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- Unconventional Traffic Signal Control and Simulation Simulation-Based Evaluation of Unconventional Traffic Control Methods(2026) SREENIVASANPOTTY , MANJUNATHANPOTTY; SASIDHARAN, SHYAMJITHThe objective of this thesis was to evaluate alternative traffic signal-control strategies at the Ullevi intersection in Gothenburg. A microscopic traffic simulation model was developed in PTV VISSIM using observed traffic volumes, public transport operations, pedestrians, bicycle facilities, signal groups, and detector information. Three signal-control scenarios were evaluated under identical traffic demand conditions: existing VAP-based actuated control, a tandem pre-signal design, and a fixed-time signal-control strategy. The scenarios were compared using average vehicle delay, queue length, vehicle travel time, and pedestrian travel time. The results showed that signal-control modifications can improve intersection performance without major physical infrastructure changes. The Tandem pre-signal technique showed an improvement in traffic flow on some approaches by using an upstream signal to organize before they have entered the main intersection. Whereas the fixed-time technique proved to be reliable and more consistent in dealing with many movements, including pedestrians crossing the road. Each solution, however, involved its own drawbacks, and they had different effects on different groups of road users as well as traffic as a whole. Overall, the results indicate that the signal control strategies used do not perform well under all conditions. The suitable approach depends upon practical priorities of the intersection and trade-off between the traffic movement and different user groups.
- A Patient-Specific Metabolic Modeling Framework of Whole-Blood Transcriptomes for Early Screening of Prodromal Parkinson’s Disease(2026) Chapman, HaileyAbstract Parkinson’s disease (PD) is a progressive neurodegenerative disorder associated with widespread metabolic dysfunction, particularly involving mitochondrial pathways. Because clinical diagnosis typically occurs only after substantial neuronal loss has already occurred, there is increasing interest in identifying molecular alterations associated with the prodromal phase of disease progression. Genome-scale metabolic models (GEMs) provide a systems-level framework for integrating transcriptomic data with known metabolic networks to investigate disease-associated metabolic changes. In this thesis, the mitochondrial compartment of HumanGEM was first curated through systematic comparison with the manually curated MitoCore model to im prove reaction directionality and compartment consistency. Longitudinal whole blood RNA-seq data from healthy control, prodromal PD, and established PD co horts were then integrated with the curated model using the ftINIT contextualization algorithm to generate 2326 patient-specific GEMs. Flux sampling was subsequently performed to characterize feasible metabolic states across patient-specific models. Global analyses of model structure and sampled flux-space organization revealed limited disease separation at the systems level. However, differential flux analysis identified metabolic alterations. Significant reactions were associated with mul tiple pathways that have been previously implicated in PD, such as amino acid metabolism, lysosomal degradation and fatty acid processing. Overall, this work demonstrates the application of patient-specific metabolic mod eling to investigate systemic metabolic alterations associated with Parkinson’s dis ease progression. Although the identified metabolic differences were modest and heterogeneous across longitudinal timepoints, the findings demonstrate the utility of GEM-based approaches for exploratory systems-level analysis of complex human disease
- Car-Free Zones Around Schools in Gothenburg Aliterature - and simulation-based study for future implementation of car-free zones around schools(2026) Engström , Daniel; Sonesson, AlvaThis master’s thesis reviews international implementations of car-free zones around schools and assesses how similar measures could be applied at four selected schools in Gothenburg. It examines which interventions have proven effective across differ ent contexts and develops context-sensitive proposals for designing and implementing car-free zones under varying traffic conditions and urban contexts in Gothenburg. The study combines a literature review, interviews, field observations, case studies, and traffic simulations. Experiences from Sweden and other countries are analysed to identify effective implementation strategies, common challenges, and key factors for successful implementation. The literature review and interview indicate that car-free zones can improve traffic safety and promote active travel. However, their effectiveness depends on local condi tions such as road network function, traffic volumes, alternative routes, and stakeholder acceptance. The findings highlight the need for context-specific design, clear regula tions, physical measures to ensure compliance, and complementary safety measures. Four schools in Gothenburg, representing different urban contexts, were selected as case studies. The proposed solutions included permanent road closures for Brunnsboskolan and Långmosseskolan, a time-restricted closure for Kungsladugårdsskolan, and alterna tive safety measures for Brottkärrsskolan. In all cases, complementary safety measures such as improved crossings, speed reduction measures, and designated drop-off areas are proposed. For Kungsladugårdsskolan and Brunnsboskolan, traffic simulation mod els were developed in PTV Vissim to evaluate the impacts of the proposed measures on queue delays, travel times, and level of service (LOS). The most affected streets reached LOSB at Kungsladugårdsskolan and LOS C at Brunnsboskolan, with maximum queue delays of 14.90 and 17.39 s/vehicle, respectively. This indicates that the proposed mea sures can be implemented without major negative effects on the surrounding network. Overall, the thesis provides practical recommendations for implementing car-free zones around schools in Gothenburg and contributes to a broader understanding of how such measures can be adapted to different urban environments.
- A Portfolio of Nature-based Remediation Methods for a Climate-smart Recovery of Agriculture on Demined Land in Ukraine(2026) JOBOE JOHNNY, AUGUSTINA MUNAThe continuing war in Ukraine has resulted in widespread pollution of agricultural soils owing to military actions such as the discharge of heavy metals and explosive residues. These toxins pose serious threats to agricultural production, food security, ecosystem functioning, and human health. Because of the large area of contaminated land, traditional remediation methods such as excavation and disposal are often economically and technically challenging. Nature based solutions (NbS) offer a long-term option for repairing polluted agricultural soils while also promoting climate-smart recovery. This thesis aims to develop a portfolio of nature-based remediation technologies suited to addressing large-scale soil pollution caused by heavy metals and explosive residues on demined agricultural land in Ukraine. The study focuses on analyzing the chemical remediation potential of NbS, including their methods, benefits, limits, and application under Ukrainian environmental conditions. A systematic literature review was conducted using the PRISMA approach, and studies were located using the Scopus database. The remediation methods examined included phytoremediation, bioremediation, biosorption, and soil amendments. The studies were chosen based on their pollutant type, remediation performance, relevance to agricultural soils, environmental sustainability, scalability, and Technology Readiness Level (TRL). Laboratory and greenhouse studies were classified as low technology readiness levels (TRL 3-4), while pilot-scale and field investigations were classified as high readiness levels (TRL 5-6) because they are more relevant to practical application. The findings showed that phytoremediation and soil amendment techniques have significant promise for large-scale agricultural restoration. Phytostabilisation and phytoexclusion were especially effective at reducing contaminant mobility and preventing transfer into the food chain, while phytoextraction showed potential for progressive contaminant removal in moderately polluted regions. Bioremediation has shown promise for explosive-contaminated hotspots via microbial degradation mechanisms. However, biosorption remains limited for agricultural soil applications because most studies are laboratory-based and aqueous. The research found that no single remediation strategy can address all pollution issues in war affected agricultural soils. Integrated techniques that include phytoremediation, soil amendments, and bioremediation are the most effective way to achieve long-term restoration. However, doubts persist due to a lack of field-scale research in Ukrainian circumstances, seasonal climatic fluctuation, and discrepancies between laboratory trials and real-world agricultural situations. This thesis presents a decision-support portfolio of nature-based remediation options to guide future restoration efforts for polluted agricultural land in Ukraine, as well as a contribution to long-term environmental recovery after the conflict.