지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한산업공학회 Industrial Engineering & Management Systems Industrial Engineering & Management Systems Vol.19 No.1
- 발행연도
- 2020.3
- 수록면
- 228 - 241 (14page)
- DOI
- 10.7232/iems.2020.19.1.228
이용수
초록· 키워드
오류제보하기
Traffic congestion is a critical problem in many big cities when expansion of traffic systems is implemented to catch up with the increasing demand for road transportation. The policy to shift routes to avoid traffic congestion is one policy that can be supported by traffic information systems. A traffic information sign is one of the solutions that provide traffic information to drivers (users) for selecting routes. Infrastructure for physical signs needs investment, so the optimal number and location of signs should be appropriate for maximizing the effectiveness in reducing traffic congestion. Firstly, a mathematical model for the location of traffic signs was proposed in this study. Then optimal solutions were evaluated using simulation tests. Application of the proposed method is presented for solving the case study of Chiang Mai University’s traffic network. The optimal solutions were to assign two signs on roads with high departure flows and high possibility to change directions. The simulation results present ranges of the probability for changing directions that can reduce the departure flows at the bottleneck gate. When the flows at the bottleneck gate were reduced, the traffic in this area was shown to be less congested. Moreover, utilizations of gates were more balanced.
목차
ABSTRACT
1. INTRODUCTION
2. PRELIMINARIES
3. PROPOSED MATHEMATICAL MODEL
4. CASE STUDY
5. DISCUSSION
6. CONCLUSION
REFERENCES
참고문헌 (24)
참고문헌 신청
Avatefipour, O. / 2018 / Traffic management system using IoT technology-A comparative review / Proceedings of the IEEE International Conference on Electro/Information Technology (EIT) :1041~1047
de Souza, A. M. / 2017 / Traffic management systems : A classification, review, challenges, and future perspectives / International Journal of Distributed Sensor Networks 13(4):1~14
Ezzat, A. A. / 2014 / Optimization using simulation of traffic light signal timings / Proceedings of the International Conference on Industrial Engineering and Operations Management :3007~3017
Farheen, A. / 2018 / IoT Based Traffic Management in Smart Cities / International Conference on Intelligent Data Communication Technologies and Internet of Things (ICICI) 2018 :1045~1052
Hewage, K. N. / 2004 / Optimization of traffic signal light timing using simulation / Proceedings of the 2014 Winter Simulation Conference :1428~1433
de Souza, A. M. / 2017 / Traffic management systems : A classification, review, challenges, and future perspectives / International Journal of Distributed Sensor Networks 13(4):1~14
Ezzat, A. A. / 2014 / Optimization using simulation of traffic light signal timings / Proceedings of the International Conference on Industrial Engineering and Operations Management :3007~3017
Farheen, A. / 2018 / IoT Based Traffic Management in Smart Cities / International Conference on Intelligent Data Communication Technologies and Internet of Things (ICICI) 2018 :1045~1052
Hewage, K. N. / 2004 / Optimization of traffic signal light timing using simulation / Proceedings of the 2014 Winter Simulation Conference :1428~1433
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UCI(KEPA) : I410-ECN-0101-2020-530-000536159