheng, R Liu - Physica A: Statistical Mechanics and its …, 2022 - Elsevier
Accurate traffic state (ie, flow, speed, density, etc.) on an urban road network is important
information for urban traffic control and management strategies. However, due to the …

[HTML][HTML] OpenACC. An open database of car-following experiments to study the properties of commercial ACC systems

M Makridis, K Mattas, A Anesiadou, B Ciuffo - Transportation research part …, 2021 - Elsevier
Abstract Adaptive Cruise Control (ACC) systems are becoming increasingly available as a
standard equipment in modern commercial vehicles. Their penetration rate in the fleet is …

Can dynamic ride-sharing reduce traffic congestion?

N Alisoltani, L Leclercq, M Zargayouna - Transportation research part B …, 2021 - Elsevier
Can dynamic ride-sharing reduce traffic congestion? In this paper we show that the answer
is yes if the trip density is high, which is usually the case in large-scale networks but not in …

A reservation and allocation model for shared-parking addressing the uncertainty in drivers' arrival/departure time

S Wang, Z Li, N Xie - Transportation research part C: emerging …, 2022 - Elsevier
Various solutions have been proposed to alleviate the shortage of parking places, including
parking reservation systems and shared-parking systems. In such systems, drivers submit …

Spatiotemporal trajectory characteristic analysis for traffic state transition prediction near expressway merge bottleneck

Q Wan, G Peng, Z Li, FHT Inomata - Transportation Research Part C …, 2020 - Elsevier
The theoretical analysis of traffic flow with empirical vehicle trajectory data contained within
this study allows for the explanation, reconstruction, and prediction of spatiotemporal …

How do travel characteristics of ridesplitting affect its benefits in emission reduction? evidence from Chengdu

Z Zhang, K Gao, HD He, JM Yang, R Jia… - … Research Part D …, 2023 - Elsevier
Ridesplitting, a shared mobility service, has the potential to reduce traffic-related air
pollution. This study evaluates the impacts of ridesplitting on reducing different types of …

CD-DB: A data storage model for cooperative driving

H Yu, C Chang, S Li, L Li - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
Cooperative driving plans and controls Connected and Automated Vehicles (CAVs) to move
smoothly in conflicting areas, so that the traffic safety and efficiency could be significantly …

Mining actionable patterns of road mobility from heterogeneous traffic data using biclustering

F Neves, AC Finamore, SC Madeira… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The comprehensive access to road traffic patterns in the continuously growing urban areas
is key to achieve a sustainable mobility. However, the inherent complexity of urban traffic …

Space-time clustering-based method to optimize shareability in real-time ride-sharing

N Alisoltani, M Ameli, M Zargayouna, L Leclercq - Plos one, 2022 - journals.plos.org
Real-time ride-sharing has become popular in recent years. However, the underlying
optimization problem for this service is highly complex. One of the most critical challenges …