bluuebunny/crossref_metadata_2025_split huggingface dataset:
Public participation in the Helsinki crosstown artery project
Authors: Talvitie Antti , Pearson Tuija 
Published: January 2010

AbstractThe paper reports on citizen participation in the planning of Helsinki Crosstown Artery in the early 1990s. The project had difficult beginnings: there was disagreement on benefits and costs, a broad‐based mistrust, and an externally prepared work program which sought to resolve these emotional disagreements using technical information. The citizen participation program consisted of Open Houses preceded by a newsletter, newspaper advertisements, a 1–800 Number hotline, and a responsiveness summary. Additional techniques were used as necessary. The design of the citizen participation program was sound and inexpensive, provided for continuous evaluation, and drove the planning work. Substantial informed consent was created in the project. The main conclusion from the present case study is this: in planning and in public participation emotional issues dominate and can rarely be solved by “rational” studies. The citizen participation technique evolved during the study is transferable and has broad planning implications.
Successful community participation in local traffic proposals
Authors: Hathway Tony 
Published: January 2010

AbstractThis paper examines the successes and failures of intensive community involvement in redesigning city streets. It examines the progress of an ongoing study of traffic and parking in the architecturally sensitive conservation area of Clifton, Bristol. It illustrates how all sections of the community can work together with the local authority to recognise issues, examine options and reach an agreed action plan.The process was not trouble free. Difficulties arose as the implications of the detailed proposals became clear to the wider public and the realisation that work would shortly commence in their street. The paper explains how different types of people become involved in the project as work progresses from the strategic level to detailed design and implementation.
Testing and evaluation of a multi‐commodity multi‐modal network flow model for disaster relief management
Authors: Haghani Sei‐Chang Oh Ali 
Published: January 2010

AbstractThe results of the testing of an optimization model in disaster relief management are presented. The problem is a large‐scale multi‐commodity, multi‐modal network flow problem with time windows. Due to the nature of this problem, the size of the optimization model grows extremely rapidly as the number of modes and/or commodities increase.The formulation is based on the concept of a time‐space network. Two heuristic algorithms are developed. One exploits an inherent network structure of the problem with a set of side constraints and the other is an interactive fix‐and‐run heuristic. The findings of the model‐testing and a wide range of sensitivity analyses using an artificially generated data set are presented. Both solution procedures prove to be efficient and effective in providing close to optimal solutions.
A simulation model of the bus transitway (TRNSIM)
Authors: Zargari Shahriar A. , Khan Ata M. 
Published: January 2010

AbstractFor planning and design of a bus rapid transit system and for the analysis of multimodal corridors, methodology is required for simulating bus traffic operation on a Transitway. Macroscopic models of vehicle flow are gaining popularity due to their capability to analyze complex operations and yet offer efficiency in development and applications. A macroscopic model is developed for the investigation of travel time, energy and emissions that correspond to bus volume levels on the Transitway. This paper describes the travel time part of the model. The model treats stochastic characteristics of bus traffic and passenger activities. Also, safety regimes in vehicle flow and factors affecting minimum headways in station areas are incorporated. The model is verified by comparing simulated travel time for the Ottawa‐Carleton Transitway with actual data.
An automatic segmentation procedure for studying variations in mode choice behaviour
Authors: Badoe Daniel A. , Miller Eric J. 
Published: January 2010

AbstractUrban areas are very complex and heterogeneous in terms of their population composition and activity systems. The transport system, modal choices and service levels available to the population also varies considerably across space and time. These similarities and differences in choices and levels of explanatory variables facing individual tripmakers have to be explicitly considered in any study of transport behvior. The common practice has been to include user attributes, in addition to the system characteristics, in the modal utility functions to help capture differences in choice behavior across individuals. However, it could well be that the mode‐choice behavior of a segment of the population is fundamentally different from other segments of the population. In view of this, some studies have applied segmentation schemes to help identify the subgroups of presumably different travel responses. Typically, such schemes have been based on stratification of the population by a single variable, chosen either based on a priori notions or one‐way cross tabulations. These have their shortcomings. Thus, this paper develops an analytical procedure that simultaneously deals with level of service, socioeconomic and spatial factors to determine the relative role each plays in determining travel behavior. The procedure is applied to data from the Toronto region to illustrate its use.
Establishing a basic guideline for the selection of hov alternatives: The taiwan approach
Authors: Chang Tang‐Hsien , Chiu Hsien‐Ming 
Published: January 2010

AbstractThis paper presents a method for applying HOV lanes to the Taiwan freeway system. The purpose is to develop guidelines for designating alternative HOV lanes on existing freeways. Simulation results suggest that introducing HOV facilities would significantly improve traffic delays for short and long term steady states, especially during peak hour traffic flow. To ensure the success of the proposed HOV facilities, special attention should be devoted to public awareness and communication, as well as to related planning, education and enforcement issues.
Hybrid model of taxonomy and genetic algorithms for finding shortest path in transportation systems
Authors: Soehodho Sutanto 
Published: January 2010

AbstractThis is research is aimed at elaborating a new methodology of shortest path finding by utilizing the methods of taxonomy and genetic algorithms. Combination of the two is developed and called Genetic Taxonomy Evaluator (GTE) which is expected to be an alternative tool to solve shortest path finding problems within the transportation networks While keeping the properties of transportation networks Taxonomy Reconstructor (TR) transforms the network representation into taxonomic structure, which is hierarchically shaped, based on problem to be solved. In the process TR also creates classification of nodes in the network. This classification provides facilities to isolate the problem to the core, and the criteria that can be inserted in the Genetic Algorithm (GA). A package program for GTE is then developed in C‐Language and performance of model is analyzed upon a medium scale of Sioux‐Falls City Network. In conclusion, it is found that to achieve fairly quick convergence of GTE computation several optimal parameters of GA should be determined prior to searching for the shortest paths. And since GTE has only been applied to limited case, it is suggested that the findings could be a threshold for further researches.
The supply side of the automated people mover market: A spectrum of choices
Authors: Didrikson Paul V. , Nickerson Kathryn 
Published: January 2010

AbstractA survey of the supply side of the Automated People Mover (APM) market over the past ten to fifteen years shows some significant trends. In the nineteen eighties, suppliers concentrated on designing, developing, and marketing unique technologies. Thus, each supplier tended to specialize in a single technology, with some variations in size and capacity. With the present growth of the APM market, several APM suppliers have developed, either through mergers or acquisitions, a more diversified range of technologies to meet a variety of system requirements in terms of capacity, service and budget considerations. As a result of this trend, the transit industry now has a full range of technologies that are well proven and capable of meeting the different needs, special operational requirements, and budgets of its potential clients.
Evaluation of network reliability using stochastic user equilibrium
Authors: Asakura Yasuo 
Published: January 2010

AbstractWhen we evaluate the performance reliability of a network, it is necessary to describe user's behaviour in a partially degraded network. This paper shows that the Stochastic User Equilibrium (SUE) model assuming user's route choice behaviour under uncertain network conditions can be incorporated in the performance reliability model. The effects of providing information are analyzed using the SUE model with two different groups of route choice; informed drivers and non informed drivers. It is found that providing information generally increases network performance reliability. This depends, however, on the probability distribution of the network states.
A traffic flow simulator for network reliability assessment
Authors: Lam William H. K. , Xu G. 
Published: January 2010

AbstractThis paper investigates the transportation network reliability based on the information provided by detectors installed on some links. A traffic flow simulator (TFS) model is formulated for assessing the network reliability (in terms of travel time reliability), in which the variation of perceived travel time error and the fluctuations of origin‐destination (OD) demand are explicitly considered. On the basis of prior OD demand and partial updated detector data, the TFS can estimate the link flows for the whole network together with link/path travel times, and their variance and covariance. The travel time reliability by OD pair can also be assessed and the OD matrix can be updated simultaneously. A Monte Carlo based algorithm is developed to solve the TFS model. The application of the proposed TFS model is illustrated by a numerical example.
A review of the state of the art of personal rapid transit
Authors: Anderson J. Edward 
Published: January 2010

AbstractThe paper begins with a review of the rational for development of personal rapid transit, the reasons it has taken so long to develop, and the process needed to develop it. Next I show how the PRT concept can be derived from a system‐significant equation for life‐cycle cost per passenger‐mile as the system that minimizes this quantity. In the bulk of the paper I discuss the state‐of‐the‐art of a series of technical issues that had to be resolved during the development of an optimum PRT design. These include capacity, switching, the issue of hanging vs. supported vehicles, guideways, vehicles, control, station operations, system operations, reliability, availability, dependability, safety, the calculation of curved guideways, operational simulation, power and energy. The paper concludes with a listing of the implications for a city that deploys an optimized PRT system.
Greenhouse gas reduction potential of advanced traffic control
Authors: Alkadry Abdulkader , Khan Ata M. 
Published: January 2010

AbstractReducing greenhouse gas (GHG) emissions from transportation in the context of the climate change issue and the associated Kyoto Agreement of 1997 is a challenge. Since urban transportation is a major contributor to greenhouse gases, measures are required to reduce these emissions. Given that during peak periods, road vehicles propelled by petroleum fuel‐based internal combustion engines produce a high level of GHG emissions due to stop and go operations, measures to improve traffic flow can play an effective mitigation role. This paper describes a simulation‐based methodology and a case study for the quantification of GHG emission reduction owing to advanced traffic control systems.
The planning of aircraft routes and flight frequencies in an airline network operations
Authors: Yan Shangyao , Wang Chung‐Rey 
Published: January 2010

AbstractThis research is aimed at developing a model that maximizes system profit when determining the aircraft routes and flight frequencies in a network. The model employs network flow techniques to effectively collect or deliver passenger flows from all origins to all destinations using non‐stop and multi‐stop flights in multi‐fleet operations. The model was formulated as a multi‐commodity network flow problem. A Lagrangian‐based algorithm was developed to solve the problem. To test the model in practice, a case study is presented.
Characterization of incidents on an urban arterial road
Authors: Luk James Y. K. , Chung Edward C. S. , Sin Francis Y. C. 
Published: January 2010

AbstractThe early warning of incidents on urban arterial roads in a congested city can reduce delay, accidents and pollutant emission. Freeway incident detection systems implemented in recent years may not be suitable for arterial incidents. Arterial incident detection is more difficult. The traffic flow on an arterial road is not conserved from the upstream end of a road link to the downstream end because urban traffic does turn in and out of side‐streets, car‐parks and local residences. Roadside friction such as kerbside parking and shopping traffic also tends to create apparent incidents which are in fact frequent and normal events. This paper develops a definition for an arterial incident and describes a case study on an arterial road in Melbourne, Australia. The study shows that detectors upstream of an incident are more useful for incident detection than downstream detectors. It also identifies occupancy and speed as the appropriate parameters to characterise and detect arterial incidents.
A schedule‐based dynamic transit network model — Recent advances and prospective future research
Authors: Tong C. O. , Wong S. C. , Poon M. H. , Tan M. C. 
Published: January 2010

AbstractUsing the schedule‐based approach, in which scheduled timetables are used to describe the movement of vehicles, a dynamic transit assignment model is formulated. Passengers are assumed to travel on a path with minimum generalized cost that consists of four components: in‐vehicle time; waiting time; walking time; and a time penalty for each line change. A specially developed branch and bound algorithm is used to generate the time‐dependent minimum path. The assignment procedure is conducted over a period in which both passenger demand and train headway are varying. This paper presents an overview of the research that has been carried out by the authors to develop the schedule‐based transit assignment model, and offers perspectives for future research.
Fare deregulation of transit services: Winners and losers in a competitive market
Authors: Lo Hong K. , Yip C. W. 
Published: January 2010

AbstractCurrently, the Hong Kong government imposes fare control on buses and taxi while the rail services are immune to such a control. This study examined four scenarios of fare deregulation on transit services by considering three related parties of a transit system – service providers, travelers, and society in general, with their respective objectives represented as – revenue, travel utility, and congestion. Analyzing the resultant impacts on these three parties, we found that a different regulatory environment would favor or hurt a different set of parties. There is no clear win‐win situation for all parties. Deciding a socially acceptable regulatory environment is likely to involve difficult tradeoffs among these parties.
Behavioral monitoring of public transport users through a mobile communication system
Authors: Asakura Yasuo , Hato Eiji 
Published: January 2010

AbstractThere are various activities now taking place in ITS research and development in Japan. Advanced information and communication technologies have been applied to improve public transport systems, as well as automated highway systems. In the first part of this paper, we show three examples of public transport systems recently developed in ITS environment. These transport systems are operated in local cities and towns in Japan: the travel information system for tram users in Hiroshima, the demand responsive bus system in Nakamura and the co‐operative use of electric vehicle in Ebina. In the second part of the paper, we explain how we have monitored individual passenger on public transport using cellular phones for location positioning. Location positioning technology for mobile object is essential for the operation and management of ITS supported public transport systems. Furthermore, such accurate and detailed positioning data can be utilized for travel behaviour analysis in demand modeling. The mobile instrument and monitoring systems shown in this paper can be combined with any of the case studies of ITS application to public transport systems.
Optimization of grid bus transit systems with elastic demand
Authors: Chien Steven I‐Jy , Spasovic Lazar N. 
Published: January 2010

AbstractCurrent analytic models for optimizing urban bus transit systems tend to sacrifice geographic realism and detail in order to obtain their solutions. The models presented here shows how an optimization approach can be successful without oversimplifying spatial characteristics and demand patterns of urban areas and how a grid bus transit system in a heterogeneous urban environment with elastic demand is optimized. The demand distribution over the service region is discrete, which can realistically represent geographic variation. Optimal network characteristics (route and station spacings), operating headways and fare are found, which maximize the total operator profit and social welfare. Irregular service regions, many‐to‐many demand patterns, and vehicle capacity constraints are considered in a sequential optimization process. The numerical results show that at the optima the operator profit and social welfare functions are rather flat with respect to route spacing and headway, thus facilitating the tailoring of design variables to the actual street network and particular operating schedule without a substantial decrease in profit. The sensitivities of the design variables to some important exogenous factors are also presented.
Express guideway transit: A case for further development in transit automation
Authors: Batelaan Justin 
Published: January 2010

AbstractSafe and reliable coupling and decoupling of cars from a moving train is feasible with further developments in linear motor propulsion and control of transit vehicles. This allows the last car of a train to decouple and stop at a station for a relative long dwell time, before it accelerates and is coupled to a following train. Controlled doors in front and rear of the transit vehicle permit passengers to walk through the train to the car which stops at their destination. A proposed transit system using these features is described and compared to Bombardier's Advanced Rapid Transit. Potential advantages are high schedule speed, uncrowded trains, smaller and more stations, low energy requirements and a smaller vehicle fleet.
The future for in‐vehicle information systems: The technology and its impacts
Authors: Bell Michael G H 
Published: January 2010

AbstractIn‐vehicle information has an important social role to play in improving the efficiency and safety of travel by all modes. In this review, three generations of system are identified. The first generation consists of simple in‐vehicle units relying heavily on external data. The second generation has more sophisticated in‐vehicle units with colour TFT screens and DVD players for maps and entertainment. The third generation again makes use of external data, using the mobile phone network to download map sections and other data as and when required, thereby obviating the need for beacons and map CDs. For locationing, GPS (and/or Galileo, the European version of GPS) remains the favoured technology. Portable devices offering multi‐modal information could improve inter‐modal transport efficiency.
A traffic flow simulator for short‐term travel time forecasting
Authors: Lam William H. K. , Chan K. S. , Shi John W. Z. 
Published: January 2010

AbstractThis paper presents an off‐line forecasting system for short‐term travel time forecasting. These forecasts are based on the historical traffic count data provided by detectors installed on Annual Traffic Census (ATC) stations in Hong Kong. A traffic flow simulator (TFS) is developed for short‐term travel time forecasting (in terms of offline forecasting), in which the variation of perceived travel time error and the fluctuations of origin‐destination (O‐D) demand are considered explicitly. On the basis of prior O‐D demand and partial updated detector data, the TFS can estimate the link travel times and flows for the whole network together with their variances and covariances. The short‐term travel time forecasting by O‐D pair can also be assessed and the O‐D matrix can be updated simultaneously. The application of the proposed off‐line forecasting system is illustrated by a numerical example in Hong Kong.
Adaptive traffic control system: Control strategy, prediction, resolution, and accuracy
Authors: Lo Hong K. , Chow H. F. 
Published: January 2010

AbstractRecent advances in traffic control methods have led to flexible control strategies for use in an adaptive traffic control system (ATCS). ATCS aims at controlling the imminent traffic, which is yet to arrive and hence not known perfectly. Therefore, volume prediction is an essential part. Associated with the prediction are two aspects: resolution and accuracy. Recent studies indicate a tradeoff between prediction resolution and accuracy: finer resolutions, larger errors. It is imperative to study the relationship and tradeoff between the control strategy, prediction resolution, and its associated error, which are crucial to the development of ATCS. This study investigates this relationship through an extensive simulation of scenarios in Hong Kong with a recently developed dynamic traffic control model, DISCO. Based on the Hong Kong scenarios conducted with DISCO, the major findings include: (i) the importance of resolution outweighs that of error; (ii) dynamic timing plans generally outperform time‐invariant timing plans; (iii) up to a certain extent, overestimated predictions lead to better results than underestimated predictions.
Automated transit headway control via adaptive signal priority
Authors: Ling Kenny , Shalaby Amer 
Published: January 2010

AbstractThis paper reports on a study that developed a next‐generation Transit Signal Priority (TSP) strategy, Adaptive TSP, that controls adaptively transit operations of high frequency routes using traffic signals, thus automating the operations control task and relieving transit agencies of this burden. The underlying algorithm is based on Reinforcement Learning (RL), an emerging Artificial Intelligence method. The developed RL agent is responsible for determining the best duration of each signal phase such that transit vehicles can recover to the scheduled headway taking into consideration practical phase length constraints.A case study was carried out by employing the microscopic traffic simulation software Paramics to simulate transit and traffic operations at one signalized intersection along the King Streetcar route in downtown Toronto. The results show that the control policy learned by the agent could effectively reduce the transit headway deviation and causes smaller disruption to cross street traffic compared with the existing unconditional transit signal priority algorithm.