Fuel-saving driving strategy for connected vehicles in multiple signalized intersections

doi:10.16511/j.cnki.qhdxxb.2018.22.036

Download: PDF(2219 KB)
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks

Abstract This paper describes a fuel-saving driving strategy for multiple intersections with known signal times. The fuel-saving strategy with two signals is constructed as a constrained optimal control problem with the vehicle longitudinal dynamics model as the state equations and with the vehicle physical performance and environmental conditions as constraints. A reverse recursive calculational method based on dynamic programming is used to solve the problem with an accelerate-cruise-decelerate fuel-saving driving strategy. The fuel-saving modes for two intersections are then extended to multiple intersections as a shortest path problem solved by the Floyd-Warshall algorithm. A fuel-saving driving strategy is then developed for multiple intersections with the same or different speed limits.

Keywords vehicle fuel economy connected vehicle fuel-saving driving intersection

Issue Date: 15 July 2018

	Service

	E-mail this article
	E-mail Alert
	RSS
	Articles by authors

	XIN Zhe
	YU Zhou
	GUO Qiangqiang
	LIN Qingfeng
	LI Shengbo
	XU Chenxiang

Cite this article:

XIN Zhe,YU Zhou,GUO Qiangqiang, et al. Fuel-saving driving strategy for connected vehicles in multiple signalized intersections[J]. Journal of Tsinghua University(Science and Technology), 2018, 58(7): 684-692.

URL:

http://jst.tsinghuajournals.com/EN/10.16511/j.cnki.qhdxxb.2018.22.036 OR http://jst.tsinghuajournals.com/EN/Y2018/V58/I7/684

[1] 李克强, 戴一凡, 李升波, 等. 智能网联汽车(ICV)技术的发展现状及趋势[J]. 汽车安全与节能学报, 2017, 8(1):1-14. LI K Q, DAI Y F, LI S B, et al. State-of-the-art and technical trends of intelligent and connected vehicles[J]. Journal of Automotive Safety and Energy, 2017, 8(1):1-14. (in Chinese)
[2] 李升波, 徐少兵, 王文军, 等. 汽车经济性驾驶技术及应用概述[J]. 汽车安全与节能学报, 2014, 5(2):121-131. LI S B, XU S B, WANG W J, et al. Overview of ecological driving technology and application for ground vehicles[J]. Journal of Automotive Safety and Energy, 2014, 5(2):121-131. (in Chinese)
[3] XU S B, LI S E, CHENG B, et al. Instantaneous feedback control for a fuel-prioritized vehicle cruising system on highways with a varying slope[J]. IEEE Transactions on Intelligent Transportation Systems, 2017, 18(5):1210-1220.
[4] LI S E, HU X S, LI K Q, et al. Mechanism of vehicular periodic operation for optimal fuel economy in free-driving scenarios[J]. IET Intelligent Transport Systems, 2015, 9(3):306-313.
[5] LI S E, GUO Q Q, XIN L, et al. Fuel-saving servo-loop control for an adaptive cruise control system of road vehicles with step-gear transmission[J]. IEEE Transactions on Vehicular Technology, 2017, 66(3):2033-2043.
[6] XU S B, LI S E, PENG H, et al. Fuel-saving cruising strategies for parallel HEVs[J]. IEEE Transactions on Vehicular Technology, 2016, 65(6):4676-4686.
[7] LI S E, GUO Q Q, XU S B, et al. Performance enhanced predictive control for adaptive cruise control system considering road elevation information[J]. IEEE Transactions on Intelligent Vehicles, 2017, 2(3):150-160.
[8] LIN Q F, DU X J, LI S E, et al. Vehicle-to-infrastructure communication based eco-driving operation at multiple signalized intersections[C]//Proceedings of 2016 IEEE Vehicle Power and Propulsion Conference. Hangzhou, China, 2016:1-6.
[9] ASADI B, VAHIDI A. Predictive cruise control:Utilizing upcoming traffic signal information for improving fuel economy and reducing trip time[J]. IEEE Transactions on Control Systems Technology, 2011, 19(3):707-714.
[10] XIA H T, BORIBOONSOMSIN K, BARTH M. Dynamic eco-driving for signalized arterial corridors and its indirect network-wide energy/emissions benefits[J]. Journal of Intelligent Transportation Systems, 2013, 17(1):31-41.
[11] KAMAL A S, MUKAI M, MURATA J, et al. Model predictive control of vehicles on urban roads for improved fuel economy[J]. IEEE Transactions on Control Systems Technology, 2013, 21(3):831-841.
[12] YAMAGUCHI D, KAMAL M A S, MUKAI M, et al. Model predictive control for automobile ecological driving using traffic signal information[J]. Journal of System Design and Dynamics, 2012, 6(3):297-309.
[13] HE X Z, LIU H X, LIU X B. Optimal vehicle speed trajectory on a signalized arterial with consideration of queue[J]. Transportation Research Part C:Emerging Technologies, 2015, 61:106-120.
[14] DE NUNZIO G, DE WIT C C, MOULIN P, et al. Eco-driving in urban traffic networks using traffic signals information[J]. International Journal of Robust and Nonlinear Control, 2016, 26(6):1307-1324.
[15] XU S B, LI S E, DENG K, et al. A unified pseudospectral computational framework for optimal control of road vehicles[J]. IEEE/ASME Transactions on Mechatronics, 2015, 20(4):1499-1510.
[16] 徐少兵. 车辆经济性驾驶的策略辨识与操控规律[D]. 北京:清华大学, 2016.XU S B. Strategy identification and operation rules of vehicular economical driving[D]. Beijing:Tsinghua University, 2016. (in Chinese)
[17] AHN K, RAKHA H, TRANI A, et al. Estimating vehicle fuel consumption and emissions based on instantaneous speed and acceleration levels[J]. Journal of Transportation Engineering, 2002, 128(2):182-190.
[18] SAERENS B, RAKHA H A, DIEHL M, et al. A methodology for assessing eco-cruise control for passenger vehicles[J]. Transportation Research Part D:Transport and Environment, 2013, 19:20-27.
[19] PELKMANS L, DEBAL P, HOOD T, et al. Development of a simulation tool to calculate fuel consumption and emissions of vehicles operating in dynamic conditions[C]//Proceedings of 2004 SAE Fuels & Lubricants Meeting & Exhibition. Toulouse, France, 2004.
[20] LI S E, XU S B, KUM D. Efficient and accurate computation of model predictive control using pseudospectral discretization[J]. Neurocomputing, 2016, 177:363-372.