Highway operators around the world are using automated vehicle identification (AVI)-based techniques as a technological input for travel time estimation on highways. Various AVI technologies provide various travel time measurement samples: some of them are able to identify only personal cars (e.g. tolling tags), while others provide mixed samples of all vehicle classes (e.g. license plate matching). As the adequate information on travel times should concern the personal cars, the influence of heavy vehicles (HVs) should be eliminated from the samples, which is not feasible with the use of existing travel time estimation algorithms. It was observed that also during congestion travel times of personal cars and HVs remain dispersed. The motivation for the present study was to introduce an algorithm that would be able to exclude the influence of slower HVs in travel time estimation for technologies, providing mixed samples of travel time measurements. This was achieved by the use of robust statistics. The results of the study could be used by all highway agencies and operators who are encountering problems with unreasonably extended estimations of travel times because of the presence of slow HVs in the traffic flow.
COBISS.SI-ID: 6803553
The goal of this chapter has been to present, explain and interpret commuting habits in Slovenia. Based on this case, it has been shown how the remnants of the socialist past, post-socialist forces and the geographical characteristics of space are creating today’s commuting patterns. The remnants of the communist past include various factors; for example, the obligatory reimbursement of employees’ cost of travelling to work. Other factors depend on the current state of the capitalist order (e.g.,, consumerism, the rising standard of living and passengers’ travel habits) and are characteristic not only of Slovenia, but are global. For other factors, history and social trajectories are less relevant than the geographical specifics of Slovenia itself (e.g., a specific spatial development, policies and political decisions). Together these factors have been shaping commuting patterns in Slovenia which in many respects are worrisome and unsustainable. We believe that to fully understand the implications of post-socialist everyday mobility, more critical qualitative investigations of daily commuting practices and experiences, from different territories and from different perspectives, are necessary.
COBISS.SI-ID: 37653549
University of Maribor is carrying out testing and feasibility study on real time passenger information (RTPI) in the city of Maribor. Methodology for bus stop hierarchy is performed to set RTPI panel location. During 3 month testing period, accuracy of the intelligent passenger system and user needs are analyzed. Additional cost benefit analysis and possibilities for full scale implementation are elaborated. The results of the pilot within EU South-East European (SEE) project ATTAC (Attractive public transport for accessible cities) are presented as lessons learned in project output - mobility toolbox. Mobility toolbox is a collection of good strategies/tools in form of policy recommendation for providing seamless travel of local citizens and commuter's like using public transport in South-East European cities.
COBISS.SI-ID: 18250262