Lateral dynamics of motorcycles towing single-wheeled trailers

A motorcycle towing a single-wheel trailer may provide useful transport for light cargo on narrow tracks and off-road use, particularly in rural areas of developing countries. Four designs of such trailers are described. Linear models are derived for the lateral dynamics of an off-road motorcycle towing this type of trailer straight ahead at constant speed. The trailers were tested behind an instrumented motorcycle. Linear autoregressive models were fitted to the experimental data using system identification techniques. Analytical and experimentally derived models largely agreed on frequency, damping and shape of the weave, wobble and trailer sway normal modes. The trailers made the motorcycle's steering heavier but the analytical models did not predict this. The location of the articulation axes between the motorcycle and the trailer were found to be critical for stability. The best trailer design handled well with loads up to 200 kg and speeds up to 70 km/h.     

Lateral Dynamics of an Offroad Motorcycle by System Identification

An instrumented offroad motorcycle was run at a range of speeds in approximately straight lines whilst the rider excited its lateral dynamics by shaking the steering. Autoregressive models were fitted to the resulting multiple output time series data using system identification. The method allowed statistical estimation of state space models to represent the dynamics of an unstable or marginally stable vehicle under manual control. A symbolic algebra computer package was used to derive an analytical state space model to describe the lateral dynamics of the motorcycle. Results from the experiments and analysis compared well with respect to frequency, damping and modal shape of weave and wobble modes, frequency response and model order.     

Combining technology development and behaviour change to meet CO2 cumulative emission budgets for road transport: Case studies for the USA and Europe

Global temperature rise over the long term will be proportional to the total amount of CO₂ emitted. Any given probability of exceeding a targeted maximum temperature rise implies a maximum limit on the cumulative total of CO₂ that can be emitted: a CO₂ “budget”. This paper describes an approach to modelling cumulative emissions from light and heavy duty road transport from the present to 2050, focussing on the USA and Europe, and comparing the potential impacts of a range of technological and behaviourally-based abatement measures with such cumulative emissions budgets.The model shows that abatement measures would have a lower effect on cumulative emissions from 2000 to 2050 than on annual emissions in 2050, so that focussing only on annual emissions could be misleading. It shows that technological developments would be insufficient on their own to enable Europe and the USA to meet CO₂ budgets for road transport. Behavioural changes, which potentially can be implemented much sooner, would be essential too. There is potential to keep European light duty emissions very close to CO₂ budgets, and US light duty emissions not far above the least restrictive budget, but the model predicts that heavy duty emissions in both regions are likely to exceed their CO₂ budgets. Deeper emissions reductions in other regions and sectors will be needed to compensate for this. Timing would be critical: for the greatest impact, behaviour change policies and interventions would need to be applied early and deeply.     

Policy making and planning for the port sector: paradigms in conflict

The UK has a requirement for people with seafaring expertise to fill a wide range of jobs in the maritime-related sector of the economy ashore. The pool of seagoing ships' officers has now reached the level where shore-based demand for such officers cannot be satisfied by natural wastage from this pool alone. This paper considers the implications of this for the Government's recently announced strategy for maintaining the maritime skills base. The paper concludes that it is inevitable that the Government's present strategy will fail, and suggests what measures need to be taken if the skills base is to be saved.     

Some aspects of cruise ships

Historically there have been only two groups involved in the conflict that has engulfed the US maritime industry for the past fifty years maritime labour unions and shipping companies. The configuration of these groups at different times in this struggle, has led to distinct periods of conflict in the industry. This paper analyses the basis and continuation of the problem.     

Notes and Comments

Comment by John R. Clark

Comment by Kem Lowry

Comment by Stephen B. Olsen

Response by Jens Sorensen     

The demand for local access to coastal recreation in southern New England

Coastal lands provide popular outdoor recreation opportunities including beach recreation, fishing, boating, and wildlife viewing. Published studies measuring the demand for access to coastal lands generally have focused on the recreational value of intensively used beaches, which comprise only a portion of the New England coastline. This article examines the recreational demand for coastal access to a local, free‐access site in southern New England. The study uses data obtained from on‐site interviews conducted during the summer of 1995 at Gooseberry Island, Massachusetts. The estimated average value of a visitor‐day during the summer season is $3.06 for weekdays and $4.18 for weekends and holidays. While these values are at the low end of the range of values published in existing literature addressing beach recreation, the aggregate value of recreation benefits derived from public access to undeveloped coastal areas likely are significant.     

The authors in this issue

Cambridge is a small free standing city in the UK with a population of 105 000. In recent years it has endured a worsening congestion problem essentially as a result of employment growth within the city and the narrow street layout. This is not a unique problem but one which is particularly acute in historic cities. In 1990, Congestion Metering was advanced, in addition to a number of other measures, as a means of managing traffic demand within the city. It has generated a great deal of interest internationally, particularly the field trial which took place in October 1993. This was the first time that any form of road pricing had been demonstrated practically in the UK. The aim of this article is to provide a review, establishing why the idea of Congestion Metering was originally considered and why, at least in the short to medium term, it is unlikely to be implemented in a Cambridge context. The process by which, if adopted, it is envisaged that Congestion Metering would be introduced is outlined, and the relative merits and potential weaknesses of such a demand management measure. Finally, the author considers the real problem of ‘public scepticism’ which needs to be addressed if Congestion Metering is to avoid the pitfalls which have bedevilled other road pricing schemes world‐wide.     

Automated detection of lane-blocking freeway incidents using artificial neural networks

A major source of urban freeway delay in the U.S. is non-recurring congestion caused by incidents. The automated detection of incidents is an important function of a freeway traffic management center. A number of incident detection algorithms, using inductive loop data as input, have been developed over the past several decades, and a few of them are being deployed at urban freeway systems in major cities. These algorithms have shown varying degrees of success in their detection performance. In this paper, we present a new incident detection technique based on artificial neural networks (ANNs). Three types of neural network models, namely the multi-layer feedforward (MLF), the self-organizing feature map (SOFM) and adaptive resonance theory 2 (ART2), were developed to classify traffic surveillance data obtained from loop detectors, with the objective of using the classified output to detect lane-blocking freeway incidents. The models were developed with simulation data from a study site and tested with both simulation and field data at the same site. The MLF was found to have the highest potential, among the three ANNs, to achieve a better incident detection performance. The MLF was also tested with limited field data collected from three other freeway locations to explore its transferability. Our results and analyzes with data from the study site as well as the three test sites have shown that the MLF consistently detected most of the lane-blocking incidents and typically gave a false alarm rate lower than the California, McMaster and Minnesota algorithms currently in use.