Fast Routing in Road Networks with Transit Nodes

Author:

Bast Holger12,Funke Stefan12,Sanders Peter12,Schultes Dominik12

Affiliation:

1. Max-Planck-Institut für Informatik, 66123 Saarbrücken, Germany.

2. Universität Karlsruhe (TH), 76128 Karlsruhe, Germany.

Abstract

When you drive to somewhere far away, you will leave your current location via one of only a few important traffic junctions. Starting from this informal observation, we developed an algorithmic approach, transit node routing, that allows us to reduce quickest path queries in road networks to a small number of table lookups. For road maps of Western Europe and the United States, our best query times improved over the best previously published figures by two orders of magnitude. This is also more than one million times faster than the best known algorithm for general networks.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

Reference4 articles.

1. A note on two problems in connexion with graphs

2. P. Sanders, D. Schultes, in Algorithms: ESA 2006, 14th European Symposium on Algorithms (ESA), Zurich, Switzerland, 11 to 13 September 2006 (vol. 4168 of Lecture Notes in Computer Science, Springer, Berlin, 2006), pp. 804–816.

3. More details can be found at http://algo2.iti.uka.de/schultes/hwy/.

4. This work was partially supported by Deutsche Forschungsgemeinschaft grant SA 933/1-3.

Cited by 134 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Boosting existing shortest path algorithms through highly efficient building of node cut set-based overlay;Expert Systems with Applications;2024-08

2. A rapid globe-wide shortest route planning algorithm based on two-layer oceanic shortcut network considering great circle distance;Ocean Engineering;2023-11

3. SparkACO: A Spark-Based Ant Colony Optimization for Path Planning of Large-Scale Complex Road Networks;2023 IEEE Ninth International Conference on Big Data Computing Service and Applications (BigDataService);2023-07

4. Solving the Traveling Saleman Problem Using Reinforcement Learning;2023 IEEE 2nd International Conference on Electrical Engineering, Big Data and Algorithms (EEBDA);2023-02-24

5. Aggregating Pairwise Information Over Optimal Routes;Proceedings of the 9th International Conference on Vehicle Technology and Intelligent Transport Systems;2023

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3