Abstract: In this paper, a simulation model for risk analysis making use of the Monte Carlo technique is devised to incorporate the uncertainty in traffic and revenue forecasts for road investment projects. The risk analysis would ...

Abstract: In this paper we present a new concept for balancing car ownership from both user demand and road network supply conditions. On the demand side, territory-wide and zonal car ownership is first estimated by an aggregate and ...

Abstract: This paper reports on the findings of pedestrian flow characteristics for different types of walking facilities in Hong Kong. Surveys were conducted during peak hours at indoor and outdoor walkways, signalized crosswalks ...

Abstract: Passenger demands on underground stations are always excessive and can cause severe congestion. The study of pedestrian behavior is particularly important in planning and design of the underground stations during peak ...

Abstract: This paper proposes a capacity-constrained traffic assignment model for strategic transport planning in which the steady-state user equilibrium principle is extended for road networks with residual queues. Therefore, the ...

Abstract: Road transport networks that exist within Eastern Asia are experiencing ever-increasing levels of demand due to rapid population growth within the region. This is especially so for interregional travel because of a continuous ...

Abstract: A new automatic incident detection algorithm based on the available data originally collected for journey time estimation in Hong Kong is proposed in this paper. Instead of installing a greater number of expensive detectors, ...

Abstract: The heteroscedasticity refers to a collection of random variables with a subpopulation that have different dispersions from others. The variable dispersion could be quantified by measures of statistical dispersion such as ...

Abstract: Origin-destination (O-D) trip matrix estimation from traffic count surveys is regarded as the most economical and effective methodology in road network analysis for transport planning and traffic management. Despite the ...

Abstract: The heteroscedasticity refers to a collection of random variables with a subpopulation that have different dispersions from others. The variable dispersion could be quantified by measures of statistical dispersion such as ...