scholarly journals Ergonomic Evaluation of Smart Navigation System for Riding on Motorcycle

2018 ◽  
Vol 201 ◽  
pp. 01009
Author(s):  
Po-Hsiang Liu ◽  
Yong-Cheng Li ◽  
Yu-Jung Tsai
Keyword(s):  
Factor Analysis ◽  
Real Time ◽  
Navigation System ◽  
Response Rate ◽  
Smart Device ◽  
The Road ◽  
On The Road ◽  
Real Time Information ◽  
Design Factors ◽  
Time Information

A smart navigation device could be provided to keep riders’ eyes safely on the road while riding on motorcycle. Present study surveyed the riding behaviors and examined the fifteen design factors about navigation device and determined the priority of each factor. Further, navigation device have been evaluated on road. A total of 550 questionnaires were dispatched, with a response rate of 89 % (n = 491). Results of factor analysis showed the six dimensions of prediction information, real-time information, brand and appearance, cost, functionality, efficacy and utility. Further, the highest priority design factors of smart navigation device are reminder for speeding camera, intersection name of next turn, distance of next turn, lane guide and map guide line. After navigation device have been evaluated on road, the smart device that effortlessly guides rider through the safest and most enjoyable riding routes with intuitive light patterns. Results of this study could provide the information for the design of the smart navigation device for riding on motorcycle.

scholarly journals Proactive Traffic Information Control in Emergency Evacuation Network

2015 ◽  
Vol 2015 ◽  
pp. 1-10
Author(s):  
Zhengfeng Huang
Keyword(s):  
Real Time ◽  
Road Network ◽  
Emergency Evacuation ◽  
Traffic Information ◽  
Information Control ◽  
Traffic Condition ◽  
The Road ◽  
Real Time Information ◽  
Near Future ◽  
Time Information

Traffic demand in emergency evacuation is usually too large to be effectively managed with reactive traffic information control methods. These methods adapt to the road traffic passively by publishing real-time information without consideration of the routing behavior feedback produced by evacuees. Other remedy measures have to be prepared in case of nonrecurring congestion under these methods. To use the network capacity fully to mitigate near-future evacuation traffic congestion, we propose proactive traffic information control (PTIC) model. Based on the mechanism between information and routing behavior feedback, this model can change the route choice of evacuees in advance by dissipating strategic traffic information. Generally, the near-future traffic condition is difficult to accurately predict because it is uncertain in evacuation. Assume that the value of traffic information obeys certain distribution within a range, and then real-time traffic information may reflect the most-likely near-future traffic condition. Unlike the real-time information, the proactive traffic information is a selection within the range to achieve a desired level of the road network performance index (total system travel time). In the aspect of the solution algorithm, differential equilibrium decomposed optimization (D-EDO) is proposed to compare with other heuristic methods. A field study on a road network around a large stadium is used to validate the PTIC.

Potential Urban Rainfall Prediction Measurement System

1984 ◽  
Vol 16 (8-9) ◽  
pp. 349-362 ◽  
Author(s):  
John L Vogel
Keyword(s):  
Real Time ◽  
The United States ◽  
Monitoring Systems ◽  
Climatic Region ◽  
Convective Storm ◽  
Rainfall Prediction ◽  
Water Quality Regulations ◽  
General Data ◽  
Real Time Information ◽  
Time Information

Continued growth of urban regions and more stringent water quality regulations have resulted in an increased need for more real-time information about past, present, and future patterns and intensities of precipitation. Detailed, real-time information about precipitation can be obtained using radar and raingages for monitoring and prediction of precipitation amounts. The philosophy and the requirements for the development of real-time radar prediction-monitoring systems are described for climatic region similar to the Midwest of the united States. General data analysis and interpretation techniques associated with rainfall from convective storm systems are presented.

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