Model predictive control of vehicles on urban roads for improved fuel economy

Md Abdus Samad Kamal, Masakazu Mukai, Junichi Murata, Taketoshi Kawabe

Research output: Contribution to journalArticlepeer-review

359 Citations (Scopus)


Energy consumption of a vehicle is greatly influenced by its driving behavior in highly interacting urban traffic. Strategies for fuel efficient driving have been studied and experimented with in various conceptual frameworks. This paper presents a novel control system to drive a vehicle efficiently on roads containing varying traffic and signals at intersections for improved fuel economy. The system measures the relevant information of the current road and traffic, predicts the future states of the preceding vehicle, and computes the optimal vehicle control input using model predictive control (MPC). A typical control objective is chosen to maximize fuel economy by regulating a safe head-distance or cruising at the optimal velocity under bounded driving torque condition. The proposed vehicle control system is evaluated in urban traffic containing thousands of diverse vehicles using the microscopic traffic simulator AIMSUN. Simulation results show that the vehicles controlled by the proposed MPC method significantly improve their fuel economy.

Original languageEnglish
Article number6214590
Pages (from-to)831-841
Number of pages11
JournalIEEE Transactions on Control Systems Technology
Issue number3
Publication statusPublished - 2013

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Electrical and Electronic Engineering


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