Trip Planner

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The Experts below are selected from a list of 972 Experts worldwide ranked by ideXlab platform

Andre Van Kets - One of the best experts on this subject based on the ideXlab platform.

Amer Shalaby - One of the best experts on this subject based on the ideXlab platform.

  • Survey of Cross-Regional Intermodal Passenger Travel: Joint Revealed Preference–Stated Preference Survey Integrated with a Multimodal Trip Planner Tool
    Transportation Research Record, 2015
    Co-Authors: Mohamed S. Mahmoud, Khandker Nurul Habib, Amer Shalaby
    Abstract:

    This paper presents an investigation of the mode choice behavior of cross-regional commuters in the greater Toronto and Hamilton area of Ontario, Canada. A survey of cross-regional intermodal passenger travel (called SCRIPT) was developed and conducted during the spring and the fall of 2014. SCRIPT collects data on respondents’ revealed preference in daily commuting Trips to pivot each respondent’s mode choice stated preference experiment separately. An innovative multimodal Trip Planner tool was developed to generate feasible travel options for each stated preference experiment with information on household auto ownership level, proximity to transit, work start time, and total travel time from home to work, as well as predeveloped discrete choice models to identify access station locations of intermodal travel modes. The stated preference experiments were based on the D-efficient design technique. The survey used 1,203 randomly selected cross-regional commuters. The paper reports on a mode choice model e...

  • survey of cross regional intermodal passenger travel joint revealed preference stated preference survey integrated with a multimodal Trip Planner tool
    Transportation Research Record, 2015
    Co-Authors: Mohamed S. Mahmoud, Khandker Nurul Habib, Amer Shalaby
    Abstract:

    This paper presents an investigation of the mode choice behavior of cross-regional commuters in the greater Toronto and Hamilton area of Ontario, Canada. A survey of cross-regional intermodal passenger travel (called SCRIPT) was developed and conducted during the spring and the fall of 2014. SCRIPT collects data on respondents’ revealed preference in daily commuting Trips to pivot each respondent’s mode choice stated preference experiment separately. An innovative multimodal Trip Planner tool was developed to generate feasible travel options for each stated preference experiment with information on household auto ownership level, proximity to transit, work start time, and total travel time from home to work, as well as predeveloped discrete choice models to identify access station locations of intermodal travel modes. The stated preference experiments were based on the D-efficient design technique. The survey used 1,203 randomly selected cross-regional commuters. The paper reports on a mode choice model e...

B Allard - One of the best experts on this subject based on the ideXlab platform.

  • Can Trip Planner Log Files Analysis Help in Transit Service Planning
    The Journal of Public Transportation, 2005
    Co-Authors: Martin Trépanier, Robert Chapleau, B Allard
    Abstract:

    Transit Trip Planners are now found on most transit authority websites. This feature gives transit users a full itinerary from a point of origin to a destination. The web service on which the Trip Planner is installed usually stores usage logs on a daily basis.Log files contain data on origins, destinations, calculated paths, and other website entries. The purpose of this article is to determine whether the analysis of Trip Planner log files can help to improve transit service by providing better knowledge on transit users. A website oriented analysis and a transit oriented analysis based on 4 years of observations on the Montreal Transit Commission website are presented. Results show that, even though not all transit users have access to the Internet or use the Planner regularly, log files can be useful for identifying new locations to be assessed by a transit system for better understanding user behaviors, and for guiding updates of the geographic information system and the Trip Planner itself.

Luca Rosati - One of the best experts on this subject based on the ideXlab platform.

  • Individual Behavioural Models for Personal Transit Pre-Trip Planners
    Transportation Research Procedia, 2015
    Co-Authors: Agostino Nuzzolo, Antonio Comi, U Crisalli, Luca Rosati
    Abstract:

    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.

  • Advanced Trip Planners for transit networks: some theoretical and experimental aspects of pre-Trip path choice modeling
    Advances in Intelligent Systems and Computing, 2014
    Co-Authors: Agostino Nuzzolo, Antonio Comi, U Crisalli, Luca Rosati
    Abstract:

    The chapter reports the first results of a research project for the definition of an advanced Trip Planner for transit networks. The project at the current stage has developed the module to support the user with personalized pre-Trip information based on his/her preferences. The first part of the chapter describes the user needs and the logical architecture of the Trip Planner. The second part deals with the theoretical aspects of the path choice model used to support the path choice set individuation, the path utility calculation and the user preference learning procedure. In order to apply the theoretical framework and to show the benefits of the proposed approach, some experimental results of a test case on the transit system of the metropolitan area of Rome are presented.

  • an advanced pre Trip Planner with personalized information on transit networks with atis
    International Conference on Intelligent Transportation Systems, 2013
    Co-Authors: Agostino Nuzzolo, Antonio Comi, U Crisalli, Luca Rosati
    Abstract:

    The paper presents the first results of a research aiming to develop a transit Trip Planner to support the user with personalized pre-Trip information. The first part describes the user needs and the architecture of the system. The second part deals with the modeling framework implemented to provide the best path alternatives from the traveler's utility point of view according to real-time data and personal user preferences. Finally, considerations on operative aspects based on some experimental evidences are presented.

  • ITSC - An advanced pre-Trip Planner with personalized information on transit networks with ATIS
    16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013), 2013
    Co-Authors: Agostino Nuzzolo, Antonio Comi, U Crisalli, Luca Rosati
    Abstract:

    The paper presents the first results of a research aiming to develop a transit Trip Planner to support the user with personalized pre-Trip information. The first part describes the user needs and the architecture of the system. The second part deals with the modeling framework implemented to provide the best path alternatives from the traveler's utility point of view according to real-time data and personal user preferences. Finally, considerations on operative aspects based on some experimental evidences are presented.

  • dynamic transit path choice modelling for a traveller tool with atis and Trip Planner
    ITS European Congress: Real solutions for real needs, 2013
    Co-Authors: Agostino Nuzzolo, Antonio Comi, U Crisalli, Luca Rosati
    Abstract:

    The paper reports the first results of a research project for the definition of a Traveller Tool for multimodal networks. The system, designed for mobile applications, gives dynamic real time information to the user for the best path choice from the traveller’s utility point of view. The project at the current stage has developed a Trip Planner to support the user on transit networks with personalised pre-Trip information based on user’s preferences. The first part the paper describes the user needs and the architecture of the transit component of the system. The second part deals with the dynamic path choice model used to support the path choice set individuation and ranking, and with the user preference learning procedure. Finally, experimental applications of the system to support transit users with pre-Trip personalised information are presented.

Lei Chen - One of the best experts on this subject based on the ideXlab platform.

  • Trip Planner Over Probabilistic Time-Dependent Road Networks
    IEEE Transactions on Knowledge and Data Engineering, 2014
    Co-Authors: Xiang Lian, Lei Chen
    Abstract:

    Recently, the management of transportation systems has become increasingly important in many real applications such as location-based services, supply chain management, traffic control, and so on. These applications usually involve queries over spatial road networks with dynamically changing and complicated traffic conditions. In this paper, we model such a network by a probabilistic time-dependent graph (PT-Graph), whose edges are associated with uncertain delay functions . We propose a useful query in the PT-Graph, namely a Trip Planner query (TPQ), which retrieves Trip plans that traverse a set of query points in PT-Graph, having the minimum traveling time with high confidence. To tackle the efficiency issue, we present the pruning methods time interval pruning and probabilistic pruning to effectively rule out false alarms of Trip plans. Furthermore, we design a pre-computation technique based on the cost model and construct an index structure over the pre-computed data to enable the pruning via the index. We integrate our proposed pruning methods into an efficient query procedure to answer TPQs. Through extensive experiments, we demonstrate the efficiency and effectiveness of our TPQ query answering approach.

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