{"title":"Exploring Empty Truck Behavior Using One-Year Probe Vehicle Data","authors":"Ryosuke Maeda, Takuya Maruyama","doi":"10.1007/s13177-023-00372-2","DOIUrl":null,"url":null,"abstract":"Abstract Examining empty truck behavior can be beneficial in developing an efficient and environmentally friendly logistics system. This study used probe vehicle data from April 2019 to March 2020 in Kyushu, Japan, to explore empty truck behavior. The results revealed a difference in the empty truck ratio across the day of the week, time of the day, and month and the trip distribution of empty and loaded trucks. A nonhierarchical cluster analysis was used to classify vehicles based on empty/loaded situations. These results can be potentially used to reduce the number of empty trucks and improve the efficiency of logistics systems.","PeriodicalId":44279,"journal":{"name":"International Journal of Intelligent Transportation Systems Research","volume":"232 1","pages":"0"},"PeriodicalIF":1.1000,"publicationDate":"2023-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Intelligent Transportation Systems Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s13177-023-00372-2","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"TRANSPORTATION SCIENCE & TECHNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Abstract Examining empty truck behavior can be beneficial in developing an efficient and environmentally friendly logistics system. This study used probe vehicle data from April 2019 to March 2020 in Kyushu, Japan, to explore empty truck behavior. The results revealed a difference in the empty truck ratio across the day of the week, time of the day, and month and the trip distribution of empty and loaded trucks. A nonhierarchical cluster analysis was used to classify vehicles based on empty/loaded situations. These results can be potentially used to reduce the number of empty trucks and improve the efficiency of logistics systems.
期刊介绍:
This journal is the only transportation journal to report on multi-disciplinary research efforts with the goal to discover solutions to difficult issues in the field. It provides a platform to bring together researchers and specialists in the fields of transportation, electrical, mechanical and traffic engineering, as well as those in the areas of policy planning, economics, and psychology, for wide-ranging discussion about future transportation systems. The journal is the global forum for transportation research. Papers published include original research in such areas as: Sensor Technology
Imaging, Laser, Induction Coil, Ultrasonic Sensor and Recognition Technology based on the above mentioned technologies.
Communication Technology and its Applications
Infrared Beacon, Radio Wave DSRC (Dedicated Short Range Communication), ETC (Electronic Toll Collection System), Navigation System
Vehicle Control and Automated Driving
AHS (Advanced Cruise-Assist Highway System), ACC (Adaptive Cruise Control), Lane-Keep, Automatic Driving, Automatically Operated Bus
Safety Improvement and Human Interface
ASV (Advanced Safety Vehicle), Cruise Assist, Simulator
Traffic Control
Incident Detection System, Traffic Measurement, Signal Control, Accident Management
Traffic Planning
Road Planning, Signal Planning, Traffic Simulation
Urban Engineering
Urban Space Modelling, Urban Planning
Transportation Policy, Traffic Economy
Creation & Improvement of Pertinent Laws and Regulations, TDM (Transportation Demand Management), Road Pricing, Privacy Protection
Traffic Psychology
Drivers, Pedestrians and Vulnerable Road Users
Other Applied Technologies