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Computing Multimodal Journeys in Practice [chapter]

Daniel Delling, Julian Dibbelt, Thomas Pajor, Dorothea Wagner, Renato F. Werneck
2013 Lecture Notes in Computer Science  
We study the problem of finding multimodal journeys in transportation networks, including unrestricted walking, driving, cycling, and schedule-based public transportation.  ...  We propose algorithms to compute a full Pareto set and then score the solutions in a postprocessing step using techniques from fuzzy logic, quickly identifying the most significant journeys.  ...  The ultimate goal is to compute multicriteria multimodal journeys on a global scale in real time.  ... 
doi:10.1007/978-3-642-38527-8_24 fatcat:t52np26dtng7fkj22xryaotniy

Multimodal Dynamic Journey-Planning

Kalliopi Giannakopoulou, Andreas Paraskevopoulos, Christos Zaroliagis
2019 Algorithms  
In this paper, a new model, known as the multimodal dynamic timetable model (DTM), is presented for computing optimal multimodal journeys in schedule-based public transport systems.  ...  in case of delays of scheduled-based vehicles.  ...  The funding agents had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.  ... 
doi:10.3390/a12100213 fatcat:gsth2m5kk5ddfp4ycnm3tjopxi

Generalised time-dependent graphs for fully multimodal journey planning

Jan Hrncir, Michal Jakob
2013 16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013)  
We solve the fully multimodal journey planning problem, in which journey plans can employ any combination of scheduled public transport (e.g., bus, tram and underground), individual (e.g., walk, bike,  ...  and mode combinations permitted in generated journey plans.  ...  We use the term fully multimodal in order to stress that we consider modes and combinations thereof that go beyond what is supported in existing multimodal journey planners.  ... 
doi:10.1109/itsc.2013.6728545 dblp:conf/itsc/HrncirJ13 fatcat:n5fkvcoikbatbaemxuq4jaycsi

Route Planning in Transportation Networks [chapter]

Hannah Bast, Daniel Delling, Andrew Goldberg, Matthias Müller-Hannemann, Thomas Pajor, Peter Sanders, Dorothea Wagner, Renato F. Werneck
2016 Lecture Notes in Computer Science  
For road networks, we show that one can compute driving directions in milliseconds or less even at continental scale.  ...  The multimodal route planning problem, which seeks journeys combining schedule-based transportation (buses, trains) with unrestricted modes (walking, driving), is even harder, relying on approximate solutions  ...  Multimodal Journey Planning We now consider journey planning in a multimodal scenario.  ... 
doi:10.1007/978-3-319-49487-6_2 fatcat:zbg272ftdfempady3cjynh6q4e

An Eco-Friendly Multimodal Route Guidance System for Urban Areas Using Multi-Agent Technology

Abdallah Namoun, Ali Tufail, Nikolay Mehandjiev, Ahmed Alrehaili, Javad Akhlaghinia, Evtim Peytchev
2021 Applied Sciences  
Subsequently, two real user trials were carried out in Nottingham (United Kingdom) and Sofia (Bulgaria) to show the practicality and ease of use of our multimodal travel information system in providing  ...  Our validation results demonstrate the effectiveness of personalized multimodal route guidance in inducing a positive travel behavior change and the ability of the agent-based route planning system to  ...  Acknowledgments: We would like to acknowledge and thank the participants of the field trials in Nottingham (UK) and Sofia (Bulgaria) for taking part in this research.  ... 
doi:10.3390/app11052057 fatcat:n5haqzck6re57gegs66bse76oa

Route Planning in Transportation Networks [article]

Hannah Bast, Daniel Delling, Andrew Goldberg, Matthias Müller-Hannemann, Thomas Pajor, Peter Sanders, Dorothea Wagner, Renato F. Werneck
2015 arXiv   pre-print
For road networks, we show that one can compute driving directions in milliseconds or less even at continental scale.  ...  The multimodal route planning problem, which seeks journeys combining schedule-based transportation (buses, trains) with unrestricted modes (walking, driving), is even harder, relying on approximate solutions  ...  Multimodal Journey Planning We now consider journey planning in a multimodal scenario.  ... 
arXiv:1504.05140v1 fatcat:ox42rhvuynd5loq6dljhnfecvu

Towards Smart and Sustainable Multimodal Public Transports Based on a Participatory Ecosystem

Nic Volanschi
2016 2016 Intl IEEE Conferences on Ubiquitous Intelligence & Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People, and Smart World Congress (UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld)  
This smart assistance definitely improves the passenger comfort and streamlines their trips, especially in case of infrastructure incidents and/or multimodal trips.  ...  This paper presents ongoing work towards smarter and more sustainable multimodal transports based on a full-duplex ecosystem in which passengers and transport operators actively exchange information and  ...  Thanks also go to Charles Consel, as well as other member of the Phoenix team, for fruitful discussions that helped in orienting and shaping the discourse.  ... 
doi:10.1109/uic-atc-scalcom-cbdcom-iop-smartworld.2016.0151 dblp:conf/uic/Volanschi16 fatcat:4x3wllnefnabpfl2axb6oavtea

Cognitive computing journey

David Nahamoo
2014 Proceedings of the first workshop on Parallel programming for analytics applications - PPAA '14  
While the journey has been difficult and slow, the progress in Machine Learning, Optimization Techniques and advancement in Deep Belief Networks offers promising ways to engineer cognitive systems.  ...  The science behind cognitive computing seeks to develop systems that emulate human brain functions such as perception, knowledge accumulation, goal planning, and logical inference.  ...  He provides technical direction for Conversational and Multimodal Interaction, Speech-To-Text, and Speaker Verification Technologies at IBM Research Labs worldwide.  ... 
doi:10.1145/2567634.2567646 dblp:conf/ppopp/Nahamoo14 fatcat:qu5luucx6ffk5hp2wuqwrkkh34

Critical Review of Time-Dependent Shortest Path Algorithms: A Multimodal Trip Planner Perspective

Bradley Casey, Ashish Bhaskar, Hao Guo, Edward Chung
2014 Transport reviews  
must be considered when choosing one or more of them to implement in a multimodal trip planner.  ...  A multimodal trip planner that produces optimal journeys involving both public transport and private vehicle legs has to solve a number of shortest path problems, both on the road network and the public  ...  required in the multimodal trip planner.  ... 
doi:10.1080/01441647.2014.921797 fatcat:o7nugjcffnhmbpslnmuulu3oze

Special Issue on "Algorithm Engineering: Towards Practically Efficient Solutions to Combinatorial Problems"

Mattia D'Emidio, Daniele Frigioni
2019 Algorithms  
, combinatorial aspects of scientific computing, and computational problems in the natural sciences or engineering.  ...  In this regard, we solicited contributions from all most prominent areas of applied algorithmic research, which include but are not limited to graphs, databases, computational geometry, big data, networking  ...  authors for submitting their high-quality work to this special issue, the reviewers for their timely, constructive comments, and the editorial staff of the MDPI journal Algorithms for their assistance in  ... 
doi:10.3390/a12110229 fatcat:gf7jx6brtzdcjarzxm5zw4leqe

Linking Multimodal Traveller Information Services for Transnational Journey Planning

Bettina Neuhäuser, Alexander Hausmann, Domokos Esztergár-Kiss, Tamás Tettamanti, Sorin Dumitrescu
2018 Zenodo  
seamless travel information provided in one integrated journey plan.  ...  The above mentioned deficiency is tackled by an international consortium of journey planner- and transport operators in the frame of the INTERREG project "LinkingDanube".  ...  WISETRIP -International Multimodal Journey Planning and Delivery of Personalized Trip Information, Procedia Social and Behavioral Sciences, Volume 48., 2012, pp. 1294-1303.  ... 
doi:10.5281/zenodo.1487532 fatcat:mako2waf55fsldrr6efgu74r54

A Hybrid Method for Traffic Flow Forecasting Using Multimodal Deep Learning

Shengdong Du, Tianrui Li, Xun Gong, Shi-Jinn Horng
2020 International Journal of Computational Intelligence Systems  
In this work, we propose a hybrid multimodal deep learning method for short-term traffic flow forecasting, which can jointly and adaptively learn the spatialtemporal correlation features and long temporal  ...  Traffic congestion forecasting is increasingly dependent on a variety of sensors and related data acquisition equipment to collect the relevant data, such as traffic, speed, journey time, density, weather  ...  In our experiment, three modality data (flow, speed and journey time) are used, which can be set dynamically according to the actual data in practical application.  ... 
doi:10.2991/ijcis.d.200120.001 fatcat:6jwiljbhmneaxkcuxw2b6ug2ku

A Longitudinal Pilot Study to Evaluate Non-visual Icons in a Mobile Exertion Application [chapter]

Huimin Qian, Ravi Kuber, Andrew Sears
2011 Lecture Notes in Computer Science  
Findings revealed that participants were able to respond most effectively to multimodal icons to modify their pace over a two week period.  ...  To extend previous work, we aimed to identify changes in walking behavior over time, and to determine the efficacy of non-visual cues presented via the phone.  ...  Multimodal icons were self-selected for presentation in seven out of the ten trials.  ... 
doi:10.1007/978-3-642-23768-3_57 fatcat:7fb6ivowqngzfndpappuowcy6i

Ride2Rail: Integrating ridesharing for attractive multimodal rail journeys

David Golightly, Marco Comerio, Cristian Consonni, Carlo Vaghi, Gabriele Pistilli, Giuseppe Rizzi, Guido Di Pasquale, Roberto Palacin, Ludovico Boratto, Mario Scrocca
2022 Zenodo  
This paper presents an overview of the Ride2Rail project, enabling 'Easy use for all' of rail through ridesharing and carpooling as part of a multimodal journey.  ...  Ride2Rail has the overall objective of developing an innovative framework for intelligent multimodal mobility, by facilitating the efficient combination of flexible and crowdsourced transport services,  ...  Ride2Rail addresses the current challenges of identifying criteria for multimodal travel planning addressing the existing barriers in Ride Sharing practice, developing travel scenarios and testing related  ... 
doi:10.5281/zenodo.6397623 fatcat:xxhoftm2vbchlf62uswweoebjm

An extension of a fuzzy ontology for flexible querying

Nouredine Tamani, Ludovic Lietard, Daniel Rocacher
2011 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011)  
This tree and its property of propagation of degrees are the basic theoretical elements of our application, which consists in querying of a multimodal transport information system which is embedded in  ...  In this paper, we propose a personalized approach for flexible querying of information systems.  ...  In practice, travelers are more interested in information about available networks, timetables and services.  ... 
doi:10.1109/fuzzy.2011.6007307 dblp:conf/fuzzIEEE/TamaniLR11 fatcat:gzxolddi7ragroopbxcgwttsfm
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