Jinrak, Park (Hyundai Motor Company), Kim, Dohee (Hyundai Motor Company)

Energy-Optimal Deceleration Planning Method Using Improved Dynamic Programming under Intelligent Transportation System

Scheduled for presentation during the Regular Session "S03b-Connected Vehicle Technologies and Intelligent Infrastructure Systems" (WE-EA-T3), Wednesday, November 19, 2025, 13:50−14:10, Southport 3

2025 IEEE 28th International Conference on Intelligent Transportation Systems (ITSC), November 18-21, 2025, Gold Coast, Australia

This information is tentative and subject to change. Compiled on October 19, 2025

Abstract

Recently, with the introduction of Intelligent Transportation System(ITS) technology, information helpful for energy-saving driving of vehicles is increasing. The slope of driving paths and the location of speed cameras can be known from vehicle navigation, and Signal Phase and Timing(SPaT) of traffic lights can be known through Vehicle-To-Infrastructure(V2I) communication. Also, the location and speed of other vehicles can be known through Vehicle-To-Vehicle(V2V) communication. Here, the transportation system that can obtain various information from a navigation map, V2I communication, and V2V communication is called the ITS. When using this ITS information during autonomous driving, driving energy can be saved by predictively controlling vehicle speed. In this study, a speed planning method for deceleration that optimizes driving energy of an electric vehicle is dealt with in considering the road slope from the current point to the arrival point when an autonomous vehicle encounters a traffic light, a speed camera, or a vehicle ahead. In this time, the conditions of current point speed, arrival point speed, arrival point elapsed time, and arrival point distance are assumed to be given. The proposed method was verified and compared to the DP method and manual driving method by applying them to deceleration events in an urban driving environment of an actual vehicle and a Kia Motors RWD