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An Evolutionary Based Approach for the Traffic Lights Optimization Problem. / Davydov, Ivan; Tolstykh, Daniil.

Mathematical Optimization Theory and Operations Research - 18th International Conference, MOTOR 2019, Revised Selected Papers. ed. / Igor Bykadorov; Vitaly Strusevich; Tatiana Tchemisova. Springer International Publishing AG, 2019. p. 19-29 (Communications in Computer and Information Science; Vol. 1090 CCIS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Harvard

Davydov, I & Tolstykh, D 2019, An Evolutionary Based Approach for the Traffic Lights Optimization Problem. in I Bykadorov, V Strusevich & T Tchemisova (eds), Mathematical Optimization Theory and Operations Research - 18th International Conference, MOTOR 2019, Revised Selected Papers. Communications in Computer and Information Science, vol. 1090 CCIS, Springer International Publishing AG, pp. 19-29, 18th International Conference on Mathematical Optimization Theory and Operations Research, MOTOR 2019, Ekaterinburg, Russian Federation, 08.07.2019. https://doi.org/10.1007/978-3-030-33394-2_2

APA

Davydov, I., & Tolstykh, D. (2019). An Evolutionary Based Approach for the Traffic Lights Optimization Problem. In I. Bykadorov, V. Strusevich, & T. Tchemisova (Eds.), Mathematical Optimization Theory and Operations Research - 18th International Conference, MOTOR 2019, Revised Selected Papers (pp. 19-29). (Communications in Computer and Information Science; Vol. 1090 CCIS). Springer International Publishing AG. https://doi.org/10.1007/978-3-030-33394-2_2

Vancouver

Davydov I, Tolstykh D. An Evolutionary Based Approach for the Traffic Lights Optimization Problem. In Bykadorov I, Strusevich V, Tchemisova T, editors, Mathematical Optimization Theory and Operations Research - 18th International Conference, MOTOR 2019, Revised Selected Papers. Springer International Publishing AG. 2019. p. 19-29. (Communications in Computer and Information Science). doi: 10.1007/978-3-030-33394-2_2

Author

Davydov, Ivan ; Tolstykh, Daniil. / An Evolutionary Based Approach for the Traffic Lights Optimization Problem. Mathematical Optimization Theory and Operations Research - 18th International Conference, MOTOR 2019, Revised Selected Papers. editor / Igor Bykadorov ; Vitaly Strusevich ; Tatiana Tchemisova. Springer International Publishing AG, 2019. pp. 19-29 (Communications in Computer and Information Science).

BibTeX

@inproceedings{dc327461d48d496287348d6e0e307b4e,
title = "An Evolutionary Based Approach for the Traffic Lights Optimization Problem",
abstract = "We consider the traffic lights optimization problem which arises in city management due to continuously growing traffic. Given a road network and predictions (or statistical data) about the traffic flows through the arcs of this network the problem is to define the offsets and phase length for each traffic light in order to improve the overall quality of the service. The latter can be defined through a number of criteria, such as average speed, average trip duration, total waiting time etc. For this problem, we present an evolutionary based heuristic approach. We use a simulation model on the basis of the SUMO modeling system to evaluate the quality of obtained solutions. The results of numerical experiments on real data confirm the efficiency of the proposed approach.",
keywords = "Evolutionary algorithm, Simulation modeling, SUMO, Traffics lights sheduling",
author = "Ivan Davydov and Daniil Tolstykh",
note = "Publisher Copyright: {\textcopyright} 2019, Springer Nature Switzerland AG.; 18th International Conference on Mathematical Optimization Theory and Operations Research, MOTOR 2019 ; Conference date: 08-07-2019 Through 12-07-2019",
year = "2019",
month = jan,
day = "1",
doi = "10.1007/978-3-030-33394-2_2",
language = "English",
isbn = "9783030333935",
series = "Communications in Computer and Information Science",
publisher = "Springer International Publishing AG",
pages = "19--29",
editor = "Igor Bykadorov and Vitaly Strusevich and Tatiana Tchemisova",
booktitle = "Mathematical Optimization Theory and Operations Research - 18th International Conference, MOTOR 2019, Revised Selected Papers",
address = "Switzerland",

}

RIS

TY - GEN

T1 - An Evolutionary Based Approach for the Traffic Lights Optimization Problem

AU - Davydov, Ivan

AU - Tolstykh, Daniil

N1 - Publisher Copyright: © 2019, Springer Nature Switzerland AG.

PY - 2019/1/1

Y1 - 2019/1/1

N2 - We consider the traffic lights optimization problem which arises in city management due to continuously growing traffic. Given a road network and predictions (or statistical data) about the traffic flows through the arcs of this network the problem is to define the offsets and phase length for each traffic light in order to improve the overall quality of the service. The latter can be defined through a number of criteria, such as average speed, average trip duration, total waiting time etc. For this problem, we present an evolutionary based heuristic approach. We use a simulation model on the basis of the SUMO modeling system to evaluate the quality of obtained solutions. The results of numerical experiments on real data confirm the efficiency of the proposed approach.

AB - We consider the traffic lights optimization problem which arises in city management due to continuously growing traffic. Given a road network and predictions (or statistical data) about the traffic flows through the arcs of this network the problem is to define the offsets and phase length for each traffic light in order to improve the overall quality of the service. The latter can be defined through a number of criteria, such as average speed, average trip duration, total waiting time etc. For this problem, we present an evolutionary based heuristic approach. We use a simulation model on the basis of the SUMO modeling system to evaluate the quality of obtained solutions. The results of numerical experiments on real data confirm the efficiency of the proposed approach.

KW - Evolutionary algorithm

KW - Simulation modeling

KW - SUMO

KW - Traffics lights sheduling

UR - http://www.scopus.com/inward/record.url?scp=85076160625&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-33394-2_2

DO - 10.1007/978-3-030-33394-2_2

M3 - Conference contribution

AN - SCOPUS:85076160625

SN - 9783030333935

T3 - Communications in Computer and Information Science

SP - 19

EP - 29

BT - Mathematical Optimization Theory and Operations Research - 18th International Conference, MOTOR 2019, Revised Selected Papers

A2 - Bykadorov, Igor

A2 - Strusevich, Vitaly

A2 - Tchemisova, Tatiana

PB - Springer International Publishing AG

T2 - 18th International Conference on Mathematical Optimization Theory and Operations Research, MOTOR 2019

Y2 - 8 July 2019 through 12 July 2019

ER -

ID: 22995018