Estimation of parking accumulation profiles from survey data

Parking accumulation profiles at car parks are time-dependent quantities that require data from lengthy observation surveys. However, it is found that car parks can be clustered into groups based on the similarity in the shape of their accumulation profiles. This procedure increases the efficiency of the survey data collected for this purpose. This paper describes a method developed to estimate aggregate parking accumulation profiles at different districts in a city. The planning of the survey conducted in Hong Kong in the year 2000 and the results of the data analysis are also described.     

Directional performance issues in evaluation and design of articulated heavy vehicles

This review of the dynamics of heavy road-vehicle systems emphasizes directional performance. The review presents information on the following topics: why are articulated vehicles used; units, hitches, and combination vehicles; multiple axle suspensions and steering systems; important performance issues; models and simulation tools; and controlling directional performance. The concluding section summarizes the material presented and provides ideas regarding the application of vehicle system dynamics concepts in developing controllers for road trains.     

Introducing alternative fuel vehicles in Hong Kong: views from the public light bus industry

Hong Kong was the first place in the world to implement a trial scheme to convert all public light buses (PLBs) on the road from diesel to alternative fuel vehicles (AFVs). The scheme, however, did not receive much support from PLB operators. At present, there is a rich literature on households’ demand for AFVs (especially in the USA). However, there have not been many studies about the demand for commercial AFVs in the business and public transport sectors. Since light buses running on alternative fuels are not widely available in the Hong Kong market, a stated preference (SP) survey was conducted to solicit the preferences of PLB operators on eight commercial vehicle attributes and seven forms of government support. The SP data are analyzed by multinomial logit (MNL) models. Detailed analyses on market segmentation and price elasticities follow. The results are of theoretical and practical significance.     

On the reserve capacities of priority junctions and roundabouts

The concept of reverse capacity of a whole junction has been used extensively in the design of signal-controlled junctions. This concept, however, has not been applied to priority junctions and roundabouts, probably because of the complicated demand and supply relationship. When the demands on the approaches to the junction increase, the capacities of those non-priority approaches reduce at different rates. This makes the calculation of reserve capacity of the whole junction not a straightforward task. Using the definition of reserve capacity of a whole junction in Allsop (1972; Transpn Res. 6, 245–255), explicit formulae for the estimation of reserve capacities of priority junctions and roundabouts are derived in this paper. Numerical examples are given to illustrate the usefulness of these formulae.     

Distributions of queue lengths at fixed time traffic signals

This paper presents a new model which studies probability distributions of queue lengths at fixed time traffic signals. It extends Haight's model for Poisson arrivals that the arrival distribution during the effective red period is general and the headway between two successive departures is not less than the minimum departure headway. Moreover, the probability generating function of the queue length, at the end of the effective red period, is derived. The probabilities of the queue lengths, at the ends of the effective green, actual red and amber periods, are also obtained. Comparison is made with Haight's model. Finally a case study for the proposed model is reported.     

Estimation of battery state-of-charge using ν-support vector regression algorithm

Accurately estimating the SOC of a battery during the electric vehicle drive cycle is a vital issue that currently remains unresolved. A support vector regression algorithm (SVR), which has good nonlinear approximation ability, a quick convergence rate and global optimal solution, is proposed to estimate the battery SOC. First, the training data and the test data required in the estimation operation are collected using the ADVISOR software, followed by normalization of the data above. Then, cross validation and grid search methodologies are used to determine the parameters in the ν-SVR model. Finally, simulation experiments have been carried out in the LIBSVM simulator. The simulation results show that, compared to the BP neural network algorithm, the ν-Support Vector Regression algorithm performs better in estimating the battery SOC.     

Two-port network based bilateral control of a steer-bywire system

Steer-by-wire (SBW) system which is characterized by variable steering feel, better active safety, unmanned drive, has been widely studied to realize a distinctive driving experience. Control strategy acts as a key part of SBW system to achieve the goals. In this paper, a control strategy by bilateral control structure for steer-by-wire system is proposed. To make SBW system has the same function of conventional steering systems, the controller is designed to realize desired tracking control and realistic road feel feedback. The control of position and torque for each actuator is taken as two ports for the control network. Based on different control loop, two kinds of bilateral control is investigated respectively. The hardwarein- the-loop experiment platform of SBW is developed by the reconfiguration of electric power steering system. The test results are compared to show the performance of different control loops.     

La logistique urbaine à l’épreuve du facteur 4

In this paper, we are putting forward a methodology and results from a simulation of different town development scenarios, aimed at reducing the impact of greenhouse gas production from the exchange of goods by 75%. The state-of-the-art scenarios are designed based on combining elements relating to recent planning work on town transport systems in France, and empirical results based on surveys and urban logistics modelling work. It shows a set of relevant determinants of potential changes in the formation of goods flows within the town. Based on the fact that, in France, more than half of the car-equivalent vehicle-km produced by the transportation of goods are as a result of households using their cars to go shopping, the scenarios are designed according to a systematic approach to urban mobility of goods and people. They bring together organisational aspects (changes to the urban goods movement system) and aspects of planning and land use, especially with regard to flow generators such as factories, warehouses, shops and households. The calculations, allowing the measurement of the impact of these scenarios on the production of greenhouse gases, are carried out using a model that combines the changes between economic production activities on the one hand, and the changes to household purchases on the other. As a result, organisational changes are proving to be an essential addition to a policy for increasing the density of the urban fabric.