CS Transport (France)

In tourist destinations with limited road and parking capacities, seasonal surges in private vehicle traffic often cause external diseconomy, including congestion and traffic calming issues. Conventional infrastructure-based solutions for tourist parking management are frequently too large or inflexible to address spatially and temporally localized problems effectively. This study investigates a compact, deployable parking guidance system designed to mitigate traffic issues caused by private tourist vehicles accessing a narrow street. A field experiment was conducted in Apr 2025 at Higashi-Hazu Beach, Nishio City, Japan. A real-time vehicle counting system is developed for an ungated seaside parking lot using only two roadside Light Detection and Ranging (LiDAR) sensors to monitor the entries and exits at access points. Accuracy validation against video recordings confirms consistent detection performance even under high-traffic and mixed pedestrian conditions. To proactively guide drivers, a Variable Message Sign (VMS) dynamically displays the congestion status (“Congested”, or “Full”) at a key intersection preceding a narrow access street. The display content is automatically updated based on real-time vehicle counts obtained from the LiDAR sensors. Comparative analysis between periods with and without the VMS reveal a significant increase in vehicles diverting to a fringe parking lot during “Congested” conditions when the sign is active. This study demonstrates that a compact and deployable LiDAR-based guidance system can affect driver behavior and contribute to more sustainable parking management in tourism-heavy regions, mainly in areas where the conventional methodology is too extensive to implement.

The technology of autonomous vehicles is gaining more and more emphasis these days. In the near future the technological developments will make it possible for vehicles to travel on the roads without human intervention. However, downstream users have differing views on this new mode of transport. The aim of our research was to explore the opinions of different social generation groups and traffic groups about fully autonomous self-driving (SAE Level 5). In our research, we conducted an online self-report questionnaire survey. The questionnaire was completed by 223 people. The results were analyzed from several perspectives. The results showed that opinions and expectations in the field of autonomous vehicles differed by generation group, gender and primary mode of transport.

Last year’s submission canvassed judicial decisions that were released prior to, and post-implementation of, COVID-19 restrictions. The advent of COVID-19 caused unprecedented economic and social disruption and no industry or social institution was immune to its effect. Alberta was already attempting to manage one of the highest unemployment rates among the provinces when the COVID-19 pandemic exacted its multi-faceted toll. One aspect was a serious decline in the demand for oil, which further impacted oil prices, and the very manner in which energy industry participants would operate in the near and longer terms. The judiciary, and the broader legal system, suffered no less an impact, and extraordinary measures were taken to maintain the rule of law and preserve meaningful access to justice. Notwithstanding the extraordinary circumstances all have endured since March 2020, many reported decisions of significance to energy industry participants have been released by Canadian courts over the past year. This article summarizes a selection of key decisions covering developments in the Canadian law of contract, energy, environment, insolvency, Aboriginal, employment and labour, minority shareholder’s rights, as well as developments in civil litigation procedure. In each topic area the identified cases are reviewed with respect to their facts, a summary of the decision, and a brief commentary as to the implications or general significance of the case.

Abstract Over the last decades, the search for fast and efficient transportation systems has raised the interest toward maglev technologies. In this scenario, the Hyperloop paradigm is regarded as a breakthrough for future mobility. However, its practical implementation requires the solution of key shortcomings. Among these, the stability of the electrodynamic levitation system remains partially unexplored. The state of the art presents numerous attempts to attain stable behavior. In recent works, the stabilization of maglev vehicles has been addressed only for the vertical dynamics. Nevertheless, stable operation of all degree-of-freedom is required for a successful implementation of these transportation systems. The present paper addresses the full stabilization of a downscaled vehicle where levitation and guidance are provided by electrodynamic means. To this end, a design methodology supported by analytical modeling is proposed, where the degree-of-freedom are stabilized by suitably introducing secondary suspension elements. The design of the secondary suspension and the guidance system is obtained through the optimization of stability and dynamic performance. Then, a multibody model is developed. Both numerical approaches are compared in the frequency domain for validation purposes. Finally, the multibody model is simulated in the time domain to assess system performance in the presence of track irregularities and evaluate coupling effects between the degree-of-freedom.

BEST PATHS (acronym for “BEyond State-of-the-art Technologies for rePowering ac corridors and multi-Terminal HVDC Systems”) is a collaborative project of 40 leading European organizations from science and industry, supported by the 7th Research Framework Programme of the European Commission. The project investigates the feasibility of technological innovations that could advance high-capacity transmission links. These innovations include a demonstrator project dedicated to superconducting electric lines, which aims to validate the novel MgB2 technology for GW-level HVDC power transmission. The four-year project will thus demonstrate the operation of a full-scale 320 kV MgB2 monopole cable system that can transfer up to 3.2 GW. This paper focuses on the design and development activities for the 10 kA cable conductor, which were carried out in the first two years of the project.

Preventive, proactive airside, pre-take-off safety in civil air traffic from a new viewpoint with a new toolset on a more exact way with sustaining all necessary principles - to explicate such and similar thoughts is the aim of the paper.

This paper describes the results of a research project that aimed to establish passenger values of crowding on public transport services in the Paris region. Qualitative research, stated preference (SP) experiments, and passenger counts and surveys were conducted to obtain such values. A simple method was developed to quantify the passenger benefits of specific public transport projects aiming to reduce crowding on existing lines. This method was applied in a case study to the regional rail (RER) RER Line E extension project. With regard to the value of crowding, the research indicated that the perceived disutility of crowding could be more accurately described as a constant disutility per trip than as a travel time multiplier. However, for ease of application often the multiplier formulation was preferred. When the value of crowding was expressed as a travel time multiplier, values were obtained ranging from 1.0 when all passengers could be seated to 1.7 for standing bus passengers when the vehicles reached their maximum capacity. Also for seated passengers, multipliers well above 1.0 were observed for (highly) congested vehicles (maximum value = 1.5 for bus passengers). These values were applied in a case study that estimated the effects of an extension of the regional rail line RER E in the western direction, partially running parallel to the existing RER Line A. This extension would reduce the current (very) high crowding levels on the RER A and B lines to more moderate levels and generate benefits of about €23 million per year.

Abstract An estimation approach that allows recovering of the traffic state is proposed in this paper. The method used is based on numerical differentiation, which does not need any integration of differential equations and turns out to be quite robust with respect to perturbations and measurements noises. Numerical simulations, carried-out by using the so-called Cell Transmission Model (CTM) demonstrate the relevance of the proposed on-line estimation scheme.