IEICE TRANSACTIONS on Fundamentals
Sarsa Learning Based Route Guidance System with Global and Local Parameter Strategy
Summary :
Route guidance system is one of the essential components of a vehicle navigation system in ITS. In this paper, a centrally determined route guidance system is established to solve congestion problems. The Sarsa learning method is used to guide vehicles, and global and local parameter strategy is proposed to adjust the vehicle guidance by considering the whole traffic system and local traffic environment, respectively. The proposed method can save the average driving time and relieve traffic congestion. The evaluation was done using two cases on different road networks. The experimental results show the efficiency and effectiveness of the proposed algorithm.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E98-A No.12 pp.2686-2693
- Publication Date
- 2015/12/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E98.A.2686
- Type of Manuscript
- PAPER
- Category
- Intelligent Transport System
Authors
Feng WEN
Shenyang Ligong University
Xingqiao WANG
Shenyang Ligong University
Keyword
Latest Issue
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Feng WEN, Xingqiao WANG, "Sarsa Learning Based Route Guidance System with Global and Local Parameter Strategy" in IEICE TRANSACTIONS on Fundamentals,
vol. E98-A, no. 12, pp. 2686-2693, December 2015, doi: 10.1587/transfun.E98.A.2686.
Abstract: Route guidance system is one of the essential components of a vehicle navigation system in ITS. In this paper, a centrally determined route guidance system is established to solve congestion problems. The Sarsa learning method is used to guide vehicles, and global and local parameter strategy is proposed to adjust the vehicle guidance by considering the whole traffic system and local traffic environment, respectively. The proposed method can save the average driving time and relieve traffic congestion. The evaluation was done using two cases on different road networks. The experimental results show the efficiency and effectiveness of the proposed algorithm.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E98.A.2686/_p
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@ARTICLE{e98-a_12_2686,
author={Feng WEN, Xingqiao WANG, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Sarsa Learning Based Route Guidance System with Global and Local Parameter Strategy},
year={2015},
volume={E98-A},
number={12},
pages={2686-2693},
abstract={Route guidance system is one of the essential components of a vehicle navigation system in ITS. In this paper, a centrally determined route guidance system is established to solve congestion problems. The Sarsa learning method is used to guide vehicles, and global and local parameter strategy is proposed to adjust the vehicle guidance by considering the whole traffic system and local traffic environment, respectively. The proposed method can save the average driving time and relieve traffic congestion. The evaluation was done using two cases on different road networks. The experimental results show the efficiency and effectiveness of the proposed algorithm.},
keywords={},
doi={10.1587/transfun.E98.A.2686},
ISSN={1745-1337},
month={December},}
Copy
TY - JOUR
TI - Sarsa Learning Based Route Guidance System with Global and Local Parameter Strategy
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2686
EP - 2693
AU - Feng WEN
AU - Xingqiao WANG
PY - 2015
DO - 10.1587/transfun.E98.A.2686
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E98-A
IS - 12
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - December 2015
AB - Route guidance system is one of the essential components of a vehicle navigation system in ITS. In this paper, a centrally determined route guidance system is established to solve congestion problems. The Sarsa learning method is used to guide vehicles, and global and local parameter strategy is proposed to adjust the vehicle guidance by considering the whole traffic system and local traffic environment, respectively. The proposed method can save the average driving time and relieve traffic congestion. The evaluation was done using two cases on different road networks. The experimental results show the efficiency and effectiveness of the proposed algorithm.
ER -
English
