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The microwave detection technology has become an effective tool for monitoring highway traffic flow in China. The cross section traffic data collected provides models opportunity for travel time prediction. However, the sparseness of data somewhat constrains the prediction accuracy. To tackle this problem, the paper presents a highway travel time prediction algorithm based on pattern matching method. First, a pattern library is established by choosing traffic volume and speed as its certain

Jiandong Zhao, Feifei Xu, Wenhui Liu, Jigen Bai, Xiaoling Luo

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 658–676


The Use of Travel Time to Measure Geographic Accessibility to Breast Screening Services in New South Wales, Australia Short Paper

58.7 53.5 46.9 54.5 AS rate 52.6 56.7 58.0 53.3 47.0 54.0 50-74 years Number 1,118,627 376,955 176,191 19,992 8,838 1,701,854 Crude rate (b) 52.2 56.9 57.8 53.3 46.7 53.7 AS rate 51.8 56.2 57.2 53.1 46.6 53.2 Therefore, travel time to the nearest breast screen service can affect participation rates. Bashshur et al. (1971) suggested that distance to a source of care affected frequency of use, with increased distance usually reducing use of services. A common measure of geographic

Deborah van Gaans, Neil Coffee, Theo Niyonsenga, Catherine Miles, Matthew Warner-Smith, Mark Daniel, David Roder, Daniel J. Weiss

South Australian Geographical Journal , ISSUE 1, 1–7

Research Article

Economic effects of time loss in passenger transport – evidence from selected polish cities

Time is a necessary factor in processes of transportation. The economic value of travel time is the opportunity cost of the time spent on journey, so the reduction of travel time becomes the main goal of transport network users. Travel time losses in passenger transport are frequently observed in crowded cities, which are facing different types of traffic congestion. The article shows the analysis of the complicated causes of travel time loss, the need of implementing some simplifications

Agnieszka WAŻNA

Transport Problems , ISSUE 2, 49–55


Estimation Algorithm for Low Frequency Seismic Motions Based on Extended Semblance Function

Monitoring low frequency and long period ground motions is very important for earthquake detection and alarm systems, and signal processing techniques help to investigate the mechanism of deep ground motions and earthquake occurrence by detecting effective seismic information from the seismograms. In this paper a frequency domain algorithm is presented to estimate the travel time difference of seismic waves with multi-path interferences caused by the refraction effect. The spectra of the

Lianming Sun

International Journal of Advanced Network, Monitoring and Controls , ISSUE 1, –

Research Article


Summary. Travel time is a measure commonly used for traffic flow modelling and traffic control. It also helps to evaluate the quality of traffic control systems in urban areas. Traffic control systems that use traffic models to predict changes and disruptions in vehicle flows have to use vehicle speed-prediction models. Travel time estimation studies the effects of traffic volumes on a street section at an average speed. The TRISTAR Integrated Transport Management System, currently being


Transport Problems , ISSUE 1, 39–50


Traveling Route Generation Algorithm Based On LDA and Collaborative Filtering

] et al. has proposed an optimization algorithm based on iterated local search (ILS) and cuckoo search (CS). This algorithm firstly uses ILS to solve tourist attractions and initial travel routes. Then, the CS algorithm is used to minimize time cost of travel route while satisfying both the time window constraint of tourist attraction and the total number of attractions. The main problem solved by the algorithm is a complete route of the shortest travel time required given the tourist attractions

Peng Cui, Yuming Wang, Chunmei Li

International Journal of Advanced Network, Monitoring and Controls , ISSUE 4, 47–62

Research Article

Multicriteria vehicle routing problem solved by artificial immune system

Vehicles route planning in large transportation companies, where drivers are workers, usually takes place on the basis of experience or intuition of the employees. Because of the cost and environmental protection, it is important to save fuel, thus planning routes in an optimal way. In this article an example of the problem is presented solving delivery vans route planning taking into account the distance and travel time within the constraints of vehicle capacities, restrictions on working time


Transport Problems , ISSUE 3, 141–152

Research Article

Robust p-median problem in changing networks

The robust p-median problem in changing networks is a version of known discrete p-median problem in network with uncertain edge lengths where uncertainty is characterised by given interval. The uncertainty in edge lengths may appear in travel time along the edges in any network location problem. Several possible future scenarios with respect to the lengths of edges are presented. The planner will want a strategy of positioning p medians that will be working “as well as possible" over the future

Štefan PEŠKO, Tomáš MAJER

Transport Problems , ISSUE 3, 125–130

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