Driving performance grading and analytics: learning internal indicators and external factors from multi-source data

Machine Learning Techniques to Identify Unsafe Driving Behavior by Means of In-Vehicle Sensor Data

(2021) Emanuele Lattanzi et al.   EXPERT SYSTEMS WITH APPLICATIONS

Toward Safe and Smart Mobility: Energy-Aware Deep Learning for Driving Behavior Analysis and Prediction of Connected Vehicles

(2021) Yang Xing et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Financing capital-constrained third party logistic firms: fourth party logistic driven financing mode vs. private lending driven financing mode

(2021) Yi Zhang et al.   INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH

Energy oriented driving behavior analysis and personalized prediction of vehicle states with joint time series modeling

(2020) Yang Xing et al.   APPLIED ENERGY

Iot based laundry services: an application of big data analytics, intelligent logistics management, and machine learning techniques

(2020) Chang Liu et al.   INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH

A novel method for green delivery mode considering shared vehicles in the IoT environment

(2020) Ming K. Lim et al.   INDUSTRIAL MANAGEMENT & DATA SYSTEMS

Impact of automated driving systems on road freight transport and electrified propulsion of heavy vehicles

(2020) Toheed Ghandriz et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Selecting Green Third Party Logistics Providers for a Loss-averse Fourth Party Logistics Provider in a Multiattribute Reverse Auction

(2020) Xiaohu Qian et al.   INFORMATION SCIENCES

Integration quality, value co-creation and resilience in logistics service supply chains: moderating role of digital technology

(2020) Yingjie Ju et al.   INDUSTRIAL MANAGEMENT & DATA SYSTEMS

A TSK-Type Convolutional Recurrent Fuzzy Network for Predicting Driving Fatigue

(2020) Guanglong Du et al.   IEEE TRANSACTIONS ON FUZZY SYSTEMS

Real-Time Feedback Impacts on Eco-Driving Behavior and Influential Variables in Fuel Consumption in a Lisbon Urban Bus Operator

(2017) Catarina Rolim et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Barriers to third-party logistics integration: empirical evidence from China

(2017) Baofeng Huo et al.   INDUSTRIAL MANAGEMENT & DATA SYSTEMS

How Research in Production and Operations Management May Evolve in the Era of Big Data

(2017) Qi Feng et al.   PRODUCTION AND OPERATIONS MANAGEMENT

Recovering the number of clusters in data sets with noise features using feature rescaling factors

(2015) Renato Cordeiro de Amorim et al.   INFORMATION SCIENCES

Driver fatigue recognition based on facial expression analysis using local binary patterns

(2015) Yan Zhang et al.   OPTIK

Clustering in Vehicular Ad Hoc Networks using Affinity Propagation

(2013) B. Hassanabadi et al.   Ad Hoc Networks

Evaluation of Driver Perception–Reaction Time under Rainy or Wet Roadway Conditions at Onset of Yellow Indication

(2013) Ihab El-Shawarby et al.   TRANSPORTATION RESEARCH RECORD

A Driver Behavior-Based Lane-Changing Model for Urban Arterial Streets

(2012) Daniel (Jian) Sun et al.   TRANSPORTATION SCIENCE

APCluster: an R package for affinity propagation clustering

(2011) U. Bodenhofer et al.   BIOINFORMATICS

A Pattern-Recognition Approach for Driving Skill Characterization

(2010) Yilu Zhang et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Using Affinity Propagation Combined Post-Processing to Cluster Protein Sequences

(2010) Fan Yang et al.   PROTEIN AND PEPTIDE LETTERS