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Urban Mobility Management and Emissions Measurement System Boile Maria 1,2 Afroditi Anagnostopoulou 1 Evangelia Papargyri 1 1 Centre for Research and Technology.

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Presentation on theme: "Urban Mobility Management and Emissions Measurement System Boile Maria 1,2 Afroditi Anagnostopoulou 1 Evangelia Papargyri 1 1 Centre for Research and Technology."— Presentation transcript:

1 Urban Mobility Management and Emissions Measurement System Boile Maria 1,2 Afroditi Anagnostopoulou 1 Evangelia Papargyri 1 1 Centre for Research and Technology (CERTH)/ Hellenic Institute of Transport (H.I.T.) 2 University of Piraeus boile@certh.gr, a.anagnostopoulou@certh.gr, papargyri.eva@certh.gr Abstract An integrated approach aiming to rationalize and improve the efficiency of urban mobility, promoting reduced energy consumption and associated GHG emissions. It supports both public and private sector stakeholder needs for monitoring and evaluation of the impact of traffic policies and measures over time and assessing the level of success of different management strategies. Background The use of current technological advances contributes to improved sustainability by mitigating traffic related pollution and reducing the operational costs associated with inefficient planning of urban mobility. Advanced ICT tools are capable of providing the relevant and appropriate insight that constitutes the basis for more effective decision-making. Methodological Approach for Urban Mobility Management and Emissions Measurement Scheme An integrated approach is proposed to rationalize and improve the efficiency of urban mobility and to promote energy savings and GHG emissions mitigation, combining two levels of analysis. Reliable and comprehensive emissions data are generated, by integrating proven models with advanced data collection procedures. Network Level Analysis The system utilizes FCD (Floating Car Data) as a basis for determining traffic flow conditions and subsequently calculating aggregate vehicle emissions at a network level using an existing emissions model. The traffic flow model provides information on the average speed and travel time for each road segment, free flow speed and speed distribution. Traffic parameters (traffic volumes and traffic composition) are used to estimate traffic-related emissions. Emissions maps are generated at a network level and an emissions history database is gradually developed Vehicle Level Analysis Estimated emissions are compared with emissions values generated at a vehicle level (i.e. from trucks, buses etc.), based on real time vehicle information and engine performance metrics. Vehicle level data are processed and integrated in the traffic and emissions modeling system, to produce more accurate estimates of the vehicle emissions. Comparative performance indicators are developed and incorporated into a decision support module, which evaluates traffic management strategies and proposes green, effective and efficient transportation/mobility options. The indicators reflect both traffic efficiency and environmental aspects enabling a “before and after” assessment. The tool implementation is based on web software technologies and includes reporting, notifications and user role functionality. Conclusions The proposed approach could assist stakeholders to make assessments on the relation between their transport activity and related fuel consumption and emissions. It enables the evaluation of new transportation and mobility strategies, selection of more appropriate itineraries, and assessment of driver profiles. From a public authority perspective, overall traffic and environmental improvements at a network level could also be assessed in a short term basis and emission maps can be used to study future actions and plans. Outcomes The scheme forms a win-win approach where public authorities offer network traffic information for free to private companies, fleet operators and individuals, who in turn provide vehicle level data to the system and consider and adopt new “green” strategies. The ICT adoption strategy is aligned to European requirements and contributes to fuel consumption and emissions mitigation. The continuous trajectory information of individual vehicles and their fuel consumption demonstrates an eminent data source for investigation of different solutions (e.g eco-driving, etc.) that can influence the environmental footprint and achieve sustainable and efficient urban mobility. It is a generic approach that does not depend on the nature and characteristics of each city/region. The model parameters could be adjusted to each case study attributes. The embedded methodologies are broadly applicable to a large variety of practical settings and different conditions allowing transferability to other areas. FIgureFIgure Figure 1: Developed Scheme Main Target Groups Individuals, private corporations, public and private fleet operators, and public authorities are directly positively affected by the proposed approach, as they may exploit its outcomes for their own benefits.


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