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Den gröna vågen på Götgatan: En simuleringsstudie av cyklister i en samordnadtrafiksignalanläggning
KTH, School of Architecture and the Built Environment (ABE), Civil and Architectural Engineering, Transport Planning, Economics and Engineering.
2018 (Swedish)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

Traffic signals play an important role in a citys traffic system both as an instrument fordistribution of space and for creating safety. When planning traffic signals there are a numberof different forms of control that can be used. One of there is coordinated control where anumber of traffic signals are planned in union in order to create a green wave along an arterialroad.The green wave works under the assumption that the traffic travelling on the link is keepingthe appropriate speed. Therefore there is also a demand that the planner has the correctinformation about the speed distribution of the vehicle composition using the system.In Stockholm there is a political will to prioritize walking and cycling as modes of transportahead of private transport by car in the planning. This is expressed in the official documentexplaining the strategies for mobility (Sv. “Framkomlighetsstrategin”). An important tool inmanaging to make the change in the traffic system that this would entail is traffic signaltiming. The green waves that have been planned historically have been planned for theautomobile for the speeds that are relevant for this mode of transport without necessarilypaying much attention to the effects this would have on cyclists.Götgatan is a street in central Stockholm that is an important connection for the cyclistscommuting from the southern suburbs to the central part of the city. In 2014 the municipalitydecided to rebuild this street to widen the bike lanes and implement a green wave designed tobe appropriate for a cyclist travelling at a speed of roughly 18 km/h. There was no hard datato support this assumed speed and therefore the efficacy of the wave is also uncertain for theactual cyclists using the street. Therefore this project has been directed at measuring the actualdistribution of velocities found in the afternoon rush. This was done for normal cyclists andelectrically assisted cyclists to try to quantify the effect of an increased share of electricalbicycles through micro simulation in Vissim. Vissim was also used to assess the delay causedby the traffic signals. In total the speed of 2200 cyclists was collected over three hoursdistributed over three days in april.The findings are that the average velocity of all cyclists was 21.9 km/h with a standarddeviation of 4.5 km/h.For electrical bicycles the average speed was 23.8 km/h and the standard deviation was 3.1km/h.For normal bicycles the average speed was 21.7 and the standard deviation was 4.5 km/h.The main effect of an increasing share of electrical bicycles does not seem to be a largeincrease of speed but rather a decreased spread of the distribution of speeds.The green wave does seem to be working well for the speeds found in this study and thedifference in delay found when removing the signals in the coordination was marginal.One possible reason for this might be that the green splits are planned in favor of the trafficalong the road in order for the car-traffic on the link to be able to move through the street.

Place, publisher, year, edition, pages
2018.
Series
TRITA-ABE-MBT ; 18484
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:kth:diva-238743OAI: oai:DiVA.org:kth-238743DiVA, id: diva2:1262028
Available from: 2018-11-09 Created: 2018-11-09 Last updated: 2022-06-26

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