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Route Guidance System for the Road Network-A Review
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Route Guidance System for the Road Network-A Review (2021)Route Guidance System for the Road Networ…Forced‐node route guidance system: incorporating both user equilibrium and system optimal benefits (2019)Forced‐node route guidance sy…A Collaborative Method for Route Discovery Using Taxi Drivers’ Experience and Preferences (2017)A Collaborative Method for Ro…Dynamic Vehicular Route Guidance Using Traffic Prediction Information (2016)Dynamic Vehicular Route Guida…A GIS‐based method to identify cost‐effective routes for rural deviated fixed route transit (2016)A GIS‐based method to identif…Non-Myopic Adaptive Route Planning in Uncertain Congestion Environments (2015)Non-Myopic Adaptive Route Pla…Mining Large-Scale GPS Streams for Connectivity Refinement of Road Maps (2015)Mining Large-Scale GPS Stream…Efficient vehicles path planning algorithm based on taxi GPS big data (2015)Efficient vehicles path plann…Improving the road network performance with dynamic route guidance by considering the indifference band of road users (2012)Improving the road network pe…Introduction to Stochastic Programming (1998)Introduction to Stochastic Programming (2011)Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting (2012)CrowdAtlas (2013)Urban computing with taxicabs (2011)Land-Use Classification Using Taxi GPS Traces (2012)Mining the semantics of origin-destination flows using taxi traces (2012)A Weather-Assisted Driver Experiences Based Path Selection Method (2018)RNN-based default logic for route planning in urban environments (2019)A BEHAVIORAL MODEL OF RATIONAL CHOICE (1955)Prospect Theory: An Analysis of Decision under Risk (1979)Advances in prospect theory: Cumulative representation of uncertainty (1992)Improving the performance of a traffic system by fair rerouting of travelers (2021)Switching threshold of commuting Travelers’ route choice under different patterns of information (2021)Heuristic techniques for accelerating hierarchical routing on road networks (2002)A structured flexible transit system for low demand areas (2011)A survey on planning semi-flexible transit systems: Methodological issues and a unifying framework (2013)Towards equitable transit: examining transit accessibility and social need in Toronto, Canada, 1996–2006 (2013)Use characteristics and demographics of rural transit riders: a case study in Tennessee (2016)Direct modeling of subway ridership at the station level: a study based on mixed geographically weighted regression (2019)Optimal Design for Demand Responsive Connector Service Considering Elastic Demand (2021)Reliable Pretrip Multipath Planning and Dynamic Adaptation for a Centralized Road Navigation System (2007)Route Planning in Transportation Networks (2016)Understanding congested travel in urban areas (2016)A data driven approach to assessing the reliability of using taxicab as probes for Real-Time route selections (2019)Mining Factors Affecting Taxi Detour Behavior From GPS Traces at Directional Road Segment Level (2021)Recursive logit-based meta-inverse reinforcement learning for driver-preferred route planning (2024)The Traffic Assignment Problem: Models and Methods (1994)System-Optimal Routing of Traffic Flows with User Constraints in Networks with Congestion (2005)2015 Urban Mobility Scorecard (2015)
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References

  • 2016A GIS‐based method to identify cost‐effective routes for rural deviated fixed route transit31 cited
  • 2015Efficient vehicles path planning algorithm based on taxi GPS big data30 cited
  • 2015Non-Myopic Adaptive Route Planning in Uncertain Congestion Environments28 cited
  • 2017A Collaborative Method for Route Discovery Using Taxi Drivers’ Experience and Preferences24 cited
  • 2012Improving the road network performance with dynamic route guidance by considering the indifference band of road users22 cited
  • 2016Dynamic Vehicular Route Guidance Using Traffic Prediction Information18 cited
  • 2015Mining Large-Scale GPS Streams for Connectivity Refinement of Road Maps15 cited
  • 2019Forced‐node route guidance system: incorporating both user equilibrium and system optimal benefits10 cited

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