Path selection and route preference in human navigation: A progress report

Journal of experimental psychology: Human Perception and performance

Jong, R. D., Coles, M. G. H., Logan, G. D., & Gratton, G. (1987) · Journal of Sound and Vibration · doi:10.1016/0022-460x(87)90423-8 · Cited by 5,411 · see citing works

Journal of Experimental Psychology: Human Learning and Memory

Bourne, L. E. (1977) · Cited by 4,328 · see citing works

Journal of Experimental Psychology: Human Perception and Performance.

Intons-Peterson, M. J. (1981) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037/h0078016 · Cited by 3,261 · see citing works

Visual space perception and visually directed action.

Loomis, J. M., Silva, J. A. D., Fujita, N., & Fukusima, S. S. (1992) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037//0096-1523.18.4.906 · Cited by 691 · see citing works

Cognitive maps: What are they and why study them?

Kitchin, R. (1994) · Journal of Environmental Psychology · doi:10.1016/s0272-4944(05)80194-x · Cited by 657 · see citing works

Environment and Cognition

Tuan, Y., & Ittelson, W. H. (1974) · Geographical Review · doi:10.2307/213804 · Cited by 490 · see citing works

Reference points in spatial cognition.

Sadalla, E. K., Burroughs, W. J., & Staplin, L. J. (1980) · Journal of Experimental Psychology Human Learning & Memory · doi:10.1037/0278-7393.6.5.516 · Cited by 340 · see citing works

Place recognition and wayfinding: Making sense of space

Golledge, R. G. (1992) · Geoforum · doi:10.1016/0016-7185(92)90017-x · Cited by 226 · see citing works

Theoretical and Computational Links between the p‐Median, Location Set‐covering, and the Maximal Covering Location Problem

Church, R. L., & ReVelle, C. (1976) · Geographical Analysis · doi:10.1111/j.1538-4632.1976.tb00547.x · Cited by 191 · see citing works

Cognitive Mapping of Large-Scale Environments

Gärling, T., Böök, A., & Lindberg, E. (1984) · Environment and Behavior · doi:10.1177/0013916584161001 · Cited by 179 · see citing works

DEFINING THE CRITERIA USED IN PATH SELECTION.Preprint

Golledge, R. G. (1995) · RePEc: Research Papers in Economics · Cited by 48 · see citing works

Constructing Cognitive Maps With Orientation Biases

Lloyd, R. E., & Cammack, R. G. (2007) · Springer eBooks · doi:10.1007/978-0-585-33485-1_9 · Cited by 13 · see citing works

Network and Psychological Effects in Urban Movement

Hillier, B., & Iida, S. (2005) · Lecture notes in computer science · doi:10.1007/11556114_30 · Cited by 657 · see citing works

Space in Language and Cognition

Levinson, S. C. (2003) · Cambridge University Press eBooks · doi:10.1017/cbo9780511613609 · Cited by 399 · see citing works

The Secret Is To Follow Your Nose

Dalton, R. (2003) · Environment and Behavior · doi:10.1177/0013916502238867 · Cited by 349 · see citing works

Encoding Natural Movement as an Agent-Based System: An Investigation into Human Pedestrian Behaviour in the Built Environment

Turner, A., & Penn, A. (2002) · Environment and Planning B Planning and Design · doi:10.1068/b12850 · Cited by 348 · see citing works

Changing beliefs and memories through dream interpretation

Mazzoni, G. A. L., Loftus, E. F., Seitz, A. R., & Lynn, S. J. (1999) · Applied Cognitive Psychology · doi:10.1002/(sici)1099-0720(199904)13:2 · Cited by 102 · see citing works

The dynamic nature of cognition during wayfinding

Spiers, H. J., & Maguire, E. A. (2008) · Journal of Environmental Psychology · doi:10.1016/j.jenvp.2008.02.006 · Cited by 218 · see citing works

“Simplest” Paths: Automated Route Selection for Navigation

Duckham, M., & Kulik, L. (2003) · Lecture notes in computer science · doi:10.1007/978-3-540-39923-0_12 · Cited by 218 · see citing works

A computational approach to ‘The Image of the City’

Filomena, G., Verstegen, J. A., & Manley, E. (2019) · Cities · doi:10.1016/j.cities.2019.01.006 · Cited by 151 · see citing works

Desirable streets: Using deviations in pedestrian trajectories to measure the value of the built environment

Miranda, A. S., Fan, Z., Duarte, F., & Ratti, C. (2021) · Computers Environment and Urban Systems · doi:10.1016/j.compenvurbsys.2020.101563 · Cited by 143 · see citing works

A big data approach to understanding pedestrian route choice preferences: Evidence from San Francisco

Sevtsuk, A., Basu, R., Li, X., & Kalvo, R. (2021) · Travel Behaviour and Society · doi:10.1016/j.tbs.2021.05.010 · Cited by 138 · see citing works

Applications of deep learning in congestion detection, prediction and alleviation: A survey

Kumar, N., & Raubal, M. (2021) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2021.103432 · Cited by 124 · see citing works

Gaze behaviour during space perception and spatial decision making

Wiener, J. M., Hölscher, C., Büchner, S. J., & Konieczny, L. (2011) · Psychological Research · doi:10.1007/s00426-011-0397-5 · Cited by 111 · see citing works

Geo-EEG: Towards the Use of EEG in the Study of Urban Behaviour

Mavros, P., Austwick, M. Z., & Hudson‐Smith, A. (2016) · Applied Spatial Analysis and Policy · doi:10.1007/s12061-015-9181-z · Cited by 107 · see citing works

Mind the map! The impact of transit maps on path choice in public transit

Guo, Z. (2011) · Transportation Research Part A Policy and Practice · doi:10.1016/j.tra.2011.04.001 · Cited by 107 · see citing works

Use and interaction of navigation strategies in regionalized environments

Wiener, J. M., Schnee, A., & Mallot, H. A. (2004) · Journal of Environmental Psychology · doi:10.1016/j.jenvp.2004.09.006 · Cited by 104 · see citing works

Wayfinding Behaviors in Complex Buildings

Li, R. S., & Klippel, A. (2014) · Environment and Behavior · doi:10.1177/0013916514550243 · Cited by 105 · see citing works

Personalised routing for wheelchair navigation

Kasemsuppakorn, P., & Karimi, H. A. (2009) · Journal of Location Based Services · doi:10.1080/17489720902837936 · Cited by 101 · see citing works

International Conference on Spatial Information Theory

Dieberger, A. (1995) · ACM SIGWEB Newsletter · doi:10.1145/219608.219614 · Cited by 98 · see citing works

Multi-criteria, personalized route planning using quantifier-guided ordered weighted averaging operators

Nadi, S., & Delavar, M. R. (2011) · International Journal of Applied Earth Observation and Geoinformation · doi:10.1016/j.jag.2011.01.003 · Cited by 77 · see citing works

Semantic trajectory compression: Representing urban movement in a nutshell

Richter, K., Falko Schmid, A., & Laube, P. O. (2012) · Journal of Spatial Information Science · doi:10.5311/josis.2012.4.62 · Cited by 78 · see citing works

Identifying spatial interaction patterns of vehicle movements on urban road networks by topic modelling

Liu, K., Gao, S., & Lu, F. (2018) · Computers Environment and Urban Systems · doi:10.1016/j.compenvurbsys.2018.12.001 · Cited by 74 · see citing works

The role of urban configuration during disasters. A scenario-based methodology for the post-earthquake emergency management of Italian historic centres

Giuliani, F., Falco, A. D., & Cutini, V. (2020) · Safety Science · doi:10.1016/j.ssci.2020.104700 · Cited by 73 · see citing works

Using Free and Proprietary Data to Compare Shortest-Path Lengths for Effective Pedestrian Routing in Street Networks

Zielstra, D., & Hochmair, H. H. (2012) · Transportation Research Record Journal of the Transportation Research Board · doi:10.3141/2299-05 · Cited by 67 · see citing works

Spatial Behavior in Transportation Modeling and Planning

Golledge, R. G., & rling, T. G. (2002) · New directions in civil engineering · doi:10.1201/9781420042283.ch3 · Cited by 66 · see citing works

Integrated spatial reasoning in geographic information systems: combining topology and direction

Egenhofer, M. J., & Sharma, J. (1996) · Cited by 66 · see citing works

Estimating Pedestrian Flows on Street Networks

Sevtsuk, A. (2021) · Journal of the American Planning Association · doi:10.1080/01944363.2020.1864758 · Cited by 64 · see citing works

North is up(hill): Route planning heuristics in real-world environments

T. Brunyé, T., R. Mahoney, C., L. Gardony, A., & A. Taylor, H. (2010) · Memory & Cognition · doi:10.3758/mc.38.6.700 · Cited by 63 · see citing works

Modelling people’s perceived scene complexity of real-world environments using street-view panoramas and open geodata

Guan, F., Fang, Z., Wang, L., Zhang, X., Zhong, H., & Huang, H. (2022) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2022.02.012 · Cited by 62 · see citing works

Spatial cognition, mobility, and reproductive success in northwestern Namibia

Vashro, L., & Cashdan, E. (2015) · Evolution and Human Behavior · doi:10.1016/j.evolhumbehav.2014.09.009 · Cited by 59 · see citing works

The production of route directions: investigating conditions that favour conciseness in spatial discourse

Daniel, M., & Denis, M. (2003) · Applied Cognitive Psychology · doi:10.1002/acp.941 · Cited by 61 · see citing works

Measuring the impact of spatial network layout on community social cohesion: a cross-sectional study

Cooper, C., Fone, D. L., & Chiaradia, A. J. F. (2014) · International Journal of Health Geographics · doi:10.1186/1476-072x-13-11 · Cited by 57 · see citing works

Functions and applications of spatial cognition.

Montello, D. R., & Raubal, M. (2012) · American Psychological Association eBooks · doi:10.1037/13936-014 · Cited by 55 · see citing works

A framework for simulating large-scale complex urban traffic dynamics through hybrid agent-based modelling

Manley, E., Cheng, T., Penn, A., & Emmonds, A. (2013) · Computers Environment and Urban Systems · doi:10.1016/j.compenvurbsys.2013.11.003 · Cited by 53 · see citing works

Infrastructure-Independent Indoor Localization and Navigation

Winter, S., Tomko, M., Vasardani, M., Richter, K., Khoshelham, K., & Kalantari, M. (2019) · ACM Computing Surveys · doi:10.1145/3321516 · Cited by 52 · see citing works

Predicting pedestrian flow along city streets: A comparison of route choice estimation approaches in downtown San Francisco

Sevtsuk, A., & Kalvo, R. (2021) · International Journal of Sustainable Transportation · doi:10.1080/15568318.2020.1858377 · Cited by 49 · see citing works

The Genetic Code for Cities: Is It Simpler than We Think?

Hillier, B. (2011) · Springer eBooks · doi:10.1007/978-3-642-24544-2_8 · Cited by 49 · see citing works

Beyond the Shortest Route: A Survey on Quality-Aware Route Navigation for Pedestrians

Siriaraya, P., Wang, Y., Zhang, Y., Wakamiya, S., Jeszenszky, P., Kawai, Y., & Jatowt, A. (2020) · IEEE Access · doi:10.1109/access.2020.3011924 · Cited by 48 · see citing works

Seeing the Axial Line: Evidence from Wayfinding Experiments

Emo, B. (2014) · Behavioral Sciences · doi:10.3390/bs4030167 · Cited by 46 · see citing works

Choice set generation in multi-modal transportation networks

Fiorenzo-Catalano, M. S. (2007) · Research Repository (Delft University of Technology) · Cited by 46 · see citing works

The City as a Socio-technical System: A Spatial Reformulation in the Light of the Levels Problem and the Parallel Problem

Hillier, B. (2012) · Communications in computer and information science · doi:10.1007/978-3-642-29758-8_3 · Cited by 45 · see citing works

Environmental abstraction and path planning techniques for realistic crowd simulation

Paris, S., Donikian, S., & Bonvalet, N. (2006) · Computer Animation and Virtual Worlds · doi:10.1002/cav.136 · Cited by 43 · see citing works

AffectRoute – considering people’s affective responses to environments for enhancing route-planning services

Huang, H., Klettner, S., Schmidt, M., Gärtner, G., Leitinger, S., Wagner, A., & Steinmann, R. (2014) · International Journal of Geographical Information Systems · doi:10.1080/13658816.2014.931585 · Cited by 43 · see citing works

The method of selecting a preferred route based on subjective criteria

Seliverstov, Y. A., Seliverstov, S. A., Lukomskaya, O. Y., Nikitin, K. V., Grigoriev, V. A., & Выдрина, Е. О. (2017) · International Conference on Control in Technical Systems (CTS) · doi:10.1109/ctsys.2017.8109506 · Cited by 42 · see citing works

Context-Aware Indoor Navigation

Lyardet, F., Szeto, D. W., & Aitenbichler, E. (2008) · Lecture notes in computer science · doi:10.1007/978-3-540-89617-3_19 · Cited by 42 · see citing works

Learning to navigate: Experience versus maps

Meilinger, T., Frankenstein, J., & Bülthoff, H. (2013) · Cognition · doi:10.1016/j.cognition.2013.05.013 · Cited by 39 · see citing works

Understanding Human Navigation Using Network Analysis

Iyengar, S. R. S., Madhavan, C. E. V., Zweig, K. A., & Natarajan, A. (2012) · Topics in Cognitive Science · doi:10.1111/j.1756-8765.2011.01178.x · Cited by 38 · see citing works

Retracing evacuation strategy: A virtual reality game-based investigation into the influence of building’s spatial configuration in an emergency

Snopková, D., Ugwitz, P., Stachoň, Z., Hladík, J., Juřík, V., Kvarda, O., & Kubíček, P. (2021) · Spatial Cognition and Computation · doi:10.1080/13875868.2021.1913497 · Cited by 38 · see citing works

Walk This Way: Improving Pedestrian Agent-Based Models through Scene Activity Analysis

Crooks, A. T., Croitoru, A., Xu, L., Wise, S., Irvine, J. T. S., & Stefanidis, A. (2015) · ISPRS International Journal of Geo-Information · doi:10.3390/ijgi4031627 · Cited by 38 · see citing works

Spatial localization of closeness and betweenness measures: a self-contradictory but useful form of network analysis

Cooper, C. (2015) · International Journal of Geographical Information Systems · doi:10.1080/13658816.2015.1018834 · Cited by 37 · see citing works

Modelling the effect of landmarks on pedestrian dynamics in urban environments

Filomena, G., & Verstegen, J. A. (2021) · Computers Environment and Urban Systems · doi:10.1016/j.compenvurbsys.2020.101573 · Cited by 37 · see citing works

Cognitive Mapping, Travel Behavior, and Access to Opportunity

Mondschein, A. S., Blumenberg, E., & Taylor, B. D. (2006) · Transportation Research Record Journal of the Transportation Research Board · doi:10.1177/0361198106198500129 · Cited by 35 · see citing works

Route selection algorithm for Blind pedestrian

Kammoun, S., Dramas, F., Oriolaand, B., & Jouffrais, C. (2010) · International Conference on Control, Automation and Systems (ICCAS) · doi:10.1109/iccas.2010.5669846 · Cited by 34 · see citing works

Simulating travel paths of construction site workers via deep reinforcement learning considering their spatial cognition and wayfinding behavior

Kim, M., Ham, Y., Koo, C., & Kim, T. W. (2022) · Automation in Construction · doi:10.1016/j.autcon.2022.104715 · Cited by 34 · see citing works

Exploring the role of spatial cognition in predicting urban traffic flow through agent-based modelling

Manley, E., & Cheng, T. (2018) · Transportation Research Part A Policy and Practice · doi:10.1016/j.tra.2018.01.020 · Cited by 33 · see citing works

Nearby outdoor recreation modelling: An agent-based approach

Мorelle, К., Buchecker, M., Kienast, F., & Tobias, S. (2018) · Urban forestry & urban greening · doi:10.1016/j.ufug.2018.07.007 · Cited by 32 · see citing works

Spatial Analysis of Navigation in Virtual Geographic Environments

Ugwitz, P., Juřík, V., Heřman, L., Stachoň, Z., Kubíček, P., & Šašinka, Č. (2019) · Applied Sciences · doi:10.3390/app9091873 · Cited by 32 · see citing works

Electric vehicle charging station location determination with consideration of routing selection policies and driver’s risk preference

Yazdekhasti, A., Jazi, M. A., & Ma, J. (2021) · Computers & Industrial Engineering · doi:10.1016/j.cie.2021.107674 · Cited by 32 · see citing works

Pedestrian Navigation System in Mixed Indoor/Outdoor Environment - The NAVIO Project

Gärtner, G., Frank, A. U., & Retscher, G. (2004) · Cited by 31 · see citing works

Car navigation – computing routes that avoid complicated crossings

Krisp, J. M., & Keler, A. (2015) · International Journal of Geographical Information Systems · doi:10.1080/13658816.2015.1053485 · Cited by 31 · see citing works

The Influence of Map Design on Route Choice from Public Transportation Maps in Urban Areas

Hochmair, H. H. (2009) · The Cartographic Journal · doi:10.1179/000870409x12472347560623 · Cited by 31 · see citing works

How do users choose their routes in public transport? The effect of individual profile and contextual factors

Grison, É., Burkhardt, J., & Gyselinck, V. (2017) · Transportation Research Part F Traffic Psychology and Behaviour · doi:10.1016/j.trf.2017.08.011 · Cited by 31 · see citing works

The role of turns in pedestrian route choice: A clarification

Sevtsuk, A., & Basu, R. (2022) · Journal of Transport Geography · doi:10.1016/j.jtrangeo.2022.103392 · Cited by 31 · see citing works

Wayfinding in Natural and Urban Environments: A Comparative Study

Brosset, D., Claramunt, C., & Saux, É. (2008) · Cartographica The International Journal for Geographic Information and Geovisualization · doi:10.3138/carto.43.1.021 · Cited by 34 · see citing works

Pragmatic navigation: reactivity, heuristics, and search

Epstein, S. L. (1998) · Artificial Intelligence · doi:10.1016/s0004-3702(97)00083-0 · Cited by 30 · see citing works

Can cognitive inferences be made from aggregate traffic flow data?

Omer, I., & Jiang, B. (2015) · Computers Environment and Urban Systems · doi:10.1016/j.compenvurbsys.2015.08.005 · Cited by 28 · see citing works

Perception of urban subdivisions in pedestrian movement simulation

Filomena, G., Manley, E., & Verstegen, J. A. (2020) · PLoS ONE · doi:10.1371/journal.pone.0244099 · Cited by 28 · see citing works

An individual cognitive evacuation behaviour model for agent-based simulation: a case study of a large outdoor event

Tan, L., Wu, L., & Lin, H. (2015) · International Journal of Geographical Information Systems · doi:10.1080/13658816.2015.1030751 · Cited by 27 · see citing works

The Influence of Stadia and the Built Environment on the Spatial Distribution of Crime

Kurland, J., & Johnson, S. D. (2019) · Journal of Quantitative Criminology · doi:10.1007/s10940-019-09440-x · Cited by 25 · see citing works

Using street-view panoramas to model the decision-making complexity of road intersections based on the passing branches during navigation

Guan, F., Fang, Z., Zhang, X., Zhong, H., Zhang, J., & Huang, H. (2023) · Computers Environment and Urban Systems · doi:10.1016/j.compenvurbsys.2023.101975 · Cited by 25 · see citing works

A unified pedestrian routing model for graph-based wayfinding built on cognitive principles

Kielar, P. M., Biedermann, D. H., Kneidl, A., & Borrmann, A. (2017) · Transportmetrica A Transport Science · doi:10.1080/23249935.2017.1309472 · Cited by 24 · see citing works

Indoor Traveling Salesman Problem (ITSP) Path Planning

Yan, J., Sisi Zlatanova, B., Lee, J. B., & Liu, Q. (2021) · ISPRS International Journal of Geo-Information · doi:10.3390/ijgi10090616 · Cited by 23 · see citing works

Empirical characterisation of agents’ spatial behaviour in pedestrian movement simulation

Filomena, G., Kirsch, L., Schwering, A., & Verstegen, J. A. (2022) · Journal of Environmental Psychology · doi:10.1016/j.jenvp.2022.101807 · Cited by 23 · see citing works

Uncertainty-aware video visual analytics of tracked moving objects

Höferlin, M., Höferlin, B., Weiskopf, D., & Heidemann, G. (2011) · J. Spatial Inf. Sci. · doi:10.5311/josis.2010.2.1 · Cited by 26 · see citing works

Using wrist vibrations to guide hand movement and whole body navigation

Brock, A., Kammoun, S., Macé, M. J. ‐., & Jouffrais, C. (2014) · i-com · doi:10.1515/icom.2014.0026 · Cited by 23 · see citing works

Investigating the Effectiveness of the Least-Angle Strategy for Wayfinding in Unknown Street Networks

Hochmair, H. H. (2005) · Environment and Planning B Planning and Design · doi:10.1068/b31160 · Cited by 22 · see citing works

Incorporating Landmarks with Quality Measures in Routing Procedures

Elias, B., & Sester, M. (2006) · Lecture notes in computer science · doi:10.1007/11863939_5 · Cited by 21 · see citing works

Adaptable Path Planning in Regionalized Environments

Richter, K. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-03832-7_28 · Cited by 21 · see citing works

A novel path planning algorithm for visually impaired people

Nandini, D., & Seeja, K. R. (2017) · Journal of King Saud University - Computer and Information Sciences · doi:10.1016/j.jksuci.2017.03.005 · Cited by 21 · see citing works

Advanced multi-modal routing approach for pedestrians

Yu, H., & Lu, F. (2012) · International Conference on Consumer Electronics, Communications and Networks (CECNet) · doi:10.1109/cecnet.2012.6201641 · Cited by 20 · see citing works

Structural properties of the angular and metric street network's centralities and their implications for movement flows

Omer, I., & Kaplan, N. (2018) · Environment and Planning B Urban Analytics and City Science · doi:10.1177/2399808318760571 · Cited by 20 · see citing works

Perceived legibility in relation to path choice of commuters in central business district

Paydar, M., & Fard, A. K. (2016) · URBAN DESIGN International · doi:10.1057/udi.2016.7 · Cited by 20 · see citing works

Database support to data fusion automation

Antony, R. T. (1997) · Proceedings of the IEEE · doi:10.1109/5.554207 · Cited by 20 · see citing works

Strategies for Selecting Routes through Real-World Environments: Relative Topography, Initial Route Straightness, and Cardinal Direction

Brunyé, T. T., Collier, Z. A., Cantelon, J. A., Holmes, A., Wood, M. D., Linkov, I., & Taylor, H. A. (2015) · PLoS ONE · doi:10.1371/journal.pone.0124404 · Cited by 19 · see citing works

Evolving Direct Perception Models of Human Behavior in Building Systems

Turner, A., & Penn, A. (2007) · Springer eBooks · doi:10.1007/978-3-540-47064-9_39 · Cited by 19 · see citing works

Path planning under spatial uncertainty

Wiener, J. M., Lafon, M., & Berthoz, A. (2008) · Memory & Cognition · doi:10.3758/mc.36.3.495 · Cited by 19 · see citing works

A Heuristic for Multi-modal Route Planning

Bucher, D., Jonietz, D., & Raubal, M. (2016) · Lecture notes in geoinformation and cartography · doi:10.1007/978-3-319-47289-8_11 · Cited by 18 · see citing works

When in doubt follow your nose—a wayfinding strategy

Meilinger, T., Frankenstein, J., & Bülthoff, H. (2014) · Frontiers in Psychology · doi:10.3389/fpsyg.2014.01363 · Cited by 18 · see citing works

An analysis of the performance of a hierarchical wayfinding computational model using synthetic graphs

Car, A., Taylor, G., & Brunsdon, C. (2001) · Computers Environment and Urban Systems · doi:10.1016/s0198-9715(00)00036-3 · Cited by 18 · see citing works

Leveraging human behavior models to predict paths in indoor environments

Tastan, B., & Sukthankar, G. (2011) · Pervasive and Mobile Computing · doi:10.1016/j.pmcj.2011.02.003 · Cited by 17 · see citing works

Human-centred Mobile Pedestrian Navigation Systems

Garnter, G., Huang, H., Millonig, A., Schmidt, M., & Ortag, F. (2011) · Mitteilungen der Österreichischen Geographischen Gesellschaft · doi:10.1553/moegg153s237 · Cited by 16 · see citing works

A Location and Action-Based Model for Route Descriptions

Brosset, D., Claramunt, C., & Saux, É. (2007) · Springer eBooks · doi:10.1007/978-3-540-76876-0_10 · Cited by 16 · see citing works

Title: Factors influencing the physical complexity of routes in public transportation networks

Heye, C., & Timpf, S. (2003) · Cited by 16 · see citing works

Weighting the path continuation in route planning

Winter, S. (2001) · ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL GIS) · doi:10.1145/512161.512199 · Cited by 16 · see citing works

Virtual Reality for Spatial Navigation

Jeung, S., Hilton, C. W., Berg, T., Gehrke, L., & Gramann, K. (2022) · Current topics in behavioral neurosciences · doi:10.1007/7854_2022_403 · Cited by 15 · see citing works

Flexible Paths: A Path Planning Approach to Dynamic Navigation

Amores, D., Tanin, E., & Vasardani, M. (2024) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2023.3343490 · Cited by 15 · see citing works

Registration errors in beacon-based navigation guidance systems: Influences on path efficiency and user reliance

Brunyé, T. T., Moran, J. M., Houck, L. A., Taylor, H. A., & Mahoney, C. R. (2016) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2016.07.008 · Cited by 15 · see citing works

Moving in a crowd: safe and efficient navigation among heterogeneous agents

Godoy, J., Karamouzas, I., Guy, S. J., & Gini, M. L. (2016) · International Joint Conference on Artificial Intelligence · Cited by 15 · see citing works

Path Planning in an Environment with Static and Dynamic Obstacles Using Genetic Algorithm: A Simplified Search Space Approach

Mahjoubi, H., Bahrami, F., & Lucas, C. (2006) · IEEE Congress on Evolutionary Computation (CEC) · doi:10.1109/cec.2006.1688617 · Cited by 15 · see citing works

Planning routes around the world: International evidence for southern route preferences

Brunyé, T. T., Andonova, E., Meneghetti, C., Noordzij, M. L., Pazzaglia, F., Wienemann, R., Mahoney, C. R., & Taylor, H. A. (2012) · Journal of Environmental Psychology · doi:10.1016/j.jenvp.2012.05.003 · Cited by 15 · see citing works

Difficulties and Problem-Solving Strategies in Wayfinding Among Adults With Cognitive Disabilities: A Look at the Bigger Picture

Delgrange, R., Burkhardt, J., & Gyselinck, V. (2020) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2020.00046 · Cited by 14 · see citing works

Not Arbitrary, Systematic! Average-Based Route Selection for Navigation Experiments

Mazurkiewicz, B., Kattenbeck, M., Kiefer, P., & Giannopoulos, I. (2020) · Repository for Publications and Research Data (ETH Zurich) · doi:10.3929/ethz-b-000447700

Topologic and metric decision criteria for wayfinding

Hochmair, H., & Raubal, M. (2002)

M: Raubal Selection of Salient Features for Route Directions

Nothegger, C., Winter, S., & Raubal, M. (2014)

Selection of Salient Features for Route Directions

Nothegger, C., Winter, S., & Raubal, M. (2004) · Spatial Cognition & Computation · doi:10.1207/s15427633scc0402_1 · Cited by 181 · see citing works

ON CRITERION AND STRATEGY OF PATH SELECTION

Min, W. (2008) · Cehui dili xinxi