University of Twente Student Theses
Mobility as a Service and Dynamic Traffic Management : Optimizing the System
Hünteler, J.T. (2924) Mobility as a Service and Dynamic Traffic Management : Optimizing the System.
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| Abstract: | Over the years, the demand for mobility of people has been ever-increasing. The number of people being transported per year and the number of different transport modes have increased. Despite a dip in this duing the Covid-19 pandemic, people are moving more than ever before. Especially in recent years, a new group of transportation modes has emerged; shared mobility in the form of scooters, mopeds and bikes that can be booked through smartphone apps. These services are rapidly growing and some first attempts of integration with public transport hubs can be seen. However, the planning of these multimodal trips is complicated, both in a logistic organization point of view and a user’s point of view. This is where Mobility as a Service (MaaS) comes into play. MaaS is the concept of having most of the available transport modes in one app. This way multimodal trips can be easily planned and paid for by the user. MaaS apps like Gaiyo have been on the rise recently, but are struggling to find their place in the travel planning market next to giants like Google Maps, Waze, and the NS app in the Dutch context. Furthermore, in terms of system interests, MaaS could be used for traffic management purposes. This way, people can be guided to different modalities than the most popular mode of transport: the car. From this, a vision came to life in which MaaS is used in Dynamic Traffic Management (DTM). DTM consists of measures that attempt to influence people’s travel behavior according to possible congestion on roads, mostly highways. Examples of this are adapting speed limits, or opening extra lanes, in order to increase the road’s capacity temporarily. This vision of MaaS in DTM is explored during this research. This will attempt to better redistribute trips over multiple transportation modes and with this partially solve traffic congestion. This way, the entire mobility system can be optimized to its best use and to decrease overall travel times. It is necessary to research the feasibility of this vision, in order to know wheter this should be something that should be implemented in cities like Den Bosch. To research this, the study is based on three sub-questions, which together will answer the main research question: ‘To what extent does using MaaS as a DTM measure work to reduce car traffic congestion in rush hour at highway junction Empel in Den Bosch?’ The first part of the research is based on literature reviews, in which multiple sources are evaluated to find an initial number of potential traffic volume reductions that can be expected by MaaS use. When combining the results of these multiple sources, an estimated reduction of 4% can be expected. In the second part of the research, this 4% reduction is verified by creating a model to simulate traffic on a highway junction near Den Bosch called Empel. This model is created in a traffic simulation software called Vissim. These simulations are run for multiple possible reductions of traffic volume, to see when the current traffic congestion can be reduced or even solved. Measuring this congestion is done by measuring travel times. From this, it appears that a reduction of 8% is needed in order to lower average travel times by about 37%. The 4% suggested by the literature only reduces travel times by about 15%. |
| Item Type: | Essay (Bachelor) |
| Faculty: | ET: Engineering Technology |
| Programme: | Civil Engineering BSc (56952) |
| Link to this item: | https://purl.utwente.nl/essays/104500 |
| Export this item as: | BibTeX EndNote HTML Citation Reference Manager |
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