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	1. An approach to merging railway ticket records into origin-destination pairs based on sparse matrix characteristic
	LIN Ruixi,LIN Boliang
	Transportation Engineering 18 August 2014
	Show/Hide Abstract \| Cite this paper︱Full-text: PDF (0 B)

	Abstract:This work describes a data merging method under the background of railway tickets data integration. Origin-destination (OD) pairs are fundamental data in transportation engineering, and are widely used in various applications. For example, predictive OD pairs of the long-term future are the basis of optimizing transportation network design. Optimization of transportation plans also relies on existing OD pairs. The size of an OD matrix is always huge in a real transportation system. Each element of the matrix, i.e. an OD pair, is accumulated by numerous passenger tickets or freight invoices. The size of an OD matrix is huge in real transportation systems. In a railway system, each element of the matrix, i.e. an OD pair, is accumulated by numerous passenger ticket or freight invoices. In 2013, China railway system transported 2.075 billion passengers. In other words, an equivalent number of tickets were sold. Each ticket consists of information on the name of origin and destination, train number, and seat class etc. Similarly, a railway freight invoice consists of information on the name of origin and destination, freight category (e.g. coal, oil, grain, and ore), and volume etc. Obviously, the tickets usually contain some identical fields of information. For example, two tickets can share the same origin and destination. Researchers use only particular fields of the tickets for different analysis purposes. Consequently, an effective approach is needed to merge the ticket records based on interested keywords and creates the corresponding compressed OD matrix. A simple direct merging method costs a lot of computations. This work proposes an effective and efficient approach, named origin-associated merging, to merge ticket records based on the sparse matrix characteristic. For experiments, 30 samples are created according to the characteristic of China railway passenger flow, ranging from 200 thousands to 6 million records with a step of 200 thousands records. The experimental results show that the time using origin-associated merging is about 1% of that of direct merging. It is worth mentioning that the number of passenger tickets in China railway system is approximately 6 million per day.
	TO cite this article:LIN Ruixi,LIN Boliang. An approach to merging railway ticket records into origin-destination pairs based on sparse matrix characteristic[OL].[18 August 2014] http://en.paper.edu.cn/en_releasepaper/content/4606634


	2. Ramp Metering with Entrance gap Restriction
	Li Xingang
	Transportation Engineering 19 February 2014
	Show/Hide Abstract \| Cite this paper︱Full-text: PDF (0 B)

	Abstract:In this paper, a new ramp metering strategy is proposed. It restricts the entrance of on-ramp vehicle by space gap. The vehicle from on-ramp can enter into the main road only when the space gap on the main road is large enough. The effectiveness of the new strategy is verified by cellular automata traffic simulation model. The simulation results show that the saturated flux of the main road will be high and not drop by introducing large entrance gap restriction value. The ramp metering strategy with entrance gap restriction is effective.
	TO cite this article:Li Xingang. Ramp Metering with Entrance gap Restriction[OL].[19 February 2014] http://en.paper.edu.cn/en_releasepaper/content/4586074

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