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dc.creatorKaratsoli M., Karakikes I., Nathanail E.en
dc.date.accessioned2023-01-31T08:31:53Z
dc.date.available2023-01-31T08:31:53Z
dc.date.issued2019
dc.identifier10.1007/978-3-030-02305-8_79
dc.identifier.isbn9783030023041
dc.identifier.issn21945357
dc.identifier.urihttp://hdl.handle.net/11615/74467
dc.description.abstractThis paper examines the current and the future performance of the traffic network around the center of the city of Volos in Greece, after the implementation of local traffic management measures and the introduction of innovative Intelligent Transportation System (ITS) services. The study focuses on the urban road of two main streets Iasonos (up to Fillelinon street) and Dimitriados (section between Fillelinon and Athanasiou Diakou streets) where during the peak hours, congestion results in high delays, bottlenecks and conflicts. System performance is based on specific indicators, which have been set to evaluate the traffic situation in the three main areas of interest: traffic quality, safety and environment. An investigation on the current and potential problems of the study area has been performed, by modeling the current situation (base scenario) in the microsimulation software VISSIM and using the “Surrogate Safety Assessment Model” (SSAM) to assess the traffic safety. The findings were low quality of signal control, low compliance of drivers to traffic laws (illegal and unregulated parking, trespassing of the bus lane), critical safety hotspots and increased emissions. “Soft” countermeasures are simulated and evaluated in VISSIM. Such “soft” countermeasures are the ban of access to Urban Freight Transport (UFT) vehicles during the peak hours, the adoption of ITS to prevent illegal parking, the adjustment of the coordination time offset. Apart from evaluating the impact of the countermeasures, the paper constitutes also a roadmap for achieving overall improvement of an urban traffic network without resulting into the construction of new transport infrastructure. © Springer Nature Switzerland AG 2019.en
dc.language.isoenen
dc.sourceAdvances in Intelligent Systems and Computingen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85059021212&doi=10.1007%2f978-3-030-02305-8_79&partnerID=40&md5=2e694e1d7de54fac1a6854f307461ec7
dc.subjectAccident preventionen
dc.subjectAdvanced traffic management systemsen
dc.subjectCompliance controlen
dc.subjectCrimeen
dc.subjectFreight transportationen
dc.subjectIntelligent systemsen
dc.subjectNetwork performanceen
dc.subjectQuality controlen
dc.subjectTraffic congestionen
dc.subjectTraffic signalsen
dc.subjectTraffic surveysen
dc.subjectAssessmenten
dc.subjectIntelligent transportation systemsen
dc.subjectTraffic flowen
dc.subjectTraffic safetyen
dc.subjectTransport infrastructureen
dc.subjectUrban freight transporten
dc.subjectUrban traffic managementen
dc.subjectUrban traffic networksen
dc.subjectUrban transportationen
dc.subjectSpringer Verlagen
dc.titleUrban traffic management utilizing soft measures: A case study of Volos cityen
dc.typeconferenceItemen


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