TRADER: Traffic Light Phases Aware Driving for Reduced Traffic Congestion in Smart Cities

Cullen Rhodes, Soufiene Djahel

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Citations (Scopus)


Despite the significant research efforts and resources spent to alleviate the impact of road traffic congestion on economy, environment and road safety, it is still one of the major unsolved problems of the 21st century. The emergence of smart self-driving vehicles promises a dramatic change in the way road traffic congestion is controlled and mitigated. This can be achieved by enabling efficient communication between these vehicles and modern road infrastructure such as smart traffic lights controllers. This paper, therefore, proposes a simple yet efficient mechanism named (TRADER: TRaffic Light Phases Aware Driving for REduced tRaffic Congestion) in order to reduce the overall vehicles' travel time in smart cities. TRADER has been implemented and extensively evaluated under several scenarios using SUMO and TraCI. The obtained simulation results, using a set of typical road networks, have demonstrated the effectiveness of TRADER in terms of the significant reduction of travel time, up to 31.44% in a random road network topology.

Original languageEnglish
Title of host publication2017 International Smart Cities Conference, ISC2 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages8
ISBN (Electronic)9781538625231, 9781538625248
ISBN (Print)9781538625255
Publication statusPublished - 2 Nov 2017
Externally publishedYes
Event2017 International Smart Cities Conference - Wuxi, China
Duration: 14 Sep 201717 Sep 2017


Conference2017 International Smart Cities Conference
Abbreviated titleISC2 2017


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