Bus Dwell Time Prediction Based on KNN

被引：14
|
作者：
Xin, Jianxia [1 ,2 ]
Chen, Shuyan [1 ,2 ]
机构：
[1] Southeast Univ, Jiangsu Key Lab Urban ITS, Si Pai Lou 2, Nanjing 210096, Jiangsu, Peoples R China
[2] Jiangsu Prov Collaborat Innovat Ctr Morden Urban, Si Pai Lou 2, Nanjing 210096, Jiangsu, Peoples R China
来源：
GREEN INTELLIGENT TRANSPORTATION SYSTEM AND SAFETY | 2016年 / 138卷
关键词：
bus dwell time; prediction; k-nearest neighbor algorithm;
D O I：
10.1016/j.proeng.2016.01.260
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
The objective of this research is to develop a dynamic model to predict bus dwell time at downstream stops. The research also intends to test the proposed model using real-world data. This model is based on k-Nearest Neighbour (KNN) algorithm using history and current data collected by GPS (Global Positon System) fixed on buses. In the research, the data of buses of No.B1 line of Changzhou in China is used. In the test with real-world data, the proposed bus dwell time prediction model performed effectively both on accuracy and calculating speed. (C) 2016 The Authors. Published by Elsevier Ltd.
引用
收藏
页码：283 / 288
页数：6
相关论文
共 50 条
  • [1] Research on dwell time prediction for dedicated bus priority
    Zhi, Chen
    Dehui, Sun
    Xiaoming, Liu
    Chunlin, Shang
    Huinan, Gu
    IPPTA: Quarterly Journal of Indian Pulp and Paper Technical Association, 2018, 30 (04) : 513 - 520
  • [2] Hierarchical Bayesian Framework for Bus Dwell Time Prediction
    Isukapati, Isaac K.
    Igoe, Conor
    Bronstein, Eli
    Parimi, Viraj
    Smith, Stephen F.
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 22 (05) : 3068 - 3077
  • [3] Regression-Based Models for Bus Dwell Time
    Jiang, Xinkai
    Yang, Xiaoguang
    2014 IEEE 17TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC), 2014, : 2858 - 2863
  • [4] Analysis and Dynamic Prediction of Bus Dwell Time Under Rainfall Conditions
    Sun, Baoyun
    Yang, Yaping
    Dong, Lei
    Lu, Honglin
    Wang, Zimin
    PROMET-TRAFFIC & TRANSPORTATION, 2025, 37 (01): : 105 - 121
  • [5] Hybrid dwell time prediction method for bus rapid transit based on ARIMA-SVM model
    Yang M.
    Ding J.
    Wang W.
    Dongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Southeast University (Natural Science Edition), 2016, 46 (03): : 651 - 656
  • [6] Bus Dwell Time Estimation and Prediction: A Study Case in Shanghai-China
    Zhang, Cen
    Teng, Jing
    INTELLIGENT AND INTEGRATED SUSTAINABLE MULTIMODAL TRANSPORTATION SYSTEMS PROCEEDINGS FROM THE 13TH COTA INTERNATIONAL CONFERENCE OF TRANSPORTATION PROFESSIONALS (CICTP2013), 2013, 96 : 1329 - 1340
  • [7] Strategy for Multiobjective Transit Signal Priority with Prediction of Bus Dwell Time at Stops
    Ding, Jian
    Yang, Min
    Wang, Wei
    Xu, Chengcheng
    Bao, Yu
    TRANSPORTATION RESEARCH RECORD, 2015, (2488) : 10 - 19
  • [8] A Bus Progression Model based on the Control of Bus Dwell Time at Stops and Running Speed
    Xiang Yun
    Wang Baojie
    Wang Wei
    Wang Hao
    3RD INTERNATIONAL CONFERENCE ON TRANSPORTATION INFORMATION AND SAFETY (ICTIS 2015), 2015, : 341 - 344
  • [9] Bus dwell time estimation at bus bays: A probabilistic approach
    Meng, Qiang
    Qu, Xiaobo
    TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2013, 36 : 61 - 71
  • [10] Modeling Bus Dwell Time with Decision Tree-Based Methods
    Rashidi, Soroush
    Ranjitkar, Prakash
    Hadas, Yuval
    TRANSPORTATION RESEARCH RECORD, 2014, (2418) : 74 - 83
12345