碩士 / 淡江大學 / 運輸管理學系 / 92 / Generally the in-vehicle navigation system offers road condition report, navigation and route guidance (recommendation) functions. However, the effectiveness of such device depends much on the interaction between the user''s individual characteristics, provided information and the network configurations.
In this thesis, theory of environmental learning from spatial abilities was investigated and integrated into the discrete travel demand modeling in Transportation to establish a specific form of node-to-node dynamic route switching behavior model for auto drivers under the influence of the travel information provided by in-vehicle navigation system.
A three-stage study was implemented in this thesis, the first stage was composed of selected battery of psychometric tests, experimental tasks and environmental learning as assessed by a series of macrospatial task for sampled auto-driving subjects followed by constructing a form of structural equations to extract and identify the individual’s special ability as latent variables to represent the individual’s way-finding characteristics at the presence of the network configuration and traffic information. The second stage was a controlled experiment where the selected subjects were instructed to perform dynamic route choice driving experiment with a laboratory simulator for distinct familiar or unfamiliar environment and two different types of networks. The simulator was developed to mimic the functions and displays of in-vehicle route guidance/navigation systems. A spatial sequential memory test was also included in this stage to reveal how the spatial memory is affected by individual’s general spatial ability and therefore to affect the performance of topological knowledge. Finally, dynamic node-to-node route switching models with inclusion of these latent variables as personal attribute variables in the specified indifferent bands were established.
Two variations of special dynamic-route-based switching model were calibrated for the user cluster with high spatial ability in familiar environment as demonstrative purpose, with latent variables specified in one and direct test measures in another (base model). The result has shown that the inclusion of latent variables as individual’s spatial ability in model specification improve model performance over the contrasted base model.
| Identifer | oai:union.ndltd.org:TW/092TKU00425014 |
| Date | January 2004 |
| Creators | Ling-Yu Chao, 趙淩佑 |
| Contributors | Chee-Chung Tong, 董啟崇 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | zh-TW |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 152 |
Page generated in 0.0014 seconds