A road traffic engineering (RTE) is realistically required to reduce the road traffic congestion (RTC) degree. The congestion negatively affects not only to economy and physiology factors, but also for human environment and health. This paper methodologically represents the development of ecological decision support system based on the concept of fuzzy logic (Fuzzy ecoDSS) for RTE. Three types of core method operated here; fuzzy logic, water flow algorithm (WFA), and object oriented. The method fuzzy logic used to avoid the fuzziness in parameterizing and prioritize the parameters. The WFA approach functioned to replicate the flow of road traffic and optimize it thru RTE. Finally, the method object oriented benefited to analyze and design the constructed system. Thus, the simulation result exhibits the best decision alternative taken gives better air condition (more 200% than normal condition) and better road traffic velocity (more 2,200% than normal situation).


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Fuzzy ecoDSS Development for Road Traffic Engineering




    Publication date :

    2018-09-01


    Size :

    344561 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Service Oriented Fuzzy Decision Model for Road Traffic Engineering

    Utama, Ditdit Nugeraha / Zaki, Fauzan Affan / Munjeri, Intan Juliani et al. | IEEE | 2023


    Road Safety and Traffic Engineering

    Skladany, P. / Statens vag- och transportforskningsinstitut / Transportation Research Board; U.S. | British Library Conference Proceedings | 1996


    Traffic engineering and road safety

    Forshaw, V. / Whitehead, J.I. | Engineering Index Backfile | 1953



    Development of Road Traffic and Road Traffic Safety in Germany

    Lenz, K.-H. / Fraunhofer-Institut fur Chemische Technologie | British Library Conference Proceedings | 1993