Influence of Geometry and Objects on Local Route Choices during Wayfinding

2010 ◽  
pp. 41-53 ◽  
Author(s):  
Julia Frankenstein ◽  
Simon J. Büchner ◽  
Thora Tenbrink ◽  
Christoph Hölscher
Keyword(s):  
Route Choices

Clustering route choices methodology for network performance analysis

2016 ◽  
Vol 5 (2) ◽  
pp. 191-210 ◽  
Author(s):  
Céline Parzani ◽  
Ludovic Leclercq ◽  
Nazih Benoumechiara ◽  
Daniel Villegas
Keyword(s):  
Performance Analysis ◽  
Network Performance ◽  
Network Performance Analysis ◽  
Route Choices

Visual Analysis of Multiple Route Choices Based on General GPS Trajectories

2017 ◽  
Vol 3 (2) ◽  
pp. 234-247 ◽  
Author(s):  
Min Lu ◽  
Chufan Lai ◽  
Tangzhi Ye ◽  
Jie Liang ◽  
Xiaoru Yuan
Keyword(s):  
Visual Analysis ◽  
Gps Trajectories ◽  
Route Choices

scholarly journals Dynamic Guidance by Colored Running Lights and Affordance: Route Choices of Adults and Older Children

2020 ◽  
Vol 5 ◽  
Author(s):  
Laura Künzer ◽  
Robert Zinke ◽  
Gesine Hofinger
Keyword(s):  
Laboratory Experiment ◽  
Route Choice ◽  
The Other ◽  
Route Guidance ◽  
Older Children ◽  
Aversive Effect ◽  
Architectural Elements ◽  
Route Choices ◽  
Subway Stations ◽  
Dynamic Route

Abstract Guidance to emergency exits play an important role for safe evacuation. Dynamic route guidance by colored flashing lights and strobe lights at emergency exits has been tested [1–3], but the effects of dynamic lights to support route choices need to be determined in more detail. Also, the guidance effects of different colors need to be examined and the reaction of various groups of evacuees. The paper analyzes the effects of red and green running lights on route choice in subway stations comparing adults and older children (10 to 12 years old). Data was gathered in a laboratory experiment, focusing on the concept of affordance [4, 5]. Participants were asked to make a decision about the safest direction between two alternative directions. Their choice was either unsupported or supported by red or green running lights. In general, an interaction between color and direction of the running light was found. Green running lights influenced route choices of both participant groups and led participants clearly into the direction indicated by the lights. Red running lights influenced route choices of both participant groups, but red lights lead to ambiguous decisions. Architectural elements such as stairs influenced route choices of both participant groups (functional affordance). But green running light offered a stronger indication to a safe route (cognitive affordance) than a visible staircase (functional affordance). Green lights even led participants to modify their route preference. In contrast, red running lights had an aversive effect: older children chose against the lights and preferred the other direction than the red lights were directing to. Implications for design of dynamic route guidance are discussed. This includes colored running lights to lead evacuees to a safe exit and to implement the influence of running lights on route choice and movement in simulations.

Minimum carbon dioxide emission based selection of traffic route with unsignalised junctions in tandem network

2019 ◽  
Vol 30 (3) ◽  
pp. 657-675 ◽  
Author(s):  
Anand Jaiswal ◽  
Cherian Samuel ◽  
Chirag Chandan Mishra
Keyword(s):  
Carbon Dioxide ◽  
Queuing Theory ◽  
Mathematical Formulation ◽  
Carbon Dioxide Emission ◽  
Arrival Rate ◽  
Selection Strategy ◽  
Service Rate ◽  
Content Type ◽  
Fuel Consumption Rate ◽  
Route Choices

Purpose The purpose of this paper is to provide a traffic route selection strategy based on minimum carbon dioxide (CO2) emission by vehicles over different route choices. Design/methodology/approach The study used queuing theory for Markovian M/M/1 model over the road junctions to assess total time spent over each of the junctions for a route with junctions in tandem. With parameters of distance, mean service rate at the junction, the number of junctions and fuel consumption rate, which is a function of variable average speed, the CO2 emission is estimated over each of the junction in tandem and collectively over each of the routes. Findings The outcome of the study is a mathematical formulation, using queuing theory to estimate CO2 emissions over different route choices. Research finding estimated total time spent and subsequent CO2 emission for mean arrival rates of vehicles at junctions in tandem. The model is validated with a pilot study, and the result shows the best vehicular route choice with minimum CO2 emissions. Research limitations/implications Proposed study is limited to M/M/1 model at each of the junction, with no defection of vehicles. The study is also limited to a constant mean arrival rate at each of the junction. Practical implications The work can be used to define strategies to route vehicles on different route choices to reduce minimum vehicular CO2 emissions. Originality/value Proposed work gives a solution for minimising carbon emission over routes with unsignalised junctions in the tandem network.

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