Methane is important in future energy schemes. The main strategies for storing and transporting methane are compression, liquefaction, and physical adsorption in synthetic porous materials. Here, we show that methane can be stored in a hydrated form using natural amino acids such as leucines as effective promoters to form methane hydrate with a high formation rate and a high capacity. In addition, the methane hydrate formed from the L‐leucine solution dissociates without foaming phenomenon. We also showed that the heavier hydrocarbons in natural gas can enhance the promoting effect of L‐leucine.

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Large-scale global positioning system (GPS) positioning information of floating cars has been recognised as a major data source for many transportation applications. Mapping large-scale low-frequency floating car data (FCD) onto the road network is very challenging for traditional map-matching (MM) algorithms developed for in-vehicle navigation. In this paper, a multi-criteria dynamic programming map-matching (MDP-MM) algorithm is proposed for online matching FCD. In the proposed MDP-MM algorithm, the MDP technique is used to minimise the number of candidate routes maintained at each GPS point, while guaranteeing to determine the best matching route. In addition, several useful techniques are developed to improve running time of the shortest path calculation in the MM process. Case studies based on real FCD demonstrate the accuracy and computational performance of the MDP-MM algorithm. Results indicated that the MDP-MM algorithm is competitive with existing algorithms in both accuracy and computational performance.