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On the Complexity of Congestion Free Routing in Transportation Networks

Traffic congestion has been proven a difficult problem to tackle, particularly in big cities where the number of cars are steadily increasing while the infrastructure remains stagnant. Several approaches have been proposed to alleviate the effects of traffic congestion, however, so far congestion is still a big problem in most cities. In this work we investigate a new route reservation approach to address the problem which is motivated by air traffic control. This paper formulates the route reservation problem under different assumptions and examines the complexity of the resulting formulations. Two waiting strategies are investigated, (i) vehicles are allowed to wait at the source before they start their journey, and (ii) they are allowed to wait at every road junction. Strategy (i) though more practical to implement, results to an NP-complete problem while strategy (ii) results to a problem that can be solved in polynomial time but it is not easily implemented since the infrastructure does not have adequate space for vehicles to wait until congestion downstream is cleared. Finally, a heuristic algorithm (based on time-expanded networks) is derived as a solution to both proposed waiting strategies. © 20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works C. Menelaou, P. Kolios, S. Timotheou and C. Panayiotou, "On the Complexity of Congestion Free Routing in Transportation Networks," 2015 IEEE 18th International Conference on Intelligent Transportation Systems, Las Palmas, 2015, pp. 2819-2824. doi: 10.1109/ITSC.2015.453 Document type: Conference objec

Congestion Free Vehicle Scheduling Using a Route Reservation Strategy

Traffic congestion in big cities has been proven to be a difficult problem with adverse effects in terms of driver delay and frustration, cost and impact to the environment. Motivated by the approaches used in air-traffic control, this work investigates a method for controlling traffic congestion using time-dependent route reservation. The advances in information, communication and computation technologies has made such a reservation strategy feasible. This paper illustrates that the new reservation strategy is scalable and can be applied even to large metropolitan areas. To do so, we decompose the road network spatially and temporarily and propose a vehicle scheduling and routing algorithm which completely eliminate congestion. Simulation results show that the proposed approach is very promising. © 20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, in-cluding reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to serv-ers or lists, or reuse of any copyrighted component of this work in other works. C. Menelaou, P. Kolios, S. Timotheou and C. G. Panayiotou, "Congestion Free Vehicle Scheduling Using a Route Reservation Strategy," 2015 IEEE 18th International Conference on Intelligent Transportation Systems, Las Palmas, 2015, pp. 2103-2108. doi: 10.1109/ITSC.2015.340 https://www.ieee.org/publications_standards/publications/rights/rights_policies.html Document type: Conference objec

A congestion-free vehicle route reservation architecture

Transportation research is mainly focused on answering the question of how to eliminate traffic congestion over large scale areas. Inasmuch as a large portion of big cities suffers from traffic congestion with severe (in many cases) consequences on personal mobility. Drawbacks of congestion include driver delay and frustration, higher fuel consumption, air pollution and financial losses (in terms of man-hours lost on working days). Congestion has, traditionally, been a difficult problem to tackle since traffic demand fluctuates dynamically. The major cause of congestion is that a portion of the network is conferred to accommodate higher number of vehicles than its actual capacity. Nonetheless, congestion usually occurs due to lack of an efficient management of transport network utilization and not because demand exceeds network's capacity [1]. Therefore, it is possible to alleviate congestion if vehicles are more effectively distributed over the entire network achieving better load balancing. • "© 20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, in-cluding reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to serv-ers or lists, or reuse of any copyrighted component of this work in other works. C. Menelaou, P. Kolios, S. Timotheou and C. G. Panayiotou, "A congestion-free vehicle route reservation architecture," 2016 18th Mediterranean Electrotechnical Conference (MELECON), Lemesos, 2016, pp. 1-6. doi: 10.1109/MELCON.2016.7495458 • https://www.ieee.org/publications_standards/publications/rights/rights_policies.html Document type: Conference objec

Joint route guidance and demand management for multi-region traffic networks

Traffic congestion occurs as demand surpasses the available capacity of a road network, resulting to lower speeds and longer journey times; with route guidance constituting the primary control strategy to alleviate the problem. However, the effectiveness of route guidance is limited in high-demand conditions. In this work, we proposed a Model Predictive Control (MPC) framework that combines multi-regional route guidance with a novel demand management method. Route guidance is used to minimize the network's density imbalance while demand management is utilized to reduce the conditions that cause congestion. This can be achieved by manipulating vehicle routes (i.e., using route guidance) and/or by instructing a portion of the vehicles to wait at their origin before commencing their journey (demand management). Simulations are conducted to evaluate the performance of the proposed MPC optimization indicating the substantial improvements that can be achieved in traffic flow performance. Cyprus Research Promotion Foundation the Government of the Republic of Cyprus through the Directorate General for European Programmes, Coordination and Development and through the Research Promotion Foundation (Project: CULTURE/BR-NE/0517/14) © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, in-cluding reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to serv-ers or lists, or reuse of any copyrighted component of this work in other works. Menelaou, C., Timotheou, S., Kolios, P. and Panayiotou, C.G., 2019, June. "Joint route guidance and demand management for multi-region traffic networks," 2019 18th European Control Conference (ECC), Naples, pp. 2183-2188, IEEE. doi:10.23919/ECC.2019.8795819 Document type: Conference objec

Strategi Pengembangan USAha Agrowisata di Kebun Benih Hortikultura, Tohudan, Colomadu, Karanganyar

: The purpose of the research are to know the revenue in one year, knowing the factors internally and externally which became strengths, weaknesses, opportunities and threats, knowing a good alternative strategies to be formulated and know the priority good strategy to be applied in Kebun Benih Hortikultura Tohudan, Colomadu, Karanganyar. The basic methode of research is a descriptive analysis. Location of research in Kebun Benih Hortikultura Tohudan, Colomadu, Karanganyar. The data used are primary and secondary data. The analysis of the data used are (1) Revenue analysis, (2) Internal Factor Evaluation (IFE), (3) External Factor Evaluation (EFE), (4) SWOT, (5) QSPM. The result showed that income received by Kebun Benih Hortikultura Tohudan, Colomadu, Karanganyar in one year is Rp 65.766.000,00. Internal Factor Evaluation (IFE) showed the garden have six strengths and nine weaknesses. External Factor Evaluation (EFE) showed the garden have six opportunities and five threats. SWOT analysis showed the alternatives strategies that can be applied are utilize advances in technology information to promoting and marketing, building a relationship of cooperation with the investor, expand marketing production result and improve the situation of the garden to make it more interesting. QSPM showed a good strategy priorities to be applied is improve the situation of the garden to make it more interesting

Genome-wide meta-analysis in alopecia areata resolves HLA associations and reveals two new susceptibility loci

Alopecia areata (AA) is a prevalent autoimmune disease with 10 known susceptibility loci. Here we perform the first meta-analysis of research on AA by combining data from two genome-wide association studies (GWAS), and replication with supplemented ImmunoChip data for a total of 3,253 cases and 7,543 controls. The strongest region of association is the major histocompatibility complex, where we fine-map four independent effects, all implicating human leukocyte antigen-DR as a key aetiologic driver. Outside the major histocompatibility complex, we identify two novel loci that exceed the threshold of statistical significance, containing ACOXL/BCL2L11(BIM) (2q13); GARP (LRRC32) (11q13.5), as well as a third nominally significant region SH2B3(LNK)/ATXN2 (12q24.12). Candidate susceptibility gene expression analysis in these regions demonstrates expression in relevant immune cells and the hair follicle. We integrate our results with data from seven other autoimmune diseases and provide insight into the alignment of AA within these disorders. Our findings uncover new molecular pathways disrupted in AA, including autophagy/apoptosis, transforming growth factor beta/Tregs and JAK kinase signalling, and support the causal role of aberrant immune processes in AA

Blastocyst transfer in mice alters the placental transcriptome and growth.

Assisted reproduction technologies (ARTs) are becoming increasingly common. Therefore, how these procedures influence gene regulation and foeto-placental development are important to explore. Here, we assess the effects of blastocyst transfer on mouse placental growth and transcriptome. C57Bl/6 blastocysts were transferred into uteri of B6D2F1 pseudopregnant females and dissected at embryonic day 10.5 for analysis. Compared to non-transferred controls, placentas from transferred conceptuses weighed less even though the embryos were larger on average. This suggested a compensatory increase in placental efficiency. RNA sequencing of whole male placentas revealed 543 differentially expressed genes (DEGs) after blastocyst transfer: 188 and 355 genes were downregulated and upregulated, respectively. DEGs were independently validated in male and female placentas. Bioinformatic analyses revealed that DEGs represented expression in all major placental cell types and included genes that are critical for placenta development and/or function. Furthermore, the direction of transcriptional change in response to blastocyst transfer implied an adaptive response to improve placental function to maintain foetal growth. Our analysis revealed that CpG methylation at regulatory regions of two DEGs was unchanged in female transferred placentas and that DEGs had fewer gene-associated CpG islands (within ~20 kb region) compared to the larger genome. These data suggested that altered methylation at proximal promoter regions might not lead to transcriptional disruption in transferred placentas. Genomic clustering of some DEGs warrants further investigation of long-range, cis-acting epigenetic mechanisms including histone modifications together with DNA methylation. We conclude that embryo transfer, a protocol required for ART, significantly impacts the placental transcriptome and growth.This work was supported by grants from the Centre for Trophoblast Research (CTR) (to EDW), Lister Institute for Preventative Medicine (to EDW), and Canadian Institutes for Health Research (to JCC). KM was funded by a Newnham College (Cambridge) studentship and A.G. Leventis scholarship. SJT was funded by a Next Generation Fellowship (CTR). GETB was funded by a Wellcome Trust PhD studentship in Developmental Mechanisms. RSH and MP were funded by the CTR

Genome-Wide Meta-Analysis in Alopecia Areata Resolves HLA Associations and Reveals Two New Susceptibility Loci

Alopecia areata (AA) is a prevalent autoimmune disease with ten known susceptibility loci. Here we perform the first meta-analysis in AA by combining data from two genome-wide association studies (GWAS), and replication with supplemented ImmunoChip data for a total of 3,253 cases and 7,543 controls. The strongest region of association is the MHC, where we fine-map 4 independent effects, all implicating HLA-DR as a key etiologic driver. Outside the MHC, we identify two novel loci that exceed statistical significance, containing ACOXL/BCL2L11(BIM) (2q13); GARP (LRRC32) (11q13.5), as well as a third nominally significant region SH2B3(LNK)/ ATXN2 (12q24.12). Candidate susceptibility gene expression analysis in these regions demonstrates expression in relevant immune cells and the hair follicle. We integrate our results with data from seven other autoimmune diseases and provide insight into the alignment of AA within these disorders. Our findings uncover new molecular pathways disrupted in AA, including autophagy/apoptosis, TGFß/Tregs and JAK kinase signaling, and support the causal role of aberrant immune processes in AA