Automating the Import of Electronic Timetable Data to EMME/2-Based Public Transport Models
نویسندگان
چکیده
One of the speakers at RailDelft2005 issued a “plea for standardised models” for the simulation of railway operations. This issue is highly relevant in Britain, where the industry-standard CIF (Common Interface Format) timetable data files are not directly compatible with modelling tools such as RailSys and EMME/2. RMCon has developed a CIF import facility for RailSys, but no equivalent exists for EMME/2, which is used in the PLANET and Railplan multi-modal public transport models employed by the Department for Transport and Transport for London, respectively. This issue was highlighted during passenger demand forecasting work conducted by Arup for Network Rail (Britain‟s railway infrastructure owner and operator) for the South West Main Line Route Utilisation Strategy (SWML RUS), a strategy for the utilisation and development of the rail routes between London‟s Waterloo station and the area to the south-west. The PLANET South model was used for demand forecasting, using timetable data imported from a CIF file supplied by Network Rail. The issues encountered in importing the CIF data to PLANET led to the development of a Perl-based tool to automate the process, in a collaboration between Arup and the University of Southampton‟s Transportation Research Group. The success of this tool resulted in Arup being commissioned by Transport for London to develop a similar tool for Railplan, which simulates a less extensive but more detailed network than PLANET. The latter tool is now working and in use, although some aspects of it may yet be developed further.
منابع مشابه
A Novel Method for Measuring the Quality of Temporal Integration in Public Transport Systems
Temporal coordination of services, as a crucial aspect of integration in public transport systems, has always been a big concern for transit planners and schedulers. One of the major issues in the way of coordinating transit services is the lack of a robust measure of effectiveness for assessing the quality of temporal coordination in public transport systems. Even though the network-wide summa...
متن کاملDemand-oriented timetable design for urban rail transit under stochastic demand
In the context of public transportation system, improving the service quality and robustness through minimizing the average passengers waiting time is a real challenge. This study provides robust stochastic programming models for train timetabling problem in urban rail transit systems. The objective is minimization of the weighted summation of the expected cost of passenger waiting time, its va...
متن کاملPotential for the Invasive Species Aedes Albopictus and Arboviral Transmission through the Chabahar Port in Iran
Background: Dengue, chikungunya, and Zika viruses are emerging infectious disease threats wherever suitable vectors, hosts, and habitat are present. The aim of the present study was to use the bioagent transport and environmental modeling system (BioTEMS) to identify the potential for arbovirus-infected Aedes species to invade the Chabahar area in southeastern Iran. Methods: ArcGIS geospatial a...
متن کاملReal-time public transport service-level monitoring using passive WiFi: a spectral clustering approach for train timetable estimation
A new area in which passive WiFi analytics have promise for delivering value is the real-time monitoring of public transport systems. One example is determining the true (as opposed to the published) timetable of a public transport system in real-time. In most cases, there are no other publicly-available sources for this information. Yet, it is indispensable for the real-time monitoring of publ...
متن کاملFORECASTING TRANSPORT ENERGY DEMAND IN IRAN USING META-HEURISTIC ALGORITHMS
This paper presents application of an improved Harmony Search (HS) technique and Charged System Search algorithm (CSS) to estimate transport energy demand in Iran, based on socio-economic indicators. The models are developed in two forms (exponential and linear) and applied to forecast transport energy demand in Iran. These models are developed to estimate the future energy demands based on pop...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2011