An Assessment of Moving Map and Symbol-Based Route Guidance Systems

2020 ◽  
pp. 115-137
Author(s):  
Gary Burnett ◽  
Sue Joyner
Keyword(s):  
Route Guidance ◽  
Guidance Systems

Distributed Route Guidance Systems with Self-Organized Multi-Layered Vector Fields

2005 ◽  
Vol 9 (2) ◽  
pp. 106-113 ◽  
Author(s):  
Kosuke Sekiyama ◽  
◽  
Yasuhiro Ohashi
Keyword(s):  
Vector Fields ◽  
Traffic Signals ◽  
The Self ◽  
Route Guidance ◽  
Traffic Conditions ◽  
Distributed Approach ◽  
Self Organized ◽  
Efficient Route ◽  
Guidance Systems ◽  
Self Organizing

This paper deals with novel distributed route guidance that cooperates with self-organizing control of traffic signal networks. Self-organizing control of traffic signals provides a fully distributed approach to coordinate a number of signals distributed in a wide area based on local information of traffic flows so that split and offset control parameters between traffic signals are adjusted for efficient traffic flow. The self-organizing route guidance systems (SRGS) concept is introduced for efficient route guidance to facilitate offset adjustment of the self-organizing control of signal networks by self-organizing multilayered vector fields. Simulation demonstrates the effectiveness of the proposal under nonstationary traffic conditions.

Identify Intersections, Curves and Bifurcation Junctions from GPS Traces

2012 ◽  
Vol 253-255 ◽  
pp. 1666-1674
Author(s):  
Ke Hua Su ◽  
Hao Feng Wang ◽  
Yu Zhang ◽  
Hong Cheng
Keyword(s):  
Gps Data ◽  
Route Guidance ◽  
Feature Points ◽  
Novel Approach ◽  
Road Maps ◽  
Gps Traces ◽  
The Cross ◽  
Guidance Systems ◽  
Processing Steps ◽  
Advanced Applications

With the increasing popularity of route guidance systems, it becomes more important for such highly advanced applications as the cross detection to induce road maps with a higher accuracy. In this paper, we present a novel approach to induce higher-precision maps with the help of the GPS data, mainly identify intersections, curves, and bifurcation junctions. Our approach consists of several successive processing steps: Firstly, try to find out areas where the distribution of GPS feature points is very intensive. Then, analyze the characteristic of the intersections and attach some restrictions to filter out the intersections, curves and bifurcation junctions which meet with our conditions. We also propose this method to improve the efficient of our algorithm. Among the new contributions are a creative method that connects both the TargetRegion_Detect algorithm and the AbnormalPointFilter algorithm which helps us identify the three forms of roads mentioned above and induce road maps with a higher accuracy.

Presentation media for route instructions for pedestrians in urban environments

2004 ◽  
Vol 12 (1) ◽  
pp. 5-18
Author(s):  
Piet Westendorp ◽  
R. Wever ◽  
Paul Mijksenaar
Keyword(s):  
Urban Environments ◽  
Rough Terrain ◽  
Route Guidance ◽  
Gps Receivers ◽  
Route Instructions ◽  
Guidance Systems ◽  
Presentation Media

GPS-based route-guidance systems are used for various types of transport, such as airplanes, boats, cars and motorbikes. Such systems have also been developed for pedestrians, focusing initially on hikers in rough terrain. Recently, some devices were developed for pedestrians in urban environments. This study focuses on the ways in which route instructions can be presented to urban pedestrians with such GPS-receivers.

scholarly journals Measuring effective map design for route guidance: An experiment comparing electronic map display principles

2008 ◽  
Vol 16 (3) ◽  
pp. 190-201 ◽  
Author(s):  
Thomas Porathe
Keyword(s):  
Decision Making ◽  
Route Guidance ◽  
Effective Strategy ◽  
Electronic Map ◽  
The World ◽  
Map Design ◽  
Guidance Systems

Route guidance systems in vehicles has started to use an oblique, slanted view of the map, mimicking something of the egocentric perspective the driver sees through the windscreen. Is this an effective strategy? What is the most effective map design to convey route guidance to drivers, and how can this be measured? In an experiment with four different modes of map displays the speed of decision making and accuracy of navigation have been tested. The four map types were: the traditional paper map, the northup electronic map with position plotting (the symbol of the vehicle moving in the static map), the head-up electronic map (map moving, the position of the vehicle static and facing up) and the egocentric view map display, a 3-D scenery mimicking the world outside the wind screen. The experiment showed clearly that the egocentric 3-D view was the most effective.

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