Past research indicated that driver information requirements were varied (e. g. Spyridakis et al., 1991) and the motorists population cannot be consider homogeneous in terms of information requirements (e. g. Haselkorn et al., 1991). Some of the previous studies even suggestedth at before the so-called intelligent systemsg o into production, several unresolved issues concerning what kind of information drivers require need to be resolved. Thus, this thesis is interested in exploring several human factors issues concerning drivers; ' information requirements. First, the study is trying to provide at least a general picture of what kind of information is suitable to be presented to drivers in certain types of journey. Secondly, the thesis is interested in exploring the suitable timing and mode to present the required information to the target audiences. Besides the aforementioned human factors issues, this research also investigated how drivers plan their routes and find their way in unfamiliar destinations. The study is also interested in examining criteria used by drivers in choosing a route to their intended destination. Finally, this thesis aims to measure respondents' behavioral responses when they were given several traffic messages on congestion while commuting to and from work. The results also revealed that local drivers used more than one strategy for route planning and wayfinding in unfamiliar locations. Maps were the main strategy used by most of the respondents who participated in this study. Other strategies used by respondents were asking a passer-by, relying on memory and going without preparation. Apart from that, this study also demonstrated the difficulty in arriving at a general conclusion concerning the appropriate criteria that drivers would use in selecting a route for different trips. Local drivers would use a variety types of criteria in order to choose a route to a particular destination. However, the thesis identifies that drivers mainly employed three types of criteria in selecting a route to a particular destination. These criteria were safety, saving mileage and avoiding congested routes The final study (Study 3) was interested in extending the results of both studies I and 2 particularly the presentationo f congestionm essagesto its end users,i . e. motorists. An experiment was conducted to investigate drivers' response towards the presentation of traffic messagesa bout congestion.T he findings clearly supportedp revious work that found different types of information are likely to elicit different kind of responses from the drivers. In addition, local drivers also had ideas about the design of future traffic messages on congestion. For example, the need to have a quick solution when faced with the problem, e. g. offer alternate route; the need to have information on travel time if they decided to use the alternate route recommended by the systems; and some of the messages should be given as early as possible to serve as pre-trip advanced warning to drivers. The findings clearly demonstrated the preference for having more information rather than less.

No description available.

No description available.

Title: Transshipment Terminal – A study of environmental effects from the introduction of a transshipment terminal and a route planning system in the municipality of Kalmar Examiner: Andersson, Petra Key words: Transshipment terminal, route planning, environmental impact Purpose: The study aims to examine how a transshipment terminal and a route planning system may have implications for the municipality of Kalmar from environmental concerns. Methodology: The thesis is a case study on the municipality of Kalmar. A positivistic -and an objectivistic approach have been used. The strategic approach that was used was quantitative. Theoretical perspectives: The thesis has mainly been based on theories of transshipment terminal, route planning and environmental impact, but also other relevant theories have been used. Emperical foundation: Empirical data has gathered through interviews with the municipality of Kalmar and its suppliers and from data that was obtained from them. The information has then been analyzed using the theoretical framework. Conclusions: By imposing a transshipment terminal and route planning for the municipality of Kalmar, the number of transports, transport distance and carbon dioxide emissions can be reduced. transshipment terminal can be analyzed, and how suppliers can change their routes when a transshipment terminal is inmplemented. Also where the transshipment terminal should be placed can be another subject to study. Suggestions for further research: The authors suggest that a deeper study of the total costs of

No description available.

Modern vehicles have an increasing number of advanced features requiring network coverage in order to function properly. In order to facilitate the requirements of such features and allow more advanced applications, we consider the possibility of planning routes that take signal strength into consideration. Previous work have shown the relationship between TCP throughput/goodput and signal strength. In this thesis signal-aware route planning is presented, implemented, and validated. Crowd-sourced map and signal data (3G) from two sources is used for building a signal coverage map. The signal and map data is validated in a field experiment, where routes were travelled while measuring the signal strength. The field experiment showed gains in signal characteristics when deviating from the shortest possible path. The average signal strength increased by 11 dBm between algorithms and the shortest possible path. Lastly, routes were planned for all possible sources and destinations in a given urban area. The results of this calculation confirms the patterns found in the field experiment.

International Telemetering Conference Proceedings / October 25-28, 1999 / Riviera Hotel and Convention Center, Las Vegas, Nevada / In this paper, a devising scheme of Autonomous Vehicle Location and Navigation System is introduced firstly. Then, several key technologies used in the devising scheme are presented, which includes a data fusion method based on extended decentralized kalman filter technology, a map-matching method used to compensate the positioning error, and a digital map data processing method used to realize route planning algorithm. By this time, a sample machine based on the devising scheme introduced in this paper has already been worked out successfully. The availability and the advantages of these technologies have been demonstrated.

In this thesis, automatic routing technologies for unmanned air vehicles are investigated. A route planner that minimizes the fuel consumption and maximizes the survivability is developed. While planning the route, using more than one objective entails the auto-routing problem to multi-objective optimization considerations. In this work, these considerations are handled with search algorithms. In order to assess the route options, a fuel consumption model and a survivability model are utilized for the route planner. As the assessment models are established, required computational time is taken into account without deteriorating the fidelity.

Aerial surveillance missions require a geographical region known as the area of interest to be inspected. The route that the aerial reconnaissance vehicle will follow is known as the flight route. Flight route planning operation has to be done before the actual mission is executed. A flight route may consist of hundreds of pre-defined geographical positions called waypoints. The optimal flight route planning manages to find a tour passing through all of the waypoints by covering the minimum possible distance. Due to the combinatorial nature of the problem it is impractical to devise a solution using brute force approaches. This study presents a strategy to find a cost effective and near-optimal solution to the flight route planning problem. The proposed approach is implemented on GPU using CUDA.

Geographical Information Systems (GIS) have been rapidly developed in the fields that need spatial data and transportation planning is one of these fields. Since transportation data is spatially distributed and need spatial, statistical and network based analysis / GIS applications have contributions to transportation planning. In this study, it is aimed to determine a new public transportation mode and route in the METU campus with the aid of GIS by considering the stations of &Ccedil / ayyolu metro route. Besides, it is also aimed to show that GIS can be a useful tool for constructing transport planning database and exploring, analyzing planning data. Gross settlement area of the campus, covering about 220 hectare land on the southern side of the Ankara &amp / #8211 / EskiSehir highway, is the study area of this thesis. First, campus land-use, topography, population characteristics and transportation structure are explored. Then, campus trip demand and pedestrian traffic are estimated. Afterwards, eight public transport route alternatives are proposed with their stops or stations for three different modes as / guided light transit, modern trolleybus and monorail. Proposed routes and stops or stations are evaluated with their physical characteristics and in terms of service areas shaped relative to pedestrian accessibility for determining the suitable public transport service in the METU campus. Consequently, Trolleybus B alternative is selected as the first degree suitable public transport service in campus. Besides, Monorail B and Trolleybus A services are determined as the second degree suitable services in campus.