Route Plan Evaluation Method for Personalised Passenger Information Service

Abstract

Due to changing expectations of characteristics of mobility demands, public transportation users increasingly require a reduction of both the preparation and travel time, an easier and more pleasant travelling experience as well as route plans based on reliable data. Both international and domestic research is widely concerned with route planning optimization. Exemplary assistance applications are already in operation, but they are only semi-occasionally and slightly personalized. Consequently, there is potential for significant research and development in this area. Our developed method and algorithm evaluates the routes based on the personalised user settings and in this way, the ideal routes can be determined. User preferences are represented in evaluation criteria. The algorithm also manages network modifications and often-changing user preferences. The novelty of our algorithm lies in the more realistic evaluation of the routes appreciably considering both the exact physical properties of the infrastructure and the users' detailed personal preferences.

Why Public Bus is a Less Attractive Mode of Transport: A Case Study of Putrajaya, Malaysia

“…One car user mentioned her confusion when boarding a bus because there was no information available at the bus stop or on the bus. Many researchers (Chorus et al 2013;Földes and Csiszár 2015) highlighted that the availability of information on public transport (e.g. router planner application based on real time data) could influence the decision regarding which mode of transport to use because, according to Csiszar (2013), user's personal preference is an important factor in the determining the mode of transport.…”

Multiple Criteria Evaluation and the Inverse Hierarchy Model for Justifying the Choice of Rail Transport Mode

“…This model considers speed limitation of rail vehicles and time of travel. Földes and Csiszár [27] offered a method of route planning evaluation. In Russia, railway workers are encouraged to use innovations designed to increase the efficiency and quality of the companies' management system [28].…”

Personalised information services for bikers

“…The experiences gained from our related previous research activities and from the up-to-date scientific results published in high quality journals. Our previous activity includes functions of applications aiding travel modes: public transport and walking (Földes and Csiszár, 2015), parking (Cserháti and Csiszár, 2016) and air transport (Karádi et al, 2015). Several scientific papers and studies have been published pertaining to bikers' behaviour, attributes of bikers/cycling and route choice.…”