Development of a self-driving car that can handle the adverse weather

Lane and road recognition are essential for self-driving where GPS solution is inaccurate due to the signal block or multipath in an urban environment. Vision based lane or road recognition algorithms have been studied extensively, but they are not robust to changes in weather or illumination due to the characteristic of the sensor. Lidar is a sensor for measuring distance, but it also contains intensity information. The road mark on the road is made to look good with headlight at night by using a special paint with good reflection on the light. With this feature, road marking can be detected with lidar even in the case of changes in illumination due to the rain or shadow. In this paper, we propose equipping autonomous cars with sensor fusion algorithms intended to operate in a different weather conditions. The proposed algorithm was applied to the self-driving car EureCar (KAIST) in order to test its feasibility for real-time use.     

Updating of Travel Behavior Model Parameters and Estimation of Vehicle Trip Chain Based on Plate Scanning

This article proposes a maximum-likelihood method to update travel behavior model parameters and estimate vehicle trip chain based on plate scanning. The information from plate scanning consists of the vehicle passing time and sequence of scanned vehicles along a series of plate scanning locations (sensor locations installed on road network). The article adopts the hierarchical travel behavior decision model, in which the upper tier is an activity pattern generation model, and the lower tier is a destination and route choice model. The activity pattern is an individual profile of daily performed activities. To obtain reliable estimation results, the sensor location schemes for predicting trip chaining are proposed. The maximum-likelihood estimation problem based on plate scanning is formulated to update model parameters. This problem is solved by the expectation-maximization (EM) algorithm. The model and algorithm are then tested with simulated plate scanning data in a modified Sioux Falls network. The results illustrate the efficiency of the model and its potential for an application to large and complex network cases.     

Old woman creek,Ohio: The designation of a freshwater estuarine sanctuary

The Ohio Department of Natural Resources and the U.S. Office of Coastal Zone Management have proposed the Old Woman Creek estuary on Lake Erie as the nation's first freshwater estuarine sanctuary. Designation as an estuarine sanctuary will preserve 637 acres of marshland, sand bar, a barrier beach, and surrounding forested uplands for public education and research. The original January 1975 grant application required modification following local residents’ objections to purchases of highly productive farmland and land‐use controls on a watershed‐wide buffer zone. A federal grant award was made in July 1977, with full acquisition anticipated by the end of 1978.     

Airlines within airlines: Assessing the vulnerabilities of mixing business models

In this paper we examine two questions; what is it that makes some cases of airlines within airlines apparently successful while in many other cases it is just the opposite? And second, why would a carrier attempt such a strategy, is there a common set of circumstances or is each case unique? In the US, Canada and Europe a number of legacy carriers have sought to respond to LCC entry by creating an LCC within the legacy carriers; most have failed but some have succeeded, most notably in Australia and Germany. We first examine the evolution of the LCC business model and illustrate the different forms it takes today. Following this we provide a discussion of the underlying sources of cost advantage of the LCC and assess which sources are sustainable in the longer term. Finally we examine the conditions under which these apparent successes have occurred and look for common threads. We find market dominance, judicious network planning and co-ordination are necessary conditions for success.     

ELASTIC – A methodological framework for identifying and selecting sustainable transport indicators

There is significant reliance on sustainable transport indicators for monitoring and reporting progress towards sustainable transport. The selection of appropriate sustainability indicators presents a number of challenges however, not least because of the vast number of potential indicators available. To help address these challenges, this paper presents the Evaluative and Logical Approach to Sustainable Transport Indicator Compilation (ELASTIC) – a framework for identifying and selecting a small subset of sustainable transport indicators. ELASTIC is demonstrated with an application to the English Regions, UK.     

Decision support for simulating the car park activity in an urban area

Complexity of car park activity is reproduced from a concurrent execution of behaviour of various drivers. This paper presents a step in the development of a multimodal traffic simulator based on multi‐agent paradigm and designed as a decision aid tool as well as a video game. The user‐player has the opportunity to test different scenarios. We propose an approach for designing the decision‐making rules and the learning mechanism for a car driver agent. For that, a panel of methods such as stated preference modelling, Design Of Experiments and data fusion is used. Initial behavioural models, based on similar preferences, are developed for specified categories. Each agent will adapt its behaviour after executing its learning process. Our approach can be used in order to optimize needs of road network users and those of people in charge of traffic regulation. A demonstrator has been developed to test parking policies in an urban area as well as changes of car park characteristics.     

Parking restraint policy and urban vitality

The aim of the paper is to examine whether parking restraint policies may have impacts on the economic vitality of urban centres. Literature from empirical, attitudinal and modelling studies is reviewed within a structure based around a conceptual framework of parking impacts. The search for relevant material was undertaken both for the UK and overseas, but the discussion and conclusions were related to the UK context. Original modelling was undertaken and is reported here. This review found that as parking restraint policies have not been previously implemented with consistency or longevity, there is a lack of direct evidence, given that land-use impacts typically involve a long-term response. Furthermore, different methods of examining impacts have come to very different conclusions. Attitudinal evidence suggests that there is a high level of sensitivity to parking provision, whereas aggregate statistical studies tend to find only a weak relationship. The reasons underlying these differences are discussed. Land-use/transport models show impacts if there is sufficient change in generalized cost, although the spatial distribution of impacts, and impacts by household or employment disaggregation, vary considerably. Given the inconclusive nature of the evidence to date, only tentative policy implications can be drawn. Recommendations for further research are outlined, both for empirical study and for model enhancements.     

Issue Definition and Planning for Whalewatching Management Strategies in Ensenada,Mexico

The exceptional growth of whalewatching in Baja California Sur (BCS) and other parts of Mexico during the last 10 years motivated the design and implementation of a Mexican whalewatching law based on experiences in BCS. However, recent research in the Ensenada whalewatching area confirms that this law is insufficient in this area because whalewatching boats and other fishing, cruising, or drifting boats influence the behavior (swimming direction and velocity) of migrating gray whales. In the long term, the migration corridor might be displaced offshore, and whalewatching may become infeasible. This study proposes a management planning process to adapt regulations to this area, to promote adherence to regulations by encouraging self-regulation and strengthening law enforcement, and to enhance the tourist service on board. The actors involved were identified.