Dynamic Transit Path Choice Modelling for a Traveller Tool with ATIS and Trip Planner (original) (raw)

Individual path choice modeling in a pre-trip planner for transit networks with ATIS.

Proceedings of the 11th European Transport Congress, 2013

The paper presents the results obtained by some tests carried out for setting up a single-user pre-trip path choice model for multi-service transit networks. The model is a component of a new Advanced Traveler Advisory Tool, able to suggest to each user the best paths according to his/her personal preferences through the estimation of personal model parameters. These parameters are defined using a two-step procedure (initialization and up-dating process). The tests gave us some indications on the types of model to be used, and on the performances that can be reached in each step.

An advanced traveller advisor tool based on individual preferences

This paper presents some theoretical and operative aspects of TVPTA (Tor Vergata Personal Travel Advisor), an Advanced Traveller Advisory Tool (ATAT) under development at the Transport Centre of the “Tor Vergata” University of Rome. It should be able to assist users travelling on multimodal networks, suggesting the best paths according to their personal preferences. Such paths are individuated on the basis of the estimation of a perceived path utility formalised within the Random Utility Theory. The first part of this paper illustrates the user needs, the logical and the functional architecture of TVPTA; it also includes the transit modelling framework to provide personalized pre-trip information and the learning process to capture individual preferences. The second part describes an implementation example of TVPTA concepts in the metropolitan area of Rome (Italy).

Individual behavioural models for personal transit pre-trip planners

This paper presents the results of an in-progress research project aiming to define an advanced trip planner for transit networks. Starting from the description of user needs and logical architecture of the trip planner, the paper describes the module to support the user with pre-trip information based on his/her personal preferences. In particular the theoretical aspects of the individual, instead of user group (aggregate), path choice modelling used to support path choice set individuation, path utility calculation and user preference learning process are defined. The theoretical framework has been applied and tested through some experiments carried out on the public transport network of the metropolitan area of Rome.

A Multimodal Trip Planning System With Real-Time Traffic and Transit Information

Journal of Intelligent Transportation Systems, 2012

Most transit trip planning systems are based on static schedules and generate trips that do not dynamically respond to delays in transit operation caused by traffic congestion or accidents. In addition, the driving-parking-then-transit travel mode is common in metropolitan areas. However, very few transit trip planners incorporate real-time transit data into this mode. This article describes a multimodal trip planning system for multiple modes: driving, transit, and driving-parking-then-transit. The system considers the real-time transit arrival time, which is estimated by a prediction model. Both Web-based and mobile phone-based clients are used to access the system. Case studies show that the multimodal trip planning system works well in real-life situations.

An Advanced Traveller Advisory Tool Based on Individual Preferences

Procedia - Social and Behavioral Sciences, 2014

This paper presents some theoretical and operative aspects of TVPTA (Tor Vergata Personal Travel Advisor), an Advanced Traveller Advisory Tool (ATAT) under development at the Transport Centre of the "Tor Vergata" University of Rome. It should be able to assist users travelling on multimodal networks, suggesting the best paths according to their personal preferences. Such paths are individuated on the basis of the estimation of a perceived path utility formalised within the Random Utility Theory. The first part of this paper illustrates the user needs, the logical and the functional architecture of TVPTA; it also includes the transit modelling framework to provide personalized pre-trip information and the learning process to capture individual preferences. The second part describes an implementation example of TVPTA concepts in the metropolitan area of Rome (Italy).

Route Plan Evaluation Method for Personalised Passenger Information Service

TRANSPORT, 2015

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 pr...

WISETRIP- International Multimodal Journey Planning and Delivery of Personalized Trip Information

Procedia - Social and Behavioral Sciences, 2012

WISETRIP † innovative Journey Planner provides multimodal trip information sourced from variant journey planners. It utilises a challenging-but simple-communications interface to smooth connection of heterogeneous planners without sacrificing functional sufficiency. Additionally, unique personalized services delivery is achieved; users select their trip, build personal schedule of notifications, configure alerts that assist trip execution and enable continuous validation of trip data. Variant user groups assessed WISETRIP and confirmed its contribution to trip planning and efficient time management. New project, "Enhanced WISETRIP" considers real-time events, mobile and social media extensions, geographical and modal expansion, environmental criteria, personal preferences and trip strategies.

Multimodal Public Transit Trip Planner with Real-time Transit Data

Procedia - Social and Behavioral Sciences, 2013

Trip planner is a smart travel assistance tool which provides pre-trip travel plan information to the commuter for the given origin and destination stops. It is built-up with information such as road network and vehicles' schedule from various transport agencies. The schedules are static and deviates much in actual due to delays caused by dwell time, traffic congestion and accidents etc. Therefore, many real-time trip planners were developed to produce more accurate plans in terms of time and transit vehicles which use data from Global Positioning System (GPS) enabled vehicles. However, the methodologies for vehicle positioning in real-time, dealing with interrupted GPS signals and just-in-time update of transit network is still not crystallized. Mostly the vehicle positioning is handled by a third party. In addition, most of the real-time planners do not consider arterial routes. In this paper we present development of a multimodal intracity transit trip planner using public transport. It incorporates the delays into the transit network at real-time to minimize the gap of our prediction model. Kshortest path algorithm is being used to compute multi-criterion optimal plans. Here we consider both delays in all routes including arterial ones and frequently missing GPS signals. Our system handles all these with some heuristics and simulation. Besides the web interface, trip planning can also be done by sending Short Messaging Service (SMS) from any mobile phone to the server. The results have shown that the system produces plans which are acceptable in terms of response time, feasibility and accuracy.

Personalized Mobile City Transport Advisory System

Information and Communication Technologies in Tourism 2009, 2009

Mobile devices are becoming an inseparable part of our lives and personalized location-based mobile services are gaining more and more popularity. The scope of this paper is to illustrate the design choices, the implementation, and the testing, of a personalized mobile city transport advisory system (PECITAS), built for the citizens and city guests of Bolzano, Italy. Using PECITAS the user can obtain, directly on his mobile phone, recommendations for personalised paths between two arbitrary points in the city. The paths are illustrated by listing the various connections that the user must take to reach the destination using public transport means and walking. The recommendations are selected in a personalized way, using a knowledge-based recommendation technology, and for each user the suggestions are computed according to their travel-related preferences. The concepts of travel and user profiles are introduced in order to rank different routes in the city and provide the top ranked to a user. PECITAS has been evaluated with respect to its suitability and efficiency in solving the routing problem showing that it can become a useful tool for city visitors and citizens.

STIS: Smart Travel Planning Across Multiple Modes of Transportation

2007 IEEE Intelligent Transportation Systems Conference, 2007

Travellers require information on individual transport systems when planning a journey. Many transportrich urban environments contain numerous underlying transport infrastructures, offering a traveller various ways to complete the journey. This paper presents the Smart Traveller Information Service, a system designed to offer travellers an easy to use and efficient means of planning journeys in an otherwise complex multi-modal transport environment. The Smart Traveller Information Service bridges the coordination gap between the available transport systems (both public and private), and hides the complexity of the travel planning process from the user. This allows travellers to construct detailed journey plans without concerning themselves with the often heterogeneous and disjoint nature of the available transport facilities.