Road-safety recognition and network equilibrium with perceived route-choice sets
نویسندگان
چکیده
منابع مشابه
Route Choice in Road Networks - Observing and Modelling Route Choice
Until now transport planners and modellers have little information on the actual route choice in road networks as route choice is difficult to observe. The paper presents various techniques for observing route choice (floating car data, mobile phone data, automatic number plate recognition systems, bluetooth detection) and shows results of route choice observations. Based on the analysis of the...
متن کاملUser-equilibrium Route Set Analysis of a Large Road Network
By 1953 Martin Beckmann had formulated and analyzed the static, deterministic userequilibrium (UE) route choice model with variable origin-destination flows (demand) (Beckmann et al, 1956; Boyce, 2004). Twenty years later, Suzanne Evans (1973, 1976) proposed and analyzed an algorithm for solving a version of Beckmann’s model that corresponded to practitioner models with origin-destination (OD) ...
متن کاملPedestrian Route Choice by Iterated Equilibrium Search
In vehicular traffic planning it is a long standing problem how to assign demand such on the available model of a road network that an equilibrium with regard to travel time or generalized costs is realized. For pedestrian traffic this question can be asked as well. However, as the infrastructure of pedestrian dynamics is not a network (a graph), but two-dimensional, there is in principle an in...
متن کاملModeling Driver Behavior in a Road Network with Route Choice Based on Real Time Traffic Information
Intelligent Transportation Systems (ITS) applications require a thorough understanding of drivers' route choice behavior in a complex network under real-time information. The purpose of this paper is to describe and model driver route choice behavior in a road network based on real time traffic information at the disaggregate individual level and from a psychological decision-making process per...
متن کاملOptimal route in a road traffic network
We develop a road traffic Cellular Automata model suitable to an urban environment. North, east, south and west car displacements are possible and road crossings are naturally implemented as rotary junctions. We consider the traffic in a small part of Amsterdam, a Manhattan city-like area. Besides the simulation, we apply a Reinforcement Learning technique to derive optimal routes. The Reinforc...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Transportation Safety and Environment
سال: 2019
ISSN: 2631-4428
DOI: 10.1093/tse/tdz009