Journal of South China University of Technology(Natural Science) >

2023 , Vol. 51 >Issue 10: 160 - 170

DOI: https://doi.org/10.12141/j.issn.1000-565X.230178

Green, Intelligent Traffic System

Optimization Model of Bus Priority Control Considering Carbon Emissions with Stochastic Characteristics

  • HU Xinghua ,
  • CHEN Xinghui ,
  • WANG Ran ,
  • LONG Bing ,
  • WU Jiang
Expand
  • 1.School of Traffic &Transportation，Chongqing Jiaotong University，Chongqing 400074，China
    2.Chongqing YouLiang Science & Technology Co. ，Ltd. ，Chongqing 404100，China
    3.Chongqing Transport Planning Institute，Chongqing 401120，China
    4.Chongqing Shengyuan Engineering Design Consulting Co. ，Ltd. ，Chongqing 400023，China
胡兴华（1981-），男，博士，教授，主要从事交通碳排放大数据分析及绿色低碳政策、区域及城市交通运输系统规划研究。E-mail： xhhoo@cqjtu.edu.cn

Received date: 2023-06-06

  Online published: 2023-06-21

Supported by

the Sichuan Science and Technology Project(2022YFG0132);the Chongqing Postgraduate Joint Training Base Project(JDLHPYJD2019007);the Chongqing Social Science Planning Project(2021NDYB035)

Fold

Abstract

In the context of the construction of a country with a strong transportation network, vigorously developing urban public transportation and promoting sustainable urban development has become an inevitable requirement for urban transportation development. Transit signal priority control, as an active priority strategy, can effectively reduce the carbon emissions and delays generated by buses at signal intersections, and improve the quality of bus service. A bus speed probability density function was introduced to study the effect of bus priority control strategy on traffic carbon emission, based on the speed stochastic characteristics of intersection. The effect of main parameters such as delay, stopping times, and speed on traffic carbon emission was analyzed. A bi-level optimization model of single-intersection bus priority control was established using the combination strategy of speed guidance and green extension. The model took the optimal carbon emission reduction of buses and cars with different fuel types in the upstream section of the intersection and the intersection control area as the upper-level objective, the optimal total people delay reduction as the lower-level objective, and the guidance speed as well as the compressed green time of the non-bus-priority phases as the decision variables. The Gauss-Seidel iterative algorithm was used to solve the model. Finally, the established model was applied to the calculation cases for analysis, and the results indicated that under the guidance acceleration and green extension strategy, the overall carbon emission and total passenger delay reduction of the intersection could reach 25.63% and 36.27%, respectively. The model effectively reduced carbon emissions and total passenger delays in the upstream sections of the intersection and the intersection control area, and optimized the overall traffic benefit of the intersection while promoting sustainable development.

Key words： urban traffic; carbon emissions; bus priority control; speed guidance; probability density function

Cite this article

HU Xinghua , CHEN Xinghui , WANG Ran , LONG Bing , WU Jiang . Optimization Model of Bus Priority Control Considering Carbon Emissions with Stochastic Characteristics[J]. Journal of South China University of Technology(Natural Science), 2023 , 51(10) : 160 -170 . DOI: 10.12141/j.issn.1000-565X.230178

References

1 LI J， LIU Y， ZHENG N，et al ．Regional coordinated bus priority signal control considering pedestrian and vehicle delays at urban intersections［J］．IEEE Transactions on Intelligent Transportation Systems，2021，3（2）：85-103.
2 XU T， BARMAN S， LEVIN M W，et al ．Integrating public transit signal priority into max-pressure signal control：methodology and simulation study on a downtown network［J］．Transportation Research Part C：Emerging Technologies，2022，138：103614.
3 宋现敏，冷宁，姜景玲 ．车联网环境下基于可变相位的公交优先信号控制方法［J］．华南理工大学学报（自然科学版），2021，49（5）：18-27.
  SONG Xianmin， LENG Ning， JIANG Jingling ．Bus priority signal control method based on variable phase in internet vehicles environment［J］．Journal of South China University of Technology （Natural Science Edition），2021，49（5）：18-27.
4 CEYLAN H， BELL M G H ．Traffic signal timing optimization based on genetic algorithm approach，including drivers’routing［J］．Transportation Research Part B：Methodological，2020，38（4）：329-342.
5 Liu J， Lin P， Ran B ．A reservation-based coordinated transit signal priority method for bus rapid transit system with connected vehicle technologies［J］．IEEE Intelligent Transportation Systems Magazine，2020，13（4）：17-30.
6 欧诗琪，俞春辉，马万经 ．干线信号协调背景下的网联公交实时优先控制方法［J］．同济大学学报（自然科学版），2022，50（3）：339-350.
  Shiqi OU， YU Chunhui， MA Wanjing ．Connected bus real-time priority control considering arterial signal coordination［J］．Journal of Tongji University （Natural Science），2022，50（3）：339-350.
7 KWAK J， PARK B， LEE J ．Evaluating the impacts of urban corridor traffic signal optimization on vehicle emissions and fuel consumption［J］．Transportation Planning and Technology，2019，35（2）：145-160.
8 KAREKLA X， FERNANDEZ R， TYLER N ．Environmental effect of bus priority measures applied on a road network in santiago，chile［J］．Transportation Research Record，2018，2672（8）：135-142.
9 HALLMARK S L， FOMUNUNG I， GUENSLER R，et al ．Assessing impacts of improved signal timing as a transportation control measure using an activity-specific modeling approach［J］．Transportation Research Record，2020，1738（1）：49-55.
10 刘畅，魏丽英 ．考虑人均延误和人均排放的信号配时优化模型［J］．哈尔滨工业大学学报，2018，50（9）：83-88.
  LIU Chang， WEI Liying ．Signal timing optimization model considering per capita delay and per capita emissions［J］．Journal of Harbin Institute of Technology，2018，50（9）：83-88.
11 HU X， CHEN X， GUO J，et al ．Optimization model for bus priority control considering carbon emissions under non-bus lane conditions［J］．Journal of Cleaner Production，2023，402：136747.
12 彭飞，宋国华，尹航，等 ．面向实际交通状态的混合动力汽车能耗和CO2排放模型［J］．交通运输系统工程与信息，2022，22（6）：316-326.
  PENG Fei， SONG Guohua， YIN Hang，et al ．Energy consumption and co2 emission model for hybrid vehicles in real traffic conditions［J］．Journal of Transportation Systems Engineering and Information Technology，2022，22（6）：316-326.
13 徐龙，王力，刘莹，等 ．基于多源数据的公交车能耗碳排放测算模型［J］．交通运输系统工程与信息，2020，20（3）：174-181.
  XU Long， WANG Li， LIU Ying，et al ．Calculation model of bus energy consumption and co2 emission based on multi-source data［J］．Journal of Transportation Systems Engineering and Information Technology，2020，20（3）：174-181.
14 THODI B T， CHILUKURI B R， VANAJAKSHI L ．An analytical approach to real-time bus signal priority system for isolated intersections［J］．Journal of Intelligent Transportation Systems，2022，26（2）：145-167.
15 胡兴华 ．车路协同环境下信号交叉口公交优先控制优化研究［D］．北京：北京交通大学，2016.
16 MONDAL S， GUPTA A ．Evaluation of driver acceleration/deceleration behavior at signalized intersections using vehicle trajectory data［J］．Transportation Letters，2023，15（4）：350-362.
17 唐一媛，毛保华，周琪 等 ．电动汽车运行阶段碳排放因子影响因素研究［J］．交通节能与环保， 2022，18（3）：17-22.
  TANG Yiyuan， MAO Baohua， ZHOU Qi，et al ．Impact analysis on carbon emission factor in operations of electric vehicle［J］．Transport Energy Conservation & Environmental Protection，2022，18（3）：17-22.
18 QUNFANG G， HUANG X ．The influence of energy consumption and research and development on carbon emission in China：a modified spatial Durbin model approach［J］．Environmental Science and Pollution Research，2023，30（15）：44173-44186.
Options
Outlines

/

〈 〉