Academic literature on the topic 'Toll roads Traffic congestion'

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Journal articles on the topic "Toll roads Traffic congestion"

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Matsuda, Waka, Yukihiro Tsukada, and Masahiko Kikuchi. "Flexible Charge Measures Used on Toll Roads." Transportation Research Record: Journal of the Transportation Research Board 1932, no. 1 (January 2005): 137–46. http://dx.doi.org/10.1177/0361198105193200116.

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In fiscal 2003, the Road Bureau of the Ministry of Land, Infrastructure, and Transport in Japan performed demonstration projects concerning diverse and flexible charge measures for toll roads. The goals were to promote the effective use of roads by encouraging traffic to switch from general purpose roads to toll roads, improving roadside environments, mitigating congestion, and promoting traffic safety measures. This study analyzes the results of the 22 projects. As a result of the bureau's efforts, traffic on the toll-free general purpose roads decreased and traffic on the toll roads increased, with traffic congestion in the affected areas subsequently eased. The projects that were intended to eliminate commuter congestion in regional cities were in many cases particularly effective. However, this effectiveness varied according to the setting of the toll and the interchange section, the type of vehicles involved, the discount time zone, and the locational relationship between the general road and the toll road.
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Najafi, Fazil T., Fadi Emil Nassar, and Paul Kaczorowski. "Paying Equitably for Urban Congestion through National Road Pricing System." Transportation Research Record: Journal of the Transportation Research Board 1558, no. 1 (January 1996): 60–66. http://dx.doi.org/10.1177/0361198196155800109.

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Automated toll collection (ATC) systems have been implemented successfully in the United States to collect tolls on bridges and at tunnels and turnpikes. A conceptual national automated road pricing system (NARPS) is described. NARPS consists of a nationwide application of an integrated and coordinated ATC system. Its primary purpose is to collect variable tolls on congested urban roads to improve traffic distribution and the overall efficiency of the highway system. The components of the proposed system are transponders, detectors, and processors used to automatically identify approaching vehicles at normal speed, calculate applicable tolls, and maintain local data bases of all tolls and vehicles to be processed remotely in a control center. A nationwide application of an integrated ATC system offers numerous significant advantages: cost savings, efficiency, traffic management, and a host of secondary applications that are not feasible with localized ATC systems. The management of the system is simplified by billing only drivers who exceed a threshold toll amount, thereby exempting the majority of drivers in rural and other areas.
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Jiang, Nan, Xiaoning Zhang, and Hua Wang. "Simultaneous Optimization of Road Tolls and Tradable Credits in Public-private Mixed Networks." PROMET - Traffic&Transportation 29, no. 6 (December 21, 2017): 603–11. http://dx.doi.org/10.7307/ptt.v29i6.2410.

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This paper investigates a hybrid management policy of road tolls and tradable credits in mixed road networks with both public and private roads. In the public sub-network, a tradable credit scheme is applied to mitigate traffic congestion. In the private sub-network, tolls are collected by the private company, but the toll levels and toll locations are determined by the government. The purpose of toll charge is two-fold: on the one hand, the government uses it as a tool for mitigating congestion; on the other hand, a threshold of revenue should be guaranteed for the profitability of the private company. A bi-level programming model is formulated to minimize the total travel time in the network by taking into account the user equilibrium travel behaviour and the revenue requirement of private firms. To obtain a global optimum solution, the bi-level model is transformed into an equivalent single-level mixed integer linear program that can be easily solved with commercial software. Numerical examples are provided to demonstrate the effectiveness of the developed model and the efficiency of the proposed algorithm. It is shown that the mixed management schemes can achieve favourable targets, namely, joint implementation of road tolls and tradable credits can effectively mitigate traffic congestion and meanwhile maintain reasonable revenue for the private company.
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Joksimovic, Dusica, Michiel C. J. Bliemer, and Piet H. L. Bovy. "Optimal Toll Design Problem in Dynamic Traffic Networks with Joint Route and Departure Time Choice." Transportation Research Record: Journal of the Transportation Research Board 1923, no. 1 (January 2005): 61–72. http://dx.doi.org/10.1177/0361198105192300107.

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Road pricing is one of the market-based traffic control measures that can influence travel behavior to alleviate congestion on roads. This paper addresses the effects of uniform (constant, fixed) and time-varying (step) tolls on the travel behavior of users on the road network. The problem of determining optimal prices in a dynamic traffic network is considered by applying second-best tolling scenarios imposing tolls only to a subset of links on the network and considering elastic demand. The optimal toll design problem is formulated as a bilevel optimization problem with the road authority (on the upper level) setting the tolls and the travelers (on the lower level) who respond by changing their travel decisions (route and departure time choice). To formulate the optimal toll design problem, the so-called mathematical program with equilibrium constraints (MPEC) formulation was used, considering the dynamic nature of traffic flows on the one hand and dynamic pricing on the other. Until now, the MPEC formulation has been applied in static cases only. The model structure comprises three interrelated levels: (a) dynamic network loading, (b) route choice and departure time choice, and (c) road pricing level. For solving the optimal toll design problem in dynamic networks, a simple search algorithm is used to determine the optimal toll pattern leading to optimization of the objective function of the road authority subject to dynamic traffic assignment constraints. Nevertheless, uniform and time-varying pricing is analyzed, and a small hypothetical network is considered.
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Aung, Nyothiri, Weidong Zhang, Sahraoui Dhelim, and Yibo Ai. "T-Coin: Dynamic Traffic Congestion Pricing System for the Internet of Vehicles in Smart Cities." Information 11, no. 3 (March 9, 2020): 149. http://dx.doi.org/10.3390/info11030149.

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Alleviating traffic congestion is one of the main challenges for the Internet of Vehicles (IoV) in smart cities. Many congestion pricing systems have been proposed recently. However, most of them focus on punishing the vehicles that use certain roads during peak hours, neglecting the proven fact that rewards can encourage drivers to follow the rules. Therefore, in this paper, we propose a new congestion pricing system based on reward and punishment policies for the IoV in a smart city environment, where the vehicles are rewarded for voluntarily choosing to take an alternative path to alleviate traffic congestion. The proposed system is implemented using vehicular ad hoc networks, which eliminate the need for installing a costly electronic toll collection system. We propose a new virtual currency called T-Coin (traffic coin), that is used to reward the vehicles for their positive attitude. T-Coin is also used in the tender between vehicles to manage the road reservation process. The proposed system uses dynamic pricing to adapt to peak-hour traffic congestion. Using simulated traffic on a real map of Beijing city, we prove the usefulness of T-Coin as a traffic congestion pricing system.
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Talavirya, A. Yu, and M. B. Laskin. "Risk Assessment Approach of Toll Road Operator." Statistics and Economics 18, no. 3 (July 7, 2021): 12–26. http://dx.doi.org/10.21686/2500-3925-2021-3-12-26.

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The purpose of the article is to assess the risks of a toll road operator arising in the event of traffic congestion at toll collection points. In the Russian Federation, in infrastructure projects, including toll road projects, the organizational and legal form of public-private partnership is often used. State authorities have the right to control the quality of the road management by the operator; the state can charge penalty points for low operational efficiency, leading to traffic congestion. The return on investment in infrastructure projects is of a long-term nature, therefore, the task of assessing the risks of possible losses by the toll road operator is quite relevant.Materials and methods. The main research tool is simulation modeling in the AnyLogic software environment, the analysis of the data obtained as a result of simulation was carried out in the environment of the statistical package R. The choice of tools is determined by a large number of subjective (sometimes technical) factors that significantly affect the road capacity at toll collection points, but do not lend themselves to strict formalization. Such factors include refusals to read electronic tolls, drivers changing lanes in the toll collection points, lack of money at the time of travel through the automatic toll lane, and others. All such factors are modeled in the AnyLogic environment as random variables with a rich choice of distribution functions and their parameters.Results. A simulation model of a toll collection point at an exit from a toll road has been created to analyze the throughput of a toll booth with various configurations of toll lanes, various levels of user behavior errors and the provision of drivers with electronic means of travel registration. Using the example of a toll collection point for the “Western High-Speed Diameter” motorway, the parameters of traffic congestion that occur when the number of operating toll lanes on the toll collection point decreases are estimated. In the event of congestion, for each configuration, estimates of the number of vehicles in the congestion, the length of the congestion, the waiting time in the queue at the entrance to the toll collection point at different times of the day, and the time of congestion are determined.Conclusion. Based on the results obtained, an assessment of the risks of non-compliance by the road operator with the standard for ensuring throughput can be carried out. To assess the risks of a toll road as a whole, it is advisable to use an individual simulation model for each toll collection point, taking into account the peculiarities of its geographical location, the composition of traffic at the facility, the regularity of user correspondence, as well as the impact of the surrounding transport, logistics and social infrastructure. In pronounced industrial and logistics areas of the city, in the border zones between the city and the region, an additional assessment of traffic intensity may be required to analyze the throughput of toll collection points, taking into account the daily, weekly and seasonal unevenness of the traffic flow.
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Ge, Ying-En, Kathryn Stewart, Yuandong Liu, Chunyan Tang, and Bingzheng Liu. "Investigating boundary effects of congestion charging in a single bottleneck scenario." Transport 33, no. 1 (July 13, 2015): 77–91. http://dx.doi.org/10.3846/16484142.2015.1062048.

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Many congestion charging projects charge traffic only within part of a day with predetermined congestion tolls. Demand peaks have been witnessed just around the time when the charge jumps up or down. Such peaks may not be desirable, in particular (a) when the resulting peaks are much higher than available capacities; (b) traffic speeding up to get into the charging zone causes more incidents just before the toll rises up to a higher level; or (c) traffic slowing down or parking on the roadside decreases road traffic throughput just before the toll falls sharply. We term these types of demand peaks ‘boundary effects’ of congestion charging. This paper investigates these effects in a bottleneck scenario and aims to design charging schemes that reduce undesired demand peaks. For this purpose, we observe and analyse the boundary effects utilising a bottleneck model under three types of toll profiles that are indicative of real charging schemes. The first type maintains a constant toll across the charging period, the second type allows the toll to increase from zero to a given maximum level and then decrease back to zero and the third type allows the toll to rise from zero to a given maximum level, remain at this level for a fixed period and then fall down to zero. This investigation shows that all three types of toll profiles can produce greater boundary peak demands than the bottleneck capacity. A significant contribution of this work is that instead of designing an optimal traffic congestion pricing scheme we analyse how existing sub-optimal congestion pricing schemes could be improved and suggest how observed problems may be overcome. Hence, we propose a set of extra requirements to supplement existing principles or requirements for design and implementation of congestion charging, which aim to reduce the adverse consequences of boundary effects. Concluding remarks are made on implications of this investigation for the improvement of existing congestion charging projects and for future research.
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Sullivan, Edward C., and Joe el Harake. "California Route 91 Toll Lanes Impacts and Other Observations." Transportation Research Record: Journal of the Transportation Research Board 1649, no. 1 (January 1998): 55–62. http://dx.doi.org/10.3141/1649-07.

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The 16-km (10-mi) long California State Route 91 (SR-91) variable-toll lanes entered service December 27, 1995. This facility is the first practical application of congestion-based road pricing attempted in the United States. The California and U.S. Departments of Transportation sponsored a study to observe how travelers respond over time to variable-toll pricing and the other innovative features of this unique facility. Data covering a wide range of travel and transportation issues were obtained from mid-1994 through June 1997 and analyzed for lessons to inform public policies about future applications of congestion-based pricing. The principal findings are summarized. The SR-91 toll lanes are regarded as a success in terms of both commuter acceptance and favorable opinions. Although, as expected, first-year toll revenues did not cover total annualized costs, the facility operator anticipates profitability in the near future. Impacts on corridor traffic have been positive, and, despite changes in traffic composition, the overall level of ridesharing has not been adversely affected. Fears that peak congestion-based tolls might preclude benefits to low-income commuters have not materialized, although a relationship was found between frequency of toll lane use and income level. No adverse traffic operational impacts were observed. From experience with the SR-91 variable-toll lanes, further careful experimentation with congestion-based pricing in other settings appears warranted.
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Hussain, Saajid, Di Wu, Sheeba Memon, and Naadiya Khuda Bux. "Vehicular Ad Hoc Network (VANET) Connectivity Analysis of a Highway Toll Plaza." Data 4, no. 1 (February 10, 2019): 28. http://dx.doi.org/10.3390/data4010028.

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The aim of this paper was to study issues of network connectivity in vehicular ad hoc networks (VANETs) to avoid traffic congestion at a toll plaza. An analytical model was developed for highway scenarios where the traffic congestion could have the vehicles reduce their speed instead of blocking the flow of traffic. In this model, nearby vehicles must be informed when traffic congestion occurs before reaching the toll plaza so they can reduce their speed in order to avoid traffic congestion. Once they have crossed the toll plaza they can travel on at their normal speed. The road was divided into two or three sub-segments to help analyze the performance of connectivity. The proposed analytical model considered various parameters that might disturb the connectivity probability, including traveling speed, communication range of vehicles, vehicle arrival rate, and road length. The simulation results matched those of the analytical model, which showed the analytical model developed in this paper is effective.
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Mudiyono, Rachmat, and Gata Dian Asfari. "KAJIAN PENGARUH PEMBANGUNAN JALAN TOL SEMARANG - DEMAK TERHADAP KINERJA JALAN RAYA KALIGAWE." Jurnal Planologi 18, no. 1 (April 30, 2021): 132. http://dx.doi.org/10.30659/jpsa.v18i1.13316.

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The increasing movement causes traffic jams. One of the congestion occurred on Jalan Raya Kaligawe, Semarang. Jalan Raya Kaligawe is a road located close to the coast. So that when the sea water experiences high tide, the road will be inundated by tidal floods. This condition results in very high traffic jams every year. To deal with congestion and overcome the problem of sea water flooding, the government plans to build the Semarang - Demak Toll Road. With the existence of this Toll Road, it is hoped that congestion on the Kaligawe Road will be reduced. But the reduction in congestion needs research. So the researchers conducted a study on the effect of the construction of the Semarang - Demak Toll Road on the performance of the Kaligawe Highway. The purpose of this study, among others, is to determine the level of service, prediction of the diversion of traffic loads and predictions of increasing work on Jalan Raya Kaligawe. This study uses three stages in the research method, namely the identification stage, the data collection and processing stage, and the analysis and conclusion stages. The analysis technique used in this research is the formulation of traffic loading around the location due to development, both at the time and post, added with base traffic to get a real loading on the area of influence with the construction of the Semarang - Demak toll road.
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Dissertations / Theses on the topic "Toll roads Traffic congestion"

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Kwok, Shi-chung Colin. "The role of electronic road pricing in tackling traffic congestion in Hong Kong." Hong Kong : University of Hong Kong, 1999. http://sunzi.lib.hku.hk/hkuto/record.jsp?B21128832.

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Kuthy-Saenger, Juan Arturo. "Comparison study of the savings between a single and a double step toll systems." Morgantown, W. Va. : [West Virginia University Libraries], 2001. http://etd.wvu.edu/templates/showETD.cfm?recnum=1899.

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Thesis (M.S.)--West Virginia University, 2001.
Title from document title page. Document formatted into pages; contains x, 48 p. : ill. Vita. Includes abstract. Includes bibliographical references (p. 41-42).
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Kwok, Shi-chung Colin, and 郭仕聰. "The role of electronic road pricing in tackling traffic congestion in Hong Kong." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1999. http://hub.hku.hk/bib/B31952069.

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Yan, Nan, and 燕楠. "The feasibility study of implementation of ERP system in tackling traffic congestion in Hong Kong." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2013. http://hdl.handle.net/10722/195122.

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Though billions of dollars has been spent on traffic infrastructure in Hong Kong for the past decades, it is still an unsolved traffic problem. Especially in peak hours, vehicles have to pay for the traffic congestion in the way of waiting time and air pollution. The public is interested in congestion pricing as it is effective in allocating resource. Also the revenues raised in road pricing can be used to invest in transport infrastructures which will benefit the whole society, especially in Hong Kong where more than 90% trips are taken by public transit. The existing policy is that growth in the private vehicle fleet should not exceed 3% per year. Currently, the increase rate of private vehicles is much higher than 3%. This generates the need to do the feasibility of ERP system in tackling congestion in Hong Kong. The ERP system is not a new term for the public as the Hong Kong Government has done two studies about road pricing in 1983 and 1998. However, the studies did not promote the implementation of ERP system in Hong Kong for various reasons. At the same time, the ERP system has been tested successful in many areas, such as Singapore and London. Lessons learnt from the two cases will guide the implantation of ERP system in Hong Kong. The study is conducted to evaluate the proposed implementation of the ERP system and attempts to recommend on future practices in order to achieve a more efficient, equitable and flexible means of managing the road space particularly in congested areas during busy hours. Questionnaire surveys will be conducted to get data for analysis of effect of ERP system. Combined with analysis of supply of transport infrastructure in next five years, the research finding is that the ERP system is not proper to be adopt to solve traffic congestion in Hong Kong.
published_or_final_version
Urban Planning and Design
Master
Master of Science in Urban Planning
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Ekström, Joakim. "Designing Urban Road Congestion Charging Systems : Models and Heuristic Solution Approaches." Licentiate thesis, Linköping University, Department of Science and Technology, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-15747.

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The question of how to design a congestion pricing scheme is difficult to answer and involves a number of complex decisions. This thesis is devoted to the quantitative parts of designing a congestion pricing scheme with link tolls in an urban car traffic network. The problem involves finding the number of tolled links, the link toll locations and their corresponding toll level. The road users are modeled in a static framework, with elastic travel demand.

Assuming the toll locations to be fixed, we recognize a level setting problem as to find toll levels which maximize the social surplus. A heuristic procedure based on sensitivity analysis is developed to solve this optimization problem. In the numerical examples the heuristic is shown to converge towards the optimum for cases when all links are tollable, and when only some links are tollable.

We formulate a combined toll location and level setting problem as to find both toll locations and toll levels which maximize the net social surplus, which is the social surplus minus the cost of collecting the tolls. The collection cost is assumed to be given for each possible toll location, and to be independent of toll level and traffic flow. We develop a new heuristic method which is based on repeated solutions of an approximation to the combined toll location and level setting problem. Also, a known heuristic method for locating a fixed number of toll facilities is extended, to find the optimal number of facilities to locate. Both heuristics are evaluated on two small networks, where our approximation procedure shows the best results.

Our approximation procedure is also employed on the Sioux Falls network. The result is compared with different judgmental closed cordon structures, and the solution suggested by our method clearly improves the net social surplus more than any of the judgmental cordons.

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Wood, Nicholas Stephen. "Assessing the marginal cost of freeway congestion for vehicle fleets using passive GPS speed data." Thesis, Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/34798.

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This thesis examines the marginal cost of congested travel to a variety of businesses by observing time spent in congestion and estimating excess labor costs based upon the relevant value of time. The fleets in the scoping study represented commercial deliveries of goods and services, government agencies, and transit systems. Observations on limited-access expressways within the 13-county Atlanta metropolitan region were used in the analysis. Vehicles were monitored by using a passive GPS assembly that transmitted speed and location data in real-time to an off-site location. Installation and operation during the observation period required no interaction from the driver. Over 217 hours of good freeway movement during 354 vehicle-days was recorded. Rates of delay, expressed as a unit of lost minutes per mile traveled, were calculated by taking the difference in speeds observed during congestion from an optimal free-flow speed of 45 mph and dividing that by the distance traveled per segment. The difference between the 50th and 95th percentile delay rates was used as the measure for travel unreliability. Daily average values of extra time needed per fleet vehicle to ensure on-time arrivals were derived, and the median buffer across all fleets was 1.65 hours of added time per vehicle. Weekly marginal costs per fleet vehicle were estimated by factoring in the corresponding driver wages or hourly operation costs (for transit fleets). Equivalent toll rates were calculated by multiplying the 95th percentile delay rate by the hourly costs. The equivalent toll per mile traveled was representative of an equal relationship between the marginal costs of congestion experienced and a hypothetical state of free-flow travel (under first-best rules of marginal cost pricing). The median equivalent toll rates across all fleets was $0.43 per mile for weekday mornings, $0.13 per mile for midday weekdays, $0.53 per mile for afternoon weekdays and $0.01 per mile for weekday nights and weekends.
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Leaver, II Donald Richard. "Business Strategies to Improve On-Time Deliveries and Profits in Southcentral Alaska." ScholarWorks, 2015. http://scholarworks.waldenu.edu/dissertations/1223.

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Traffic congestion can cause late deliveries, decreased profits from vehicle fuel idling in traffic, and delayed distribution in tight delivery windows. The focus of this study was on developing strategies that business leaders could use to increase on-time deliveries. The conceptual frameworks for this case study were systems theory, traffic equilibrium theory, bathtub theory, and kinematic wave theory. Data were collected from semistructured interviews with 6 delivery service leaders from 3 delivery businesses in Southcentral Alaska. In addition, secondary data were collected from government information. Interview responses were coded to identify trends including delivery time, business activity, and amount of roadway congestion. Two major themes emerged from the interviews: time of day affecting when traffic congestion occurred, and limited alternate transportation routes causing congestion in Southcentral Alaska. The findings indicated that the best strategy to help reduce traffic congestion involved instituting toll optimization and high occupant vehicles lanes. The implications for effecting social change include how business leaders can help reduce traffic congestion using toll optimization, and how high occupant vehicle lanes could encourage Southcentral Alaskans to carpool.
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Aldrete, Sánchez Rafael Manuel. "Feasibility evaluation model for toll highways /." Digital version accessible at:, 1998. http://wwwlib.umi.com/cr/utexas/main.

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Xu, Wei. "Development of practical implementation methods for road pricing /." View abstract or full-text, 2006. http://library.ust.hk/cgi/db/thesis.pl?CIVL%202006%20XUW.

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Bai, Lihui. "Computational methods for toll pricing models." [Gainesville, Fla.] : University of Florida, 2004. http://purl.fcla.edu/fcla/etd/UFE0006341.

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Books on the topic "Toll roads Traffic congestion"

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Rajé, Fiona. Edinburgh, road pricing and the boundary problem: Issues of equity and efficiency : report for the Scottish Economics Policy Network June 2004. Edinburgh: Napier University, 2004.

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Gronau, Reuben. Two papers on the economics of toll roads. Jerusalem: Maurice Falk Institute for Economic Research in Israel, 1993.

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Ulberg, Cyrus G. An evaluation of public opinion about congestion pricing and tolls. [Olympia, Wash.]: Washington State Dept. of Transportation, 1995.

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United States. Congress. Senate. Committee on Commerce, Science, and Transportation. Subcommittee on Surface Transportation and Merchant Marine Infrastructure, Safety, and Security. Protecting commuters: Ensuring accountability and oversight in tolling : hearing before the Subcommittee on Surface Transportation and Merchant Marine Infrastructure, Safety, and Security of the Committee on Commerce, Science, and Transportation, United States Senate, One Hundred Twelfth Congress, second session, April 18, 2012. Washington: U.S. Government Printing Office, 2013.

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United States. Congress. Senate. Committee on Environment and Public Works. Subcommittee on Water Resources, Transportation, and Infrastructure. Congestion pricing and infrastructure financing: Hearing before the Subcommittee on Water Resources, Transportation, and Infrastructure of the Committee on Environment and Public Works, United States Senate, One Hundred Second Congress, first session, March 21, 1991. Washington: U.S. G.P.O., 1991.

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Derycke, Pierre-Henri. Le péage urbain: Histoire-analyse-politiques. Paris: Economica, 1997.

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Road pricing: Theory and practice. 2nd ed. London: Thomas Telford, 1994.

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Road pricing: Theory and practice. London: Thomas Telford, 1993.

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Lewis, Nigel C. Road pricing: Theory and practice. 2nd ed. London: Thomas Telford, 1994.

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British Library. Science Reference and Information Service., ed. Road charging in the 90s: An overview and guide to the literature. London: The British Library Science Reference and Inforamtion Service, 1994.

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Book chapters on the topic "Toll roads Traffic congestion"

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Bergendorff, Pia, Donald W. Hearn, and Motakuri V. Ramana. "Congestion Toll Pricing of Traffic Networks." In Lecture Notes in Economics and Mathematical Systems, 51–71. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-59179-2_4.

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Gomez-Suarez, Manuel A., Luis P. Pedreira-Andrade, and J. Antonio Seijas-Macias. "Approach to Congestion Optimum Toll in Traffic Networks." In Applied Optimization, 175–86. Boston, MA: Springer US, 2001. http://dx.doi.org/10.1007/978-1-4757-3357-0_11.

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YANG, H., X. ZHANG, and H. HUANG. "Determination of Optimal Toll Levels and Toll Locations of Alternative Congestion Pricing Schemes." In Transportation and Traffic Theory in the 21st Century, 519–40. Elsevier, 2002. http://dx.doi.org/10.1016/b978-008043926-6/50028-2.

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Yang, Hai, Xiaoning Zhang, and Hai-Jun Huang. "Determination of Optimal Toll Levels and Toll Locations of Alternative Congestion Pricing Schemes." In Transportation and Traffic Theory in the 21st Century, 519–40. Emerald Group Publishing Limited, 2002. http://dx.doi.org/10.1108/9780585474601-026.

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al Forhad, Md Abdullah, Md Nadim, Md Rahatur Rahman, and Shamim Akhter. "Cloud IoT-Based Mobile Agent Framework for Real-Time Traffic Information Acquisition, Storage, and Retrieval." In Smart Devices, Applications, and Protocols for the IoT, 14–33. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7811-6.ch002.

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Traffic is an inevitable problem for metro cities around the globe. Intelligent traffic management system helps to improve the traffic flow by detecting congestions or incidents and suggesting appropriate actions on traffic routing. A new and dynamic internet-based decision-making tool for traffic management system was proposed and implemented in authors' previous works. The tool needs weather, road, and vehicle-related integrated information from different data repositories. Several online web portals host real-time weather data streams. However, road and vehicle information are missing in those portals. In addition, their coverage is limited to city-level congregate information but precise road segment-based information is necessary for real-time TMS decision. Internet of things (IoT)-based online sensors can be a solution for this circumstance. As a consequence, in this chapter, an IoT-based framework is proposed and implemented with several remote mobile agents. Agents are securely interconnected to the cloud, and able to collect and exchange data through wireless communication.
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Jain, Rachna, and Kartik Nagia. "Smart Roads and Parking." In The IoT and the Next Revolutions Automating the World, 168–85. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-9246-4.ch011.

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The past few years, innovation and technology have reached new heights, much beyond laptops, iPads or smart phones. Innovation and technology is progressing with each passing day. The concepts of smart cities, smart homes, and smart vehicles, are being implemented all over in developed countries. Objects here can get connected to the internet, collect data, and channelize it in order to ease our day-to-day life. The current genre of vehicles is equipped with various kinds of sensors, CPUs, and a software system that has communication capabilities. The increase in population has resulted in more vehicles, congested streets, limited parking spaces, and compromised road safety. Research and industry have proposed many technological advancements, and incorporated a few, in vehicles, but improvements for roads have largely gone unexplored. Smart roads, or Smart highways, are the terms used to define roads having IoT-enabled technologies like smart sensors, wireless connectivity, big data, and cloud computing. They use Solar technology to minimize electricity consumption, making the technology energy efficient. Researchers claim that, in the near future, smart vehicles will not be functional without proper smart roads and smart parking systems. Smart roads and parking contribute to making the drive safe, green, and convenient. They provide real-time information to drivers regarding traffic congestion, weather conditions, natural emergencies, e.g. landslide on the mountains, ice on the roads on high terrain, etc. Smart parking systems help drivers with information regarding available parking spaces as well as warnings about incoming traffic. Smart roads are also conceptualised to be equipped with wireless electric-charging systems and electric-charging stations. Electrical energy generated by the vehicles can be used to light streetlights to provide safe navigation to drivers at night. In this chapter, the concept of Smart Roads and Smart Parking systems is elaborated in a comprehensive manner. Various technologies are highlighted which reduce traffic, limit electricity use, significantly increase safety on the roads, and design a way to use parking spaces more effectively without the need to build new roads/parking spaces. The chapter elaborates various technologies that will lay a strong foundation for smart roads such as transforming legacy roads to smart roads, solar road highways, etc. The chapter also elaborates on transforming traditional parking systems into smart parking systems.
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Choudhary, Parul, Rakesh kumar Dwivedi, and Umang Singh. "Open Threads-Enabled Mesh Networks in Vehicles for Real-Time Traffic Monitoring." In IoT and Cloud Computing Advancements in Vehicular Ad-Hoc Networks, 120–43. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-2570-8.ch006.

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The exponential increase of traffic on roads has led to numerous disastrous consequences. These issues demand an adaptive solution that ensures road safety and decreases the traffic congestion on roads. New paradigms such as Cloud computing and internet of things are aiding in achievement of the inter-communication among the vehicles on road. VANETs are designed to provide effective and efficient communication systems to develop innovative solutions but are restricted due to mobility constraints. This chapter proposes an IP-based novel framework composed of open threads integrated with VANETs exchanging information to create a mesh network among vehicles. This novel Open Threads-based infrastructure can help in achieving a more economical, efficient, safer, and sustainable world of transportation which is safer and greener. This chapter also discusses and compares various thread-enabled microcontrollers by different vendors that can be utilized to create a mesh network.
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Hassan, Said Ali, Seraj Yousef Abed, and Wael Salah Hassanein. "Analyzing and Soft Solutions to Vehicle Traffic Problems in Crowded Institutions." In Advances in Logistics, Operations, and Management Science, 189–213. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-8040-0.ch009.

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There is no doubt that the traffic problem is one of the problems faced by universities in different intensities for roads, intersections, and parklands. The negative effects of traffic congestion and bottlenecks are clear; they include extension of long waiting lines and increasing the time of transport with the consequences of ill effects. The effective solutions placed to resolve these problems need specialized studies relying on scientific methods for collecting and analyzing relevant data and drawing effective conclusions, recommendations, and solutions. The main purpose of this study is to analyze the problems of traffic congestion in crowded institutions, with realistic application to an anonymous University in Saudi Arabia as a case study and to provide the best solutions to achieve fluent flow of traffic at the present time and in the near and far future. Due to the complexity of the problem and its huge data and to facilitate the analysis process, the problem has been divided into three main sections, and the data is collected in four different ways.
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Wilshire, Howard G., Richard W. Hazlett, and Jane E. Nielson. "Routes of Ruin." In The American West at Risk. Oxford University Press, 2008. http://dx.doi.org/10.1093/oso/9780195142051.003.0010.

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The United States is more wedded to vehicles than is any other nation, and “freedom” to many Americans seemingly means driving their individual vehicles anywhere they choose. Opinion polls commonly show high proportions of U.S. citizens more concerned about gas prices, potholed highways, or restrictions on vehicle access to backcountry washes and dirt roads than about government scandals, stolen elections, or environmental damage. Unfortunately, vehicles and roads exact a huge toll on lives and health and threaten our future well-being. Driving wheeled vehicles, and constructing roads to support them, comes close to topping the list of humankind’s most environmentally damaging activities. On most soils, even foot traffic creates tracks, trails, and roads. After ancient people invented wheeled vehicles to carry their burdens and themselves, they found that running water quickly rutted and potholed the cart tracks, and gully erosion chopped them up on slopes. Rainstorms eroded the tracks, flooding the dislodged sediment into streams and creeks and burying downslope croplands. Rutted tracks prevented Roman chariots from driving as fast as they were designed to go, so the talented Roman engineers quite naturally invented paved roads—some with better staying power than asphalt highways. But Roman paving did not solve the erosion problems that roads created, and in some ways made it worse. Today, some parts of the United States contain more motorized vehicles than people. The varied vehicle uses, including military training, have vastly proliferated roads and roadlike corridors—especially numerous utility routes—across every type of American landscape. Erosional forces and their effects have not changed since Roman times, but modern engineers still fail to choose transportation routes or build roads to minimize environmental damages. The roads spread severe erosional effects everywhere, along with pervasive pollution. On top of it all, television images encourage Americans to take recreational cars, trucks, motorcycles, and all-terrain vehicles anywhere we wish. The naked ruts they create are an insidious form of road building.
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Scholz, Luca. "Protection." In Borders and Freedom of Movement in the Holy Roman Empire, 170–204. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198845676.003.0006.

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The protection of roads and rivers was often a precondition of mobility, but protection could also serve as an excuse for self-interested interference with traffic flows. This was the case on the River Weser, which was contested between the City of Bremen and the counts of Oldenburg. Bremen employed armed vessels to protect the river from privateers but also impeded Oldenburg from levying customs duties, to the point of a virtual ‘toll war’. Bremen also struggled to discipline its soldiers whose exactions sparked the protest of boatmen and the riverine population. The way in which safe conduct justified self-serving economic and political goals—on the Lower Weser as elsewhere—can be understood as a dynamic of ‘securitization’, a process in which an issue is presented as existentially threatened and requiring extraordinary emergency measures. In academic debates, some jurists sublimated these tensions into an exclusionary and selective conception of free movement.
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Conference papers on the topic "Toll roads Traffic congestion"

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Srinivas, P. R. K. S., and Tham Beng Choy. "Design & Construction of Duta – Ulu Kelang Expressway (DUKE Ph2) – Tun Razak Link (TRL) in Kuala Lumpur." In IABSE Conference, Kuala Lumpur 2018: Engineering the Developing World. Zurich, Switzerland: International Association for Bridge and Structural Engineering (IABSE), 2018. http://dx.doi.org/10.2749/kualalumpur.2018.0677.

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<p>The Duta – Ulu Kelang Expressway (DUKE) Phase 2 is an infrastructure development under transformation programmes undertaken by the Government of Malaysia through Concessionaire Konsortium Lebuhraya Utara – Timur (KL) Sdn. Bhd (KESTURI). The proposed Tun Razak Link (TRL) is a part of DUKE Phase 2 project that involves design, construction, operation and maintenance of 9km long elevated dual 2-Lane highway with 24.9m wide mainline deck including directional ramps, interchanges and ramp toll plaza in Kuala Lumpur [1]. The project alignment is in densely developed urban environment and traverses over existing arterial roads, crosses urban arterials, expressway, river and acts as an effective traffic dispersal system between existing road network to alleviate traffic congestion on at-grade local roads. The majority length of the project is an elevated structure to minimise the land acquisition, least disturbance to road users, adjoining developments and utilities. Various types of super structure viz., precast T-beams, U-Beams, crossheads, cast in-situ box girders were adopted besides various types of foundation &amp; substructure with longest span being 51m. This paper aims at presenting an insight of various types of designs, innovative methods adopted to suit the site constraints and interfacing issues to meet project timeline, cost effective design approach during construction of TRL.</p>
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Srinivas, P. R. K. S., and Tham Beng Choy. "Design & Construction of Setiawangsa – Pantai Expressway (SPE - DUKE Ph3) – Section 3 from Pandan to Setiawangsa in Kuala Lumpur." In IABSE Conference, Kuala Lumpur 2018: Engineering the Developing World. Zurich, Switzerland: International Association for Bridge and Structural Engineering (IABSE), 2018. http://dx.doi.org/10.2749/kualalumpur.2018.0644.

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<p>The Setiawangsa – Pantai Expressway (SPE - DUKE Phase 3) is an infrastructure development under transformation programmes undertaken by the Government of Malaysia through Concessionaire Lebuhraya DUKE Fasa 3 (LDF3) Sdn. Bhd. The total length of SPE mainline is 32Km besides 7 interchanges, 2 mainline toll plazas, 3 ramp toll plazas and is divided in to 4 sections [1]. The proposed Section 3 from Pandan to Setiawangsa of SPE project involves design, construction, operation and maintenance of 5km long elevated dual 2-Lane highway with 24.9m wide mainline deck besides an interchange and ramp toll plaza at AKLEH interface in Kuala Lumpur. The project alignment is located in densely developed urban environment and mainly traverses over existing arterial roads, storm water tunnel (SMART) underneath, crosses urban arterials, expressway, LRT line, river and acts as a city bypass for effective traffic dispersal system in order to alleviate traffic congestion on local at-grade roads. The project is completely on an elevated structure in the form of double deck and single deck arrangement in order to minimise the land acquisition, least disturbance to road users, adjoining developments and utilities. Various types of super structure viz., precast T-beams, U-Beams, cast in-situ / precast box girders are adopted besides different types of foundation &amp; substructure with longest span being 62m. This paper aims at presenting an insight of various types of designs, innovative methods adopted to suit the site constraints and interfacing issues to meet project timeline, cost effective design approach during the construction of Section 3 of Setiawangsa – Pantai Expressway.</p>
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Qiu, Wei, Haipeng Chen, and Bo An. "Dynamic Electronic Toll Collection via Multi-Agent Deep Reinforcement Learning with Edge-Based Graph Convolutional Networks." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/635.

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Over the past decades, Electronic Toll Collection (ETC) systems have been proved the capability of alleviating traffic congestion in urban areas. Dynamic Electronic Toll Collection (DETC) was recently proposed to further improve the efficiency of ETC, where tolls are dynamically set based on traffic dynamics. However, computing the optimal DETC scheme is computationally difficult and existing approaches are limited to small scale or partial road networks, which significantly restricts the adoption of DETC. To this end, we propose a novel multi-agent reinforcement learning (RL) approach for DETC. We make several key contributions: i) an enhancement over the state-of-the-art RL-based method with a deep neural network representation of the policy and value functions and a temporal difference learning framework to accelerate the update of target values, ii) a novel edge-based graph convolutional neural network (eGCN) to extract the spatio-temporal correlations of the road network state features, iii) a novel cooperative multi-agent reinforcement learning (MARL) which divides the whole road network into partitions according to their geographic and economic characteristics and trains a tolling agent for each partition. Experimental results show that our approach can scale up to realistic-sized problems with robust performance and significantly outperform the state-of-the-art method.
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Shu, Kun, Bei Zhou, Sheng-Rui Zhang, and Xin Zheng. "Dynamic Comprehensive Evaluation of Traffic Congestion on Urban Roads." In 20th COTA International Conference of Transportation Professionals. Reston, VA: American Society of Civil Engineers, 2020. http://dx.doi.org/10.1061/9780784482933.242.

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Jammalamadaka, Phani, Yagnesh Jarmarwala, Lin Zhou, Naveen Mokkapati, and Worapong Hirunyanitiwattana. "Evaluation of Traffic and Revenue Risks of Toll Roads and Managed Lane Facilities." In Second International Conference on Public-Private Partnerships. Reston, VA: American Society of Civil Engineers, 2017. http://dx.doi.org/10.1061/9780784480267.036.

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Sharon, Guni. "Alleviating Road Traffic Congestion with Artificial Intelligence." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. California: International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/704.

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This paper reviews current AI solutions towards road traffic congestion alleviation. Three specific AI technologies are discussed, (1) intersection management protocols for coordinating vehicles through a roads intersection in a safe and efficient manner, (2) road pricing protocol that induce optimized traffic flow, and (3) partial or full autonomous driving that can stabilize traffic flow and mitigate adverse traffic shock waves. The paper briefly presents the challenges affiliated with each of these applications along with an overview of state-of-the-art solutions. Finally, real-world implementation gaps and challenges are discussed.
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Zhang, Meng-Meng, and Jinli Wei. "Optimization for Urban Traffic Assignment by Congestion Toll Levied on Regional Expressway." In 2008 Workshop on Power Electronics and Intelligent Transportation System (PEITS). IEEE, 2008. http://dx.doi.org/10.1109/peits.2008.65.

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Pattanaik, Vishwajeet, Mayank Singh, P. K. Gupta, and S. K. Singh. "Smart real-time traffic congestion estimation and clustering technique for urban vehicular roads." In TENCON 2016 - 2016 IEEE Region 10 Conference. IEEE, 2016. http://dx.doi.org/10.1109/tencon.2016.7848689.

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Raphiphan, Panraphee, Passakon Prathombutr, Arkady Zaslavsky, and Phayung Meesad. "Real time traffic congestion degree computation for minor sensorless roads using cost efficient context reasoning." In 2010 13th International IEEE Conference on Intelligent Transportation Systems - (ITSC 2010). IEEE, 2010. http://dx.doi.org/10.1109/itsc.2010.5625230.

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Chaduvula, Siva Chaitanya, Tyler Kriegel, and Jitesh H. Panchal. "Estimation of CO2 Emissions Considering the Decisions of Multiple Drivers Within Car-Following Models." In ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-46215.

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Decisions made by the drivers on the road have a significant impact on the traffic, as well as on their vehicular emissions. Simple decisions such as accelerating at a yellow traffic signal can alter the dynamics of traffic flow and engine operating points. Especially in cities, these decisions, cumulatively, can impact large complex systems like transportation network. For example, these can lead to unstable conditions such as traffic congestion or high concentration of emissions. In order to reduce these impacts, it is necessary to understand the drivers’ decisions, their influence on other vehicles, and the resulting impacts on emissions. This need drives the main objective of this paper, which is, to understand the relationships between the drivers decisions and vehicular CO2 emissions. In this paper, we model the drivers’ decisions by introducing a utility function for each driver in a micro-transportation model. Our hypothesis is that drivers have their own safe distance not only over front headway but also on rear headway. This usually happens when the driver chooses to change from acceleration to deceleration phases. We also propose a non-linear driver model to quantify the risk attitude of a driver based on factors such as age, experience, time of journey and the number of occupants. The Full Velocity Difference Method (FVDM) represents the traffic characteristics including speed, position, and vehicle acceleration at a traffic signal better than other car-following models. Hence, FVDM is used in our simulations. Numerical simulations show that a risk prone person results in a greater fuel consumption compared to the risk averse person. Simulation results also show that decisions made by a lead vehicle can be influenced by the follower vehicles properties such as speed and position and vice versa. The results show how driver decisions can alter the vehicular CO2 emissions. The proposed model is a step towards developing a decision support tool, which can help drivers in reducing CO2 emissions.
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Reports on the topic "Toll roads Traffic congestion"

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Kodupuganti, Swapneel R., Sonu Mathew, and Srinivas S. Pulugurtha. Modeling Operational Performance of Urban Roads with Heterogeneous Traffic Conditions. Mineta Transportation Institute, January 2021. http://dx.doi.org/10.31979/mti.2021.1802.

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The rapid growth in population and related demand for travel during the past few decades has had a catalytic effect on traffic congestion, air quality, and safety in many urban areas. Transportation managers and planners have planned for new facilities to cater to the needs of users of alternative modes of transportation (e.g., public transportation, walking, and bicycling) over the next decade. However, there are no widely accepted methods, nor there is enough evidence to justify whether such plans are instrumental in improving mobility of the transportation system. Therefore, this project researches the operational performance of urban roads with heterogeneous traffic conditions to improve the mobility and reliability of people and goods. A 4-mile stretch of the Blue Line light rail transit (LRT) extension, which connects Old Concord Rd and the University of North Carolina at Charlotte’s main campus on N Tryon St in Charlotte, North Carolina, was considered for travel time reliability analysis. The influence of crosswalks, sidewalks, trails, greenways, on-street bicycle lanes, bus/LRT routes and stops/stations, and street network characteristics on travel time reliability were comprehensively considered from a multimodal perspective. Likewise, a 2.5-mile-long section of the Blue Line LRT extension, which connects University City Blvd and Mallard Creek Church Rd on N Tryon St in Charlotte, North Carolina, was considered for simulation-based operational analysis. Vissim traffic simulation software was used to compute and compare delay, queue length, and maximum queue length at nine intersections to evaluate the influence of vehicles, LRT, pedestrians, and bicyclists, individually and/or combined. The statistical significance of variations in travel time reliability were particularly less in the case of links on N Tryon St with the Blue Line LRT extension. However, a decrease in travel time reliability on some links was observed on the parallel route (I-85) and cross-streets. While a decrease in vehicle delay on northbound and southbound approaches of N Tryon St was observed in most cases after the LRT is in operation, the cross-streets of N Tryon St incurred a relatively higher increase in delay after the LRT is in operation. The current pedestrian and bicycling activity levels seemed insignificant to have an influence on vehicle delay at intersections. The methodological approaches from this research can be used to assess the performance of a transportation facility and identify remedial solutions from a multimodal perspective.
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Duvvuri, Sarvani, and Srinivas S. Pulugurtha. Researching Relationships between Truck Travel Time Performance Measures and On-Network and Off-Network Characteristics. Mineta Transportation Institute, July 2021. http://dx.doi.org/10.31979/mti.2021.1946.

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Trucks serve significant amount of freight tonnage and are more susceptible to complex interactions with other vehicles in a traffic stream. While traffic congestion continues to be a significant ‘highway’ problem, delays in truck travel result in loss of revenue to the trucking companies. There is a significant research on the traffic congestion mitigation, but a very few studies focused on data exclusive to trucks. This research is aimed at a regional-level analysis of truck travel time data to identify roads for improving mobility and reducing congestion for truck traffic. The objectives of the research are to compute and evaluate the truck travel time performance measures (by time of the day and day of the week) and use selected truck travel time performance measures to examine their correlation with on-network and off-network characteristics. Truck travel time data for the year 2019 were obtained and processed at the link level for Mecklenburg County, Wake County, and Buncombe County, NC. Various truck travel time performance measures were computed by time of the day and day of the week. Pearson correlation coefficient analysis was performed to select the average travel time (ATT), planning time index (PTI), travel time index (TTI), and buffer time index (BTI) for further analysis. On-network characteristics such as the speed limit, reference speed, annual average daily traffic (AADT), and the number of through lanes were extracted for each link. Similarly, off-network characteristics such as land use and demographic data in the near vicinity of each selected link were captured using 0.25 miles and 0.50 miles as buffer widths. The relationships between the selected truck travel time performance measures and on-network and off-network characteristics were then analyzed using Pearson correlation coefficient analysis. The results indicate that urban areas, high-volume roads, and principal arterial roads are positively correlated with the truck travel time performance measures. Further, the presence of agricultural, light commercial, heavy commercial, light industrial, single-family residential, multi-family residential, office, transportation, and medical land uses increase the truck travel time performance measures (decrease the operational performance). The methodological approach and findings can be used in identifying potential areas to serve as truck priority zones and for planning decentralized delivery locations.
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