4.7 Article

Mining truck platooning patterns through massive trajectory data

Related references

Note: Only part of the references are listed.
Article Automation & Control Systems

Optimization of support vector machine through the use of metaheuristic algorithms in forecasting TBM advance rate

Jian Zhou et al.

Summary: This research aims to optimize the hyper-parameters of the support vector machine technique through the use of three optimization algorithms, namely gray wolf optimization, whale optimization algorithm, and moth flame optimization, for predicting the advance rate of a tunnel boring machine in hard rock conditions. The results indicate that the moth flame optimization algorithm can better capture the hyperparameters of the SVM model in predicting TBM AR.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2021)

Article Computer Science, Artificial Intelligence

Prediction of air-overpressure induced by blasting using an ANFIS-PNN model optimized by GA

Hooman Harandizadeh et al.

Summary: This study analyzed the consequences of air-overpressure in blasting operations using the Fuzzy Delphi method. A new hybrid intelligent technique, ANFIS-PNNGA, was developed to optimize the prediction model for AOp, showing more accurate results compared to other methods.

APPLIED SOFT COMPUTING (2021)

Article Computer Science, Artificial Intelligence

Mining distinct and contiguous sequential patterns from large vehicle trajectories

Luke Bermingham et al.

KNOWLEDGE-BASED SYSTEMS (2020)

Article Computer Science, Artificial Intelligence

Discovery of evolving companion from trajectory data streams

Thi Thi Shein et al.

KNOWLEDGE AND INFORMATION SYSTEMS (2020)

Article Materials Science, Characterization & Testing

A GMDH Predictive Model to Predict Rock Material Strength Using Three Non-destructive Tests

Diyuan Li et al.

JOURNAL OF NONDESTRUCTIVE EVALUATION (2020)

Article Engineering, Civil

Fuel-Efficient En Route Speed Planning and Tracking Control of Truck Platoons

Ge Guo et al.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2019)

Article Computer Science, Artificial Intelligence

Mining sequential patterns with itemset constraints

Trang Van et al.

KNOWLEDGE AND INFORMATION SYSTEMS (2018)

Article Computer Science, Interdisciplinary Applications

Modeling the Proactive Driving Behavior of Connected Vehicles: A Cell-Based Simulation Approach

Feng Zhu et al.

COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2018)

Article Engineering, Civil

A Consensus-Based Algorithm for Truck Platooning

Mahnam Saeednia et al.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2017)

Article Transportation Science & Technology

Platoons of connected vehicles can double throughput in urban roads

Jennie Lioris et al.

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2017)

Article Economics

Freight transport platoon coordination and departure time scheduling under travel time uncertainty

Wei Zhang et al.

TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW (2017)

Article Transportation Science & Technology

Potentials for Platooning in U.S. Highway Freight Transport

Matteo Muratori et al.

SAE INTERNATIONAL JOURNAL OF COMMERCIAL VEHICLES (2017)

Article Engineering, Civil

Heavy-Duty Vehicle Platoon Formation for Fuel Efficiency

Kuo-Yun Liang et al.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2016)

Article Computer Science, Artificial Intelligence

Learning traffic signal phase and timing information from low-sampling rate taxi GPS trajectories

Juan Yu et al.

KNOWLEDGE-BASED SYSTEMS (2016)

Article Computer Science, Artificial Intelligence

An approach to compute user similarity for GPS applications

Pramit Mazumdar et al.

KNOWLEDGE-BASED SYSTEMS (2016)

Article Engineering, Civil

A Distributed Framework for Coordinated Heavy-Duty Vehicle Platooning

Jeffrey Larson et al.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2015)

Article Computer Science, Artificial Intelligence

CCSpan: Mining closed contiguous sequential patterns

Jingsong Zhang et al.

KNOWLEDGE-BASED SYSTEMS (2015)

Article Transportation Science & Technology

The vehicle platooning problem: Computational complexity and heuristics

Erik Larsson et al.

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2015)

Review Management

A review of dynamic vehicle routing problems

Victor Pillac et al.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2013)

Article Computer Science, Artificial Intelligence

Mining frequent trajectory pattern based on vague space partition

Liang Wang et al.

KNOWLEDGE-BASED SYSTEMS (2013)

Article Economics

The time-dependent pollution-routing problem

Anna Franceschetti et al.

TRANSPORTATION RESEARCH PART B-METHODOLOGICAL (2013)

Article Engineering, Civil

Cooperative Driving With a Heavy-Duty Truck in Mixed Traffic: Experimental Results

Maarten R. I. Nieuwenhuijze et al.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2012)

Article Computer Science, Artificial Intelligence

Segmentation and Sampling of Moving Object Trajectories Based on Representativeness

Costas Panagiotakis et al.

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2012)

Article Computer Science, Information Systems

Efficient Mining of Gap-Constrained Subsequences and Its Various Applications

Chun Li et al.

ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA (2012)

Article Computer Science, Artificial Intelligence

Clustering uncertain trajectories

Nikos Pelekis et al.

KNOWLEDGE AND INFORMATION SYSTEMS (2011)

Article Computer Science, Information Systems

Reporting leaders and followers among trajectories of moving point objects

Mattias Andersson et al.

GEOINFORMATICA (2008)

Article Engineering, Civil

The impact of cooperative adaptive cruise control on traffic-flow characteristics

Bart van Arem et al.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2006)

Article Computer Science, Artificial Intelligence

Mining sequential patterns by pattern-growth: The PrefixSpan approach

J Pei et al.

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2004)