Abstract
Cities are growing and sustainable urban mobility planning (SUMP) is gaining in importance with it. The problems in the domain often involve multiple stakeholders with conflicting or competing objectives. The stakeholders and objectives can be local to certain neighborhoods or apply to the global city-wide scale. We present a methodology to address such problems with the help of modern simulators and multi-objective evolutionary algorithms. The methodology brings all stakeholders to the table and presents to them a near optimal set of alternatives to choose from. As an example, we consider the problem of minimizing vehicular noise in a particular neighborhood while also minimizing city-wide emission for heavy vehicles. We describe the requirements and capabilities of the simulator and the optimization algorithm in detail and present a methodology to model both local (noise reduction) and global (emissions) objectives simultaneously. We apply our methodology on two large city scale case studies and present our findings.
Highlights
Growing size of cities and increasing population mobility has led to a surge in the number of vehicles on roads (Berry, 2008; Eurostat, 2019; Lerner, van Franã et al, 2012)
We present an approach combining (i) simulation and (ii) Multi-Objective Evolutionary Algorithms (MOEA)
The simulations ran in reasonable amount of time for both cities and, for City B, the results were validated by talking to experts
Summary
Growing size of cities and increasing population mobility has led to a surge in the number of vehicles on roads (Berry, 2008; Eurostat, 2019; Lerner, van Franã et al, 2012). The growing motorisation has led to increase in traffic congestion, noise, carbon emissions and concerns of road safety resulting in social, environmental and economic costs (Okraszewska et al, 2018; van Wee & Ettema, 2016). These problems are broadly classified under the umbrella term sustainable urban mobility planning (SUMP). A typical example of such competing and conflicting objectives is the desire to reduce the noise levels in a particular neighborhood while minimizing the citywide emissions
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
