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

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.

2021 ◽  
Vol 11 (5) ◽  
pp. 2057
Author(s):  
Abdallah Namoun ◽  
Ali Tufail ◽  
Nikolay Mehandjiev ◽  
Ahmed Alrehaili ◽  
Javad Akhlaghinia ◽  
...  

The use and coordination of multiple modes of travel efficiently, although beneficial, remains an overarching challenge for urban cities. This paper implements a distributed architecture of an eco-friendly transport guidance system by employing the agent-based paradigm. The paradigm uses software agents to model and represent the complex transport infrastructure of urban environments, including roads, buses, trolleybuses, metros, trams, bicycles, and walking. The system exploits live traffic data (e.g., traffic flow, density, and CO2 emissions) collected from multiple data sources (e.g., road sensors and SCOOT) to provide multimodal route recommendations for travelers through a dedicated application. Moreover, the proposed system empowers the transport management authorities to monitor the traffic flow and conditions of a city in real-time through a dedicated web visualization. We exhibit the advantages of using different types of agents to represent the versatile nature of transport networks and realize the concept of smart transportation. Commuters are supplied with multimodal routes that endeavor to reduce travel times and transport carbon footprint. A technical simulation was executed using various parameters to demonstrate the scalability of our multimodal traffic management architecture. Subsequently, two real user trials were carried out in Nottingham (United Kingdom) and Sofia (Bulgaria) to show the practicality and ease of use of our multimodal travel information system in providing eco-friendly route guidance. Our validation results demonstrate the effectiveness of personalized multimodal route guidance in inducing a positive travel behavior change and the ability of the agent-based route planning system to scale to satisfy the requirements of traffic infrastructure in diverse urban environments.


Author(s):  
Kosuke Sekiyama ◽  
◽  
Yasuhiro Ohashi

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.


2012 ◽  
Vol 253-255 ◽  
pp. 1666-1674
Author(s):  
Ke Hua Su ◽  
Hao Feng Wang ◽  
Yu Zhang ◽  
Hong Cheng

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.


2008 ◽  
Vol 16 (3) ◽  
pp. 190-201 ◽  
Author(s):  
Thomas Porathe

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.


Sign in / Sign up

Export Citation Format

Share Document