Next Article in Journal
Adaptive Local Spatiotemporal Features from RGB-D Data for One-Shot Learning Gesture Recognition
Next Article in Special Issue
Object Detection and Classification by Decision-Level Fusion for Intelligent Vehicle Systems
Previous Article in Journal
Development of a Wearable Instrumented Vest for Posture Monitoring and System Usability Verification Based on the Technology Acceptance Model
Previous Article in Special Issue
Thermal Property Analysis of Axle Load Sensors for Weighing Vehicles in Weigh-in-Motion System
Article Menu

Export Article

Open AccessArticle

A Cooperative Traffic Control of Vehicle–Intersection (CTCVI) for the Reduction of Traffic Delays and Fuel Consumption

Laboratoire Systèmes et Transports, Université de Technologie de Belfort-Montbéliard, Belfort 90000, France
Author to whom correspondence should be addressed.
Academic Editor: Simon X. Yang
Sensors 2016, 16(12), 2175;
Received: 18 October 2016 / Revised: 12 December 2016 / Accepted: 15 December 2016 / Published: 17 December 2016
(This article belongs to the Special Issue Sensors for Transportation)
PDF [1050 KB, uploaded 21 December 2016]


The problem of reducing traffic delays and decreasing fuel consumption simultaneously in a network of intersections without traffic lights is solved by a cooperative traffic control algorithm, where the cooperation is executed based on the connection of Vehicle-to-Infrastructure (V2I). This resolution of the problem contains two main steps. The first step concerns the itinerary of which intersections are chosen by vehicles to arrive at their destination from their starting point. Based on the principle of minimal travel distance, each vehicle chooses its itinerary dynamically based on the traffic loads in the adjacent intersections. The second step is related to the following proposed cooperative procedures to allow vehicles to pass through each intersection rapidly and economically: on one hand, according to the real-time information sent by vehicles via V2I in the edge of the communication zone, each intersection applies Dynamic Programming (DP) to cooperatively optimize the vehicle passing sequence with minimal traffic delays so that the vehicles may rapidly pass the intersection under the relevant safety constraints; on the other hand, after receiving this sequence, each vehicle finds the optimal speed profiles with the minimal fuel consumption by an exhaustive search. The simulation results reveal that the proposed algorithm can significantly reduce both travel delays and fuel consumption compared with other papers under different traffic volumes. View Full-Text
Keywords: dynamic programming; V2I; traffic delays; fuel consumption; speed profile dynamic programming; V2I; traffic delays; fuel consumption; speed profile

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Li, J.; Dridi, M.; El-Moudni, A. A Cooperative Traffic Control of Vehicle–Intersection (CTCVI) for the Reduction of Traffic Delays and Fuel Consumption. Sensors 2016, 16, 2175.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top