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Fastest paths in time-dependent networks for intelligent vehicle-highway systems application
DE Kaufman, RL Smith - Journal of Intelligent Transportation …, 1993 - Taylor & Francis
We consider the problem of individual route guidance in an Intelligent Vehicle-Highway
Systems (IVHS) environment, based on time-dependent forecasts of link travel time. We …
Systems (IVHS) environment, based on time-dependent forecasts of link travel time. We …
Generating complete all-day activity plans with genetic algorithms
D Charypar, K Nagel - Transportation, 2005 - Springer
Activity-based demand generation contructs complete all-day activity plans for each member
of a population, and derives transportation demand from the fact that consecutive activities at …
of a population, and derives transportation demand from the fact that consecutive activities at …
System-optimal routing of traffic flows with user constraints in networks with congestion
The design of route guidance systems faces a well-known dilemma. The approach that
theoretically yields the system-optimal traffic pattern may discriminate against some users in …
theoretically yields the system-optimal traffic pattern may discriminate against some users in …
[PDF][PDF] Travel demand modeling for multi-agent transport simulations: Algorithms and systems
M Balmer - 2007 - research-collection.ethz.ch
3 Design Issues 45 3.1 Structural issues...................... 46 3.1. 1 Implementation.................. 46
3.1. 2 ComputationalPerformance........... 47 3.2 FunctionalIssues..................... 50 3.2. 1 …
3.1. 2 ComputationalPerformance........... 47 3.2 FunctionalIssues..................... 50 3.2. 1 …
An agent-based microsimulation model of Swiss travel: First results
B Raney, N Cetin, A Völlmy, M Vrtic… - Networks and Spatial …, 2003 - Springer
In a multi-agent transportation simulation, each traveler is represented individually. Such a
simulation consists of at least the following modules:(i) Activity generation.(ii) Modal and …
simulation consists of at least the following modules:(i) Activity generation.(ii) Modal and …
Understanding and predicting traveler response to information: a literature review
J Lappin, J Bottom - 2001 - rosap.ntl.bts.gov
This report is a review of literature published as of mid-2001 on the traveler response to real
time information at the individual and network levels. The report summarizes what is …
time information at the individual and network levels. The report summarizes what is …
An improved framework for large-scale multi-agent simulations of travel behaviour
B Raney, K Nagel - Towards Better Performing Transport …, 2006 - taylorfrancis.com
In this paper, we consider the dynamics of a global supply chain network economy in the
presence of risk and uncertainty. In particular, we assume three tiers of decision-makers …
presence of risk and uncertainty. In particular, we assume three tiers of decision-makers …
Large-scale multi-agent simulations for transportation applications
In many transportation simulation applications including intelligent transportation systems
(ITS), behavioral responses of individual travelers are important. This implies that simulating …
(ITS), behavioral responses of individual travelers are important. This implies that simulating …
Travel time estimation from sparse floating car data with consistent path inference: A fixed point approach
Estimation of urban network link travel times from sparse floating car data (FCD) usually
needs pre-processing, mainly map-matching and path inference for finding the most likely …
needs pre-processing, mainly map-matching and path inference for finding the most likely …
Large-scale multi-agent transportation simulations
N Cetin, K Nagel, B Raney, A Voellmy - Computer Physics Communications, 2002 - Elsevier
It is now possible to microsimulate the traffic of whole metropolitan areas with 10 million
travelers or more,“micro” meaning that each traveler is resolved individually as a particle. In …
travelers or more,“micro” meaning that each traveler is resolved individually as a particle. In …