Which quality is a route? A methodology for assessing route quality using spatio-temporal metrics

被引:0
|
作者
Rehrl, Karl [1 ]
Kranzinger, Stefan [1 ]
Groechenig, Simon [1 ]
机构
[1] Salzburg Res, Jakob Haringer Str 5, A-5020 Salzburg, Austria
关键词
TRAVEL-TIME RELIABILITY; VARIABILITY; ISSUES; CHOICE; MODEL;
D O I
10.1111/tgis.12705
中图分类号
P9 [自然地理学]; K9 [地理];
学科分类号
0705 ; 070501 ;
摘要
In the context of intelligent transport systems, dynamic route planning is an eagerly researched topic. While the research community during the last decade has focused on performance and scalability of dynamic route planning algorithms, the question concerning route qualities has been widely neglected. The current work contributes to this question by proposing a methodology to assess the quality of arbitrary routes based on seven spatio-temporal route quality metrics (five spatial and two temporal ones). The methodology is evaluated by calculating quality metrics for 45 routes being derived from three dynamic route planning systems for three selected origin-destination pairs during one day. For objectively assessing route qualities, the approach matches the route planning results to a reference digital road network and uses reference travel times for calculating quality metrics. A spatio-temporal cross-evaluation illustrates different quality aspects in the context of both quality dimensions and demonstrates the usefulness of the proposed approach.
引用
收藏
页码:869 / 896
页数:28
相关论文
共 50 条
  • [41] Spatio-temporal variation in sea state parameters along virtual ship route paths
    Nielsen, Ulrik D.
    JOURNAL OF OPERATIONAL OCEANOGRAPHY, 2022, 15 (03) : 169 - 186
  • [42] Spatio-Temporal Field Neural Networks for Air Quality Inference
    Feng, Yutong
    Wang, Qiongyan
    Xia, Yutong
    Huang, Junlin
    Zhong, Siru
    Liang, Yuxuan
    PROCEEDINGS OF THE THIRTY-THIRD INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, IJCAI 2024, 2024, : 7260 - 7268
  • [43] Statistical assessment for spatio-temporal water quality in Angkor, Cambodia
    Ki, Seo Jin
    Kang, Joo-Hyon
    Lee, Young Geun
    Lee, Yun Seok
    Sthiannopkao, Suthipong
    Kim, Joon Ha
    WATER SCIENCE AND TECHNOLOGY, 2009, 59 (11) : 2167 - 2178
  • [44] Revisiting the robustness of spatio-temporal modeling in video quality assessment
    Yan, Jiebin
    Wu, Lei
    Jiang, Wenhui
    Liu, Chuanlin
    Shen, Fei
    DISPLAYS, 2024, 81
  • [45] Video Quality Assessment for Spatio-Temporal Resolution Adaptive Coding
    Zhu, Hanwei
    Chen, Baoliang
    Zhu, Lingyu
    Chen, Peilin
    Song, Linqi
    Wang, Shiqi
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2024, 34 (07) : 6403 - 6415
  • [46] ANALYSIS OF VIDEO QUALITY INDUCED SPATIO-TEMPORAL SALIENCY SHIFTS
    Wu, Xinbo
    Dong, Zhengyan
    Zhang, Fan
    Rosin, Paul L.
    Liu, Hantao
    2022 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, ICIP, 2022, : 1581 - 1585
  • [47] Quantitative image quality analysis of a nonlinear spatio-temporal filter
    Sanchez-Marin, FJ
    Srinivas, Y
    Jabri, KN
    Wilson, DL
    IEEE TRANSACTIONS ON IMAGE PROCESSING, 2001, 10 (02) : 288 - 295
  • [48] Motion Tuned Spatio-Temporal Quality Assessment of Natural Videos
    Seshadrinathan, Kalpana
    Bovik, Alan Conrad
    IEEE TRANSACTIONS ON IMAGE PROCESSING, 2010, 19 (02) : 335 - 350
  • [49] A Spatio-Temporal Graph Convolutional Network for Air Quality Prediction
    Li, Pengfei
    Zhang, Tong
    Jin, Yantao
    SUSTAINABILITY, 2023, 15 (09)
  • [50] Spatio-temporal variations of indoor air quality in a university library
    Sahu, Veerendra
    Gurjar, Bhola Ram
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH, 2021, 31 (05) : 475 - 490