Marjan Lep

Combining the grid‐based spatial planning and network‐based transport planning

Abstract Border regions of EU countries are confronted with changes of spatial and economical development. The lack of border crossing strategic information system for regional planning purposes reflects in non‐intense cooperation in the field of regional development strategies harmonization. The article presents the methodology developed during Interreg III B project REDECON. Grid‐based database with GIS interface, merging socio‐economic, environmental and spatial data with vector‐based network accessibility data, what enable the public planning departments to analyze and simulate different policy measures concerning transport. The article is focused on the modifications of (during project REDECON) developed methodology, which enable besides cross‐border spatial analysis also analysis of current status of public transport demand and supply for finding the areas, where the supply of public transport services does not reach the demand for public transport services. It describes the methodology for selectin...

Increasing the Capacities of Cable Cars for Use in Public Transport

This paper examines the advantages and disadvantages of cable cars in public transport within urban areas. The advantages of cable car transport compared to other modes of transport are its quiet operation with an environmentally-acceptable electric drive and the possibility of transporting passengers above the ground, which can provide additional transport dimensions within urban centers. However, cable cars have some disadvantages, especially their smaller capacities in relation to other modes of transport within the urban environment. Todays built cable cars have capacities up to 2,000 persons/h for aerial tramways (or jig-back ropeways) and up to 4,000 persons/h for gondolas. Solutions are introduced in this paper as to how the current cable car technologies can increase the capacities of these devices. This can be achieved by concentrating on the vehicles (cabins) on gondola lines and by using multiple platforms at starting stations and final stations. It also provides a solution for intermediate stations, at which vehicles can be stopped independent of other vehicles on the line.

Bus arrival time prediction based on network model

Abstract Providing accurate information on bus arrival and departure times at bus stops is one of the key parameters of high-quality public transport today. This paper proposes a model for the real-time prediction of arrival times at bus stops. The proposed model is based on information about the current location of the bus, the classification of runs into time periods with respect to the historical data, and the data model of the bus network. We discuss four types of data models: a data model defined by bus stops and crossings of the road network, a data model defined by bus stops, a data model which addresses the individual parts of the network in relation to the potential barriers that affect the travel speed of buses, and a data model with fixed-length links of the bus network. Travel times are classified according to the average travel speed into four time periods: morning, afternoon, early morning or late evening, and weekend. The results of the analysis showed that both the data model of the bus network and classifying runs into time periods affect the accuracy of predictions of bus arrival times at bus stops.

The Integrated Education of Transportation Engineers in Fields of Computer Graphics, Descriptive Geometry and Technical Drawings

The application of computer graphic methods, particularly dynamic analysis of images like automatic vehicle classification (AVC), automatic vehicle identification (AVI) thru automatic license plate recognition (LPR), automatic incident and accident detection (AID), monitoring and characterization of linear traffic flows (road traffic) or stochastic traffic movements (pedestrian movements, ski slopes) etc. is widely spread in the transportation engineering and is becoming more and more important.