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Forthcoming and Online First Articles
World Review of Intermodal Transportation Research
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World Review of Intermodal Transportation Research (2 papers in press)
Real Time Traffic Flow based Traffic Signal Scheduling: A Queuing Theory Approach by Gatera Antoine, Chomora Mikeka, Gaurav Bajpai, Andras Valko Abstract: The lack of hierarchical road intersection management is a common scenario in low to middle-income countries. The increase in the number of vehicles leads to congestion at the road intersections, resulting in travellers delay. The reduction of congestion of particular segments is the main problem to be solved. This paper proposes a novel multi-server queuing model for traffic signal optimization to strengthen the sustainability of urban mobility. Given the arrival rate of cars on each road of the intersection, the queue information of every pattern movement is processed. It is further sent to the Traffic Management Control (TMC) for analysis. The queuing theory concepts are applied to the collected data. Further analysis and processing lead to traffic lights actuation to disperse and redirect traffic. The central processing entity analyses flow patterns rates for prioritization to reduce the delay. The proposed performance metrics such as arrival rate, waiting time, an average number of cars in the queue, intersection utilization is analysed and evaluated using ground truth data. The location of the test site is at the Giporoso intersection, one of the busiest intersections in Kigali city. The numerical results are graphically interpreted and show that the proposed queuing model approach reduces the delay by increasing the intersection throughput or mathematically decreasing the traffic flow exponentially. This allows smoother traffic flow with less congestion for the users of the Giporoso intersection in Kigali. Keywords: Queuing model; Road network; traffic congestion; Green light cycle; traffic flow.
Volatility spillover through Capesize and Panamax freight markets: an integrated ISM model by Abdullah Açık Abstract: Although Capesize type vessels are specialised in iron ore transportation, they can also be used extensively in coal transportation. Panamax type vessels can also increase their share of iron ore cargoes, depending on the density in the Capesize market. This situation partially complicates the relationship between them and increases the need for an integrated model of relationships. In this direction, we analysed the volatility
and risk spillover between commodity prices and freight markets with causality in variance test and Interpretive Structural Modelling (ISM) model, and we revealed a hierarchical structure in a single model. According to results, source of the risk and volatility in freight markets is the commodity prices and these prices are independent of each other. The volatility in commodity prices first spreads to the Panamax freight market and then to the Capesize freight market. Therefore, the Capesize stands out as the most dependent market to volatility. Keywords: volatility spillover; dry bulk market; commodity market; a hierarchical structure. DOI: 10.1504/WRITR.2021.10041941